F16: Kasper

Kasper

The project aims at developing a self driving car using the CAN protocol.
This report discusses in detail the various tasks involved in the development of the car and challenges faced.

Kasper

Abstract

We are in an era of smart machines. With the self driving cars taking over the roads these days, it is an interesting challenge to build our own version of it.
This project aims at the implementation of such a self-driving car.

It is based on CAN communication protocol which has been proven to be robust and deterministic by the automotive industry. The controller used is the SJ-One Board.

The overall driving of the car is divided across five modules:
Sensor: The sensor module essentially checks for obstacles in the driving path.
MotorIO: MotorIO drives the car using the underlying DC motor and Servo.
Geo: Geo controller is responsible for obtaining the location details and aid navigation.
Bridge: Bridge controller interfaces with the Android application where the path to be traversed is selected.
Master: Master co-ordinates the data from each of the modules and drives the MotorIO.

With all these implementations in place, the car will be able to drive itself to the destination.

Car Sideview

Car Topview

Car Backview

Kasper Car

Objectives & Introduction

The objective of this project is to build a self-driving car based on CAN protocol.

The self-driving car is intended to accomplish the following:

• The car is controlled via the Bluetooth application which is responsible for providing commands related to Start, Stop and Navigation Path of the car.
• The destination to be reached and the route to take in order to reach the destination are selected on the map using the Application.
• The checkpoints selected on the map are sent to the Bluetooth controller which is in turn sent to the Master Controller.
• The Master Controller is responsible for updating Geo Controller with the checkpoints as and when the car navigates.
• The Geo Controller provides the direction data which is useful for navigating from the current location to the nearest checkpoint.
• The Sensor Controller is responsible for detecting all the obstacles and providing the relevant obstacle data.
• Based on the Obstacle Avoidance data received from the sensors and the Navigation data received from the Geo Controller, the Master Controller needs to drive the motor towards the intended destination.

System Block Diagram

System block diagram

Team Members & Responsibilities

• Communication Bridge Controller:
  300px

We have used five controllers

• Sensor Controller
  • Shruthi Narayan
  • Rimjhim Ghosh
  • Color coding: Text
• Motor & I/O Controller
  • Prashant Aithal
  • Chethan Keshava
  • Color coding: Text
• Geographical Controller
  • Ankit Gandhi
  • Color coding: Text
• Master Controller
  • Aajna Karki
  • Spoorthi Mysore Shivakumar
  • Color coding: Text
• Communication Bridge Controller
  • Bharat Khanna
  • Shantanu Vasishtha
  • Color coding: Text

Team Schedule

Sl No.	Start Date	End Date	Task	Status	Actual Completion Date
1	09/20/2016	09/27/2016	Divide the project into smaller tasks Allocate each module to a team of two	Completed	09/27/2016
2	09/28/2016	10/04/2016	Study previous reports to get an overall understanding of the project Plan the stages of the project so that tasks across modules can be synchronised Research on the components and order the same Understand the placement of modules in the car	Complete	10/04/2016
3	10/05/2016	10/11/2016	Study the hardware specifications of each module and review them for hardware errors Study the datasheet for the components and come up with pin diagrams Understand the hardware interfacing of each of the modules and test compatibility Analyse power requirements	Completed	10/11/2016
4	10/12/2016	10/18/2016	Analyse the communication required across the controllers. Design Message IDs based on the priority of the messages and the data to be sent across. Implement the DBC file compatible with all the controllers. Interface GPS module with SJOne board. Firmware development and NMEA sentence parsing.	Completed	10/18/2016
5	10/19/2016	11/01/2016	Establish communication across all the CAN controllers over CAN bus based on the DBC file. Verify the power-up interactions between Master and the other controllers Check the sensor functionality stand-alone with a minimal driver. Interface motor to the SJOne board and check for basic functionality. Interface Compass module with SJOne board. Firmware development and stand-alone testing. Work on Bluetooth firmware development to integrate with SJ one board.	Completed	11/01/2016
6	11/01/2016		CAN COMMUNICATION DEMO	Completed	11/01/2016
7	11/01/2016	11/07/2016	Read sensor values and filter the readings. Prepare sensor values to be sent over the CAN bus to the Master controller. Integrate LCD and motor. Implement code for all the transactions of motor and LCD over CAN. Calibrate GPS and Compass Module.Develop complete code for GPS and Compass module communication over CAN Develop basic Android application to work with the Bluetooth module. Test the communication between SJOne board and Android application over Bluetooth protocol. Design the Obstacle avoidance and start with basic implementation.	Completed	11/01/2016
8	11/08/2016		PROJECT PROTOTYPE DEMO	Completed	11/07/2016
9	11/08/2016	11/15/2016	Test each module individually for accurate functionality based on communication with the Master Verify the stringent requirement of Start-up Sync, Periodic heart-beat messages, Stop car through Bluetooth command. Integrate all modules with the Master to test the data flow Design the way-point algorithm and start with the implementation. Design the Navigation Algorithm and start with the implementation.	Completed	11/08/2016
10	11/16/2016	11/29/2016	Implement motor feedback and IO display. Complete the implementation of Android application. Interface all the controllers each with additional implemented features Verify the rest of the communication over the CAN bus across the five controllers	Completed	11/15/2016
11	11/29/2016		PROJECT PROTOTYPE DEMO 2	Completed	11/29/2016
12	11/29/2016	12/06/2016	Test the accuracy of the data sent from the sensor and the settings to the Motor based on the Obstacle Avoidance Algorithm Test the accuracy of check-points from the Bluetooth controller, location data from the Geocontroller sensor and Navigation Algorithm Verify the correct response of each module	Completed	12/06/2016
13	12/07/2016	12/15/2016	Check for tuning or calibration of components if required Brainstorm on the test cases Complete end-to-end testing for various scenarios and conditions	Completed	12/15/2016
14	12/21/2016		FINAL PROJECT DEMO	Completed	12/21/2016
15	12/20/2016		PROJECT REPORT SUBMISSION	Completed	12/20/2016

Parts List & Cost

Item#	Part Desciption	Vendor	Qty	Cost $
1	RC Car	From Preet	1	0
2	SJOne board	Preet	5	80
3	GPS Module	Adafruit	1	40
4	Triple Axis Magnetometer (Compass)	Sparkfun	1	15
5	Bluetooth Module	Sparkfun	1	24.95
6	LCD screen	Adafruit	1	24.95
7	Ultrasonic sensor	Sparkfun	1	27.95
8	Jumper cable	Amazon	1	9.99
9	DB9 Connector	HSC	1	1
10	CAN Transceiver	Microchip	10	10

CAN Communication

CAN (Controller Area Network) also known as CAN bus is a vehicle bus that is designed to communicate with microcontrollers and other devices to achieve a specific application. It finds great application in the automotive industry. CAN frame along with logical and electrical values is shown in figure-1.

File:CAN frame.png

Figure - 1: CAN frame with both logical and electrical levels

File:CAN-2.png Figure - 2: Start of CAN frame

File:CAN-3.png Figure - 3: Arbitration Field

File:CAN-4.png Figure - 4: Remote Transmission Request (RTR)

File:CAN-5.png Figure - 5: Data Length Code (DLC)

File:CAN-6.png Figure - 6: Data Field

File:CAN-7.png Figure - 7: CRC

File:CAN-8.png Figure - 8: Acknowledgement

File:CAN-9.png Figure - 9: End-of-frame (EOF)

Figure No..	Field Name	Length (bits)	Description
1	CAN frame	-	CAN frame with 11 identifier bits.
2	Start-of-frame	1	Denotes the start of frame transmission and indicates beginning of message. It starts with dominant logic 0 bit.
3	Arbitration Field	11	This identifies the messages and indicates the message priority.
4	Remote Transmission Request (RTR)	1	Differentiates remote frame from a data frame. Must be dominant (0) for data frames and recessive (1) for remote request frames.
5	Data Length Code (DLC)	4	Number of bytes of data. This field indicates how much data is stored inside.
6	Data Field	0-64 (0-8 Bytes)	Data to be transmitted.
7	CRC	16	This is a 16-bit cyclic redundancy check code along with CRC delimiter.
8	Acknowledgement	2	Acknowledge bits.
9	End-of-frame (EOF)	7	End of frame bits. Msut be all recessive.

DBC File Implementation

The DBC file used for the project is as below:

VERSION ""

NS_ :

 BA_
 BA_DEF_
 BA_DEF_DEF_
 BA_DEF_DEF_REL_
 BA_DEF_REL_
 BA_DEF_SGTYPE_
 BA_REL_
 BA_SGTYPE_
 BO_TX_BU_
 BU_BO_REL_
 BU_EV_REL_
 BU_SG_REL_
 CAT_
 CAT_DEF_
 CM_
 ENVVAR_DATA_
 EV_DATA_
 FILTER
 NS_DESC_
 SGTYPE_
 SGTYPE_VAL_
 SG_MUL_VAL_
 SIGTYPE_VALTYPE_
 SIG_GROUP_
 SIG_TYPE_REF_
 SIG_VALTYPE_
 VAL_
 VAL_TABLE_

BS_:

BU_: MASTER GEO SENSOR MOTORIO BRIDGE

BO_ 100 STOP_CAR: 1 MASTER 
 SG_ STOP_CAR_data : 0|8@1+ (1,0) [0|0] "" BRIDGE,GEO,SENSOR,MOTORIO

BO_ 110 RESET: 1 MASTER 
 SG_ RESET_data : 0|8@1+ (1,0) [0|0] "" BRIDGE,GEO,SENSOR,MOTORIO

BO_ 130 STOP_CMD_APP: 1 BRIDGE 
 SG_ STOP_CMD_APP_data : 0|8@1+ (1,0) [0|0] "" MASTER

BO_ 140 START_CMD_APP: 1 BRIDGE 
 SG_ START_CMD_APP_data : 0|8@1+ (1,0) [0|0] "" MASTER

BO_ 400 SENSOR_SONIC: 4 SENSOR 
 SG_ SENSORS_SONIC_front_left : 0|16@1+ (1,0) [0|0] "" MASTER,MOTORIO
 SG_ SENSORS_SONIC_front_right : 16|16@1+ (1,0) [0|0] "" MASTER,MOTORIO
 SG_ SENSORS_SONIC_front_center : 32|16@1+ (1,0) [0|0] "" MASTER,MOTORIO
 SG_ SENSORS_SONIC_back : 48|16@1+ (1,0) [0|0] "" MASTER,MOTORIO

BO_ 410 MOTORIO_DIRECTION: 3 MASTER
 SG_ MOTORIO_DIRECTION_speed : 0|8@1+ (1,0) [0|10] "" MOTORIO
 SG_ MOTORIO_DIRECTION_turn : 8|8@1+ (1,-4) [-3|3] "" MOTORIO
 SG_ MOTORIO_DIRECTION_direction : 16|8@1+ (1,0) [0|2] "" MOTORIO

BO_ 420 BRIDGE_TOTAL_CHECKPOINT: 1 BRIDGE
 SG_ BRIDGE_TOTAL_CHECKPOINT_NUMBER : 0|8@1+ (1,0) [0|0] "" MASTER,MOTORIO

BO_ 430 RECEIVE_START_ACK: 1 MASTER
 SG_ RECEIVE_START_ACK_ack : 0|8@1+ (0,0) [0|0] "" BRIDGE

BO_ 440 BLUETOOTH_DATA: 8 BRIDGE
 SG_ BLUETOOTH_DATA_LAT : 0|32@1+ (0.000001,0) [0|0] "" MASTER
 SG_ BLUETOOTH_DATA_LON : 32|32@1+ (0.000001,-127) [0|0] "" MASTER

BO_ 450 NEXT_CHECKPOINT_DATA: 8 MASTER
 SG_ NEXT_CHECKPOINT_DATA_latitude : 0|32@1+ (0.000001,0) [0|0] "" GEO
 SG_ NEXT_CHECKPOINT_DATA_longitude : 32|32@1+ (0.000001,0) [0|0] "" GEO

BO_ 460 COMPASS_DATA: 5 GEO
 SG_ COMPASS_DATA_speed : 0|8@1+ (1,0) [0|0] "" MASTER
 SG_ COMPASS_DATA_heading : 8|16@1+ (1,0) [0|0] "" MASTER
 SG_ COMPASS_DATA_bearing : 24|16@1+ (1,0) [0|0] "" MASTER

BO_ 470 CURRENT_LOCATION_ACK: 1 BRIDGE
 SG_ CURRENT_LOCATION_ACK_ack : 0|8@1+ (1,0) [0|0] "" MASTER,GEO

BO_ 480 GPS_LOCATION: 8 GEO
 SG_ GPS_LOCATION_latitude : 0|32@1+ (0.000001,0) [0|0] "" MASTER,BRIDGE
 SG_ GPS_LOCATION_longitude : 32|32@1+ (0.000001,0) [0|-127] "" MASTER,BRIDGE

BO_ 490 DISTANCE_TO_DESTINATION: 1 GEO
 SG_ DISTANCE_TO_DESTINATION_data : 0|8@1+ (0,0) [0|0] "" MASTER, MOTORIO

BO_ 500 BATTERY_STATUS: 1 SENSOR
 SG_ DISTANCE_TO_DESTINATION_status : 0|8@1+ (0,0) [0|0] "" MASTER, MOTORIO 

CM_ BU_ DRIVER "Master Controller";
CM_ BU_ SENSOR "Sensor Controller";
CM_ BU_ MOTORIO "Motor I/O controller";
CM_ BU_ BRIDGE "BRIDGE Controller";
CM_ BU_ GEO "Geo Controller";
CM_ BO_ 2 "Sync message used to synchronize the controllers"; 

BA_DEF_ "BusType" STRING ;
BA_DEF_ BO_ "GenMsgCycleTime" INT 0 0;
BA_DEF_ SG_ "FieldType" STRING;

BA_DEF_DEF_ "BusType" "CAN";
BA_DEF_DEF_ "FieldType" "";
BA_DEF_DEF_ "GenMsgCycleTime" 0;

BA_ "GenMsgCycleTime" BO_ 400 	          10;
BA_ "GenMsgCycleTime" BO_ 410             10;        
BA_ "GenMsgCycleTime" BO_ 450             10;
BA_ "GenMsgCycleTime" BO_ 460             10;
BA_ "GenMsgCycleTime" BO_ 470             10;
BA_ "GenMsgCycleTime" BO_ 480             10;

PCAN Dongle and BUS Master

PCAN Dongle

The DB9 connector is interfaced to the CAN bus. Using this interface, we can monitor the CAN bus through a tool called BusMaster. PCAN Dongle is used to view the CAN messages on the CAN Bus on the GUI. This has helped us in debugging CAN related errors on all the 5 controllers.

Can Transceiver

CAN Transceiver

CAN Transceiver Pins

MCP2551 Pinout

Sensor Controller

Team Members & Responsibilities

• Shruthi Narayan
• Rimjhim Ghosh

Schedule

SI No.	Start Date	End Date	Task	Status	Actual Completion Date
1	10/5/2016	10/11/2016	Research and order the sensors	Completed	10/9/2016
2	10/12/2016	10/18/2016	Study data sheets and identify pins Prepare hardware connection diagram with SJOne Board	Completed	10/18/2016
3	10/19/2016	10/25/2016	Wire the sensors and check with the sample code Prepare the sensor DBC file	Completed	10/25/2016
4	10/26/2016	11/1/2016	Interface sensor to SJOne board. Read sensor values and filter the readings Prepare sensor values to be sent over CAN bus and test the correctness of sensor CAN messages	Completed	11/1/2016
5	11/2/2016	11/8/2016	Collaborate to achieve basic obstacle avoidance for Project Prototype Demo	Completed	11/8/2016
6	11/9/2016	11/15/2016	Implement and integrate code with multiple sensors	Completed	11/15/2016
7	11/16/2016	11/22/2016	Test and debug the integrated module	Completed	11/22/2016
8	11/23/2016	11/29/2016	Collaborate with the other module teams to make sure that the sensors are in working condition for Project Prototype Demo-2	Completed	11/29/2016
9	11/30/2016	12/6/2016	Test for stability of sensors	Completed	12/5/2016
10	12/7/2016	12/17/2016	Code testing during final phases. Modify code in cooperation with other teams for Final Project Demo	Completed	12/16/2016

Hardware Design

Four Parallax Ping ultrasonic distance sensors are used in this project for obstacle detection and avoidance.

Non-contact obstacle distance can be measured from about 2 cm (0.8 inches) to 3 meters (3.3 yards).

The PING))) sensor works by transmitting an ultrasonic burst and providing an output pulse that corresponds to the time required for the burst echo to return to the sensor. By measuring the echo pulse width, the distance to target can easily be calculated.

Four Sensors are mounted on the car.
Three in the front: front_left, front_center, front_right
One at the back: back

This data related to obstacle detection from each of the four sensors is communicated to the Master Controller over the CAN bus.

The image below shows the wired connections between sensors and SJOne board.

Burst indicator LED shows measurement in progress.

Sensor Hardware Interface block diagram

Sensors mounted on car

Software Design

Operation Squence:

Sensor Operation Flowchart

Software timer for triggering sensor:

All sensors are triggered using software timers. A soft timer is declared for each sensor which keeps track of the time between trigger and echo for that particular sensor.

#define Echo_Return_Pulse 18.5
SoftTimer ping_duration_left;
ping_duration_left.reset(Echo_Return_Pulse);
ping_duration_left.restart();

Hardware timer for calculating distance:

The declaration of hardware timer is as shown below:

lpc_timer_enable(lpc_timer0,1); /*enable timer0*/
lpc_timer_set_value(lpc_timer0,0); /*set timer0 value=0*/

Distance Calculation:

Distance=Speed * Time

The distance covered by the sound wave is twice the actual distance.

Therefore, Distance= (Speed * Time)/2

Speed of sound=340m/s, 1m=100cm, 1us=0.000001 s

Distance covered in 1us= (340*100*0.000001)/2 = 0.017cm

#define Distance_Scale 0.017
time_left = lpc_timer_get_value(lpc_timer0);
distance_left = (Distance_Scale)*time_left;

Ranging:

LeftSIG.setAsOutput(); /*make SIGpin output*/
LeftSIG.setLow(); /*set low for 2us and then high for clean high*/
delay_us(2);
LeftSIG.setHigh(); /* enable Ranging (enable left sonar). trigger/set high for 2 µs (min), 5 µs typical. Ultrasonic burst*/
delay_us(5);
LeftSIG.setLow(); /*set low*/
LeftSIG.setAsInput(); /*make SIGpin input*/

Implementation

Sensor Testing: LV-MaxSonar-EZ(MB1010):

• This sensor gives a range of 0 inches to 254 inches with a voltage supply of 5V.

• Using multiple ultrasonic sensors in a single system caused interference (crosstalk) so the sensors were triggered sequentially which reduced the fluctuating values

• The range reading time of Maxbotix LV-MaxSonar-EZ1 is 49 ms for a range of 254 inches (6.54 m) requirement was to send all sensor values in 10 Hz. Only 2 sensor values could be sent.

• Having the requirement to send the sensor readings in 10Hz, we reduced the delay between the sensors to 15ms covering a range of 101 inches. Send values of all the four sensors (left, center, right, back) in 10Hz using chaining process.

• Even after this there were frequent abrupt values encountered in the readings so considering the fluctuations and requirement we switched to parallax ping sensors.

Sensor Testing: Parallax Ping

Parallax Ping Sensor-Front View

Parallax Ping Sensor- Back View

Pin Configuration

Pin1: GND- Ground pin

Pin2: 5V- Voltage Supply pin

Pin3: SIG- Signal Pin- This emits a short 40Khz burst acting as a trigger pin then the same pin starts listening the echo.

Ping Sensor Features

• Provides precise, non-contact distance measurements within a 2 cm to 3 m range

• Simple pulse in/pulse out communication requires just one I/O pin

• Burst indicator LED shows measurement in progress

• 3-pin header makes it easy to connect to a development board, directly or with an extension cable, no soldering required

• The PING))) sensor works by transmitting an ultrasonic (well above human hearing range) burst and providing an output pulse that corresponds to the time required for the burst echo to return to the sensor. By measuring the echo pulse width, the distance to target can easily be calculated.

Parallax Ping Sensor Coomunication Protocol

The PING))) sensor detects objects by emitting a short ultrasonic burst and then "listening" for the echo. Under control of a host microcontroller (trigger pulse), the sensor emits a short 40 kHz (ultrasonic) burst. This burst travels through the air, hits an object and then bounces back to the sensor. The PING))) sensor provides an output pulse to the host that will terminate when the echo is detected, hence the width of this pulse corresponds to the distance to the target.

Working of Parallax Ping Sensor

Ping Sensor Considerations for use:

The PING))) sensor cannot accurately measure the distance to an object that:

• is more than 3 meters away
• that has its reflective surface at a shallow angle so that sound will not be reflected back towards the sensor
• is too small to reflect enough sound back to the sensor
• if the sensor is mounted low on the device, it will detect sound reflecting off of the floor.

Ping Sensor Object Positioning

Testing & Technical Challenges

Issue 1: Triggering of Sensors in Parallel

Triggering all the sensors in parallel causes interference between adjacent sensors, which in turn causes mis-firing of echo. This results in incorrect distance values from all the sensors.

Solution: Sequential triggering of Sensors Each sensor is triggered only when the previous sensor receives an echo or exceeds the maximum echo reception wait time which is 18.5ms.

Issue 2: Sensor Angle

The Left and Right sensors gave faulty values when placed at an acute angle on the corner of the base board.

Solution: angle>45

Increased the angle to cover wider area and avoid reflections. Increasing the angle to more than 45 degrees helped us get accurate values.

Sensor Testing Video

Sensor Testing Video

Motor & I/O Controller

Team Members & Responsibilities

• Chethan Keshava
• Prashant Aithal

Schedule

SI No.	Start Date	End Date	Task	Status	Actual Completion Date
1	09/27/2016	10/04/2016	Finalize project and team schedule and update project wiki	Completed	10/04/2016
2	10/04/2016	10/11/2016	LCD module selection and purchase	Completed	10/07/2016
3	10/11/2016	10/18/2016	Understanding DC and Servo motor and testing the basic functionality	Completed	10/15/2016
4	10/18/2016	10/25/2016	Interfacing motors and test control of motors from the SJOne board	Completed	10/24/2016
5	10/25/2016	11/1/2016	Control the motors using received CAN messages	Completed	11/1/2016
6	11/1/2016	11/15/2016	Discuss with other teams to get simulated inputs from GPS and sensor module and test car control with those inputs. (Testing of obstacle avoidance)	Completed	11/15/2016
7	11/15/2016	11/28/2016	Collaborate with other teams to establish CAN communication between all the modules	Completed	11/28/2016
8	11/28/2016	12/05/2016	Product testing and trial runs	Completed	12/20/2016

Servo Motor

Servo PWM Signals

The RC Car came with a digital servo motor. The motor works without ESC. The motor is controlled by giving PWM signal from the SJOne board. RC Servos are used to convert electrical signal into polar or linear movement. When signal is transmitted from the control to the car, this signal is decoded and sent to a servo. According to this signal, the servo will rotate it's drive shaft for some degrees, and this rotation is translated into wheel steering. The power supply of servos is usually from 3 to 6 volts, and that could vary between manufacturers and types.

The RC servos are controlled with a PWM signal driven to their signal wire. A PWM signal has three parameters that characterizes it: The first is the amplitude (or peak to peak voltage) of the signal which is around 3 to 5 volts according to it's specifications. The second is the frequency. In PWM, the frequency is usually fixed to a value.The third and most critical value is the positive pulse width of the PWM, i.e. the "duty cycle". The width of the pulse will have a direct result into the drive shaft position.

ESC Wire Pins	SJOne Board Pins
Vcc	3V3
GND	GND
Turn Control	P2.0

Servo motor is controlled with the help of three wires coming out of the servo motor. The wires are VCC, GND and Direction control. The VCC is connected to the 3.3v. GND and direction control are connected to the ground and pwm pins of SJOne board.

DC Motor

File:BLDC.gif

DC Motor

A DC motor converts direct current electrical power into mechanical power. The most common types rely on the forces produced by magnetic fields.

Pulse width modulation (PWM) is used to control the motor. One advantage is that the power loss in the switching transistor is small because the transistor is either fully “ON” or fully “OFF”. The RC Car came with the motor that needed 7.4V of power supply to work. The motor has the power to run the car at a maximum speed of the 35mph. DC motor is controlled with the help of three wires coming out of the ESC. These wires are VCC, GND and Speed control.

Place the car on a raised platform in such a way that the wheels of the car are not touching any surface. Given below is the code snippet for testing out the dc motors using the on-board switches of the SJ One circuit.

        
        if(SW.getSwitch(1))
	{
		dc_stop();
	}
	else if(SW.getSwitch(2))
	{
		dc_accelerate(6.4);
	}
	else if(SW.getSwitch(3))
	{
		dc_accelerate(6.2);
	}
	else if(SW.getSwitch(4))
	{
		dc_accelerate(7.6);
	}

On pressing the on-board switches the wheels of the car would rotate at different speeds.Pressing switch 2 and 3 would make the wheels rotate in he forward direction. The value of the PWM duty cycle can be varied to try out different speeds. Pressing Switch 1 would stop the rotation of the wheel. Switch 4 allows the reversing of the rotation of the wheel. On pressing these switches, either of two functions, shown below are called.

void dc_accelerate(float pwmValue)
{
	MotorControl.setDC(pwmValue);
	stop_flag = true;
}

void dc_stop(void)
{
	if(stop_flag)
	{
		MotorControl.setDC(DC_STOP);
		stop_flag = false;
	}
}

DC PWM Signals

DC Motor Connections

ESC Wire Pins	SJOne Board Pins
Vcc	-
GND	GND
Speed Control	P2.1

The VCC line is not used as required voltage is directly given to the motor through a battery, via ESC. The GND line and Speed control lines are connected to the ground and PWM pin of SJOne board.The DC motor was driven using pwm2 i.e. pin P2.1 of the SJOne board. In-built PWM generation function was used. It requires two parameters, one is pin being used and the other being the frequency.

Motor/IO Controller Software Design

Tasks

Motor/IO Controller Tasks

Task Name	Purpose
Period Init	CAN Bus Initialization, Reset CAN Bus
Periodic 1Hz Callback	Check if CAN bus off and Reset bus. Reset the RPM counter. Send data to LCD.
Periodic 10Hz Callback	Drive car according to the commands received from Master controller

Motor Pin Connections

The car battery accepts compatible Ni-MH batteries. The battery powers the ESC unit, which in turn drives the motor and also powers the steering servo. The SJ One board, ESC unit and steering servo should share a common ground in order for the PWM signals to have the same reference voltage. The CAN transceiver uses the 5V power supply and GND, as well as the P0.0 (CAN RX) and P0.1 (CAN TX) of the SJ One Board. P2.0 (PWM1) and P2.1 (PWM2) controls the steering and motor respectively. This is done by sending out PWM signals from the SJ One board that change the width of a 20ms period waveform. 1ms width represents a 0% duty cycle, 1.5ms width represents a 50% duty cycle, and 2ms width represents a 100% duty cycle.

Node A Source	Node A Pin	Node B Source	Node B Pin	Description
3.3V Power Supply	3.3V	SJOne Board	3V3	SJOne Power
3.3V Power Supply	GND	SJOne Board	GND	SJOne Ground
CAN Transceiver	CAN Tx	SJOne Board	P0.1 (Tx)	SJOne - CAN Tx
CAN Transceiver	CAN Rx	SJOne Board	P0.0 (Rx)	SJOne - CAN Rx
CAN Transceiver	5V	5V Power Supply	5V	SJOne - CAN Power
CAN Transceiver	Ground	5V Power Supply	GND	SJOne - CAN Ground
CAN Transceiver	CANL	CAN BUS	CANL	CANL to CAN BUS
CAN Transceiver	CANR	CAN BUS	CANR	CANR to CAN BUS
Steering Servo	PWM Port	SJOne Board	P2.0 PWM	Steering Control
Steering Servo	Ground	SJOne Board	GND	Common ground for reference voltage
ESC/Motor	PWM Port	SJOne Board	P2.1 PWM	Motor Control
ESC/Motor	Ground	SJOne Board	GND	Common ground for reference voltage

Hardware Design

Motor Controller Block Diagram

Software Flow Diagram

Speed Feedback Encoder

Hall effect Sensor

The speed feedback is simply an rpm meter. It consists of a Hall Effect magnetic sensor with a set of magnets. The magnets are attached to the inner surface of the wheels and the sensor is connected to the end of the shaft connecting the wheel. Whenever the magnet comes near the sensor, a high signal is generated from the sensor and given to the GPIO port of the SJOne board, which is made as positive edge triggered. The interrupt handler would then increment a count which would give us revolutions per second if the above mentioned count is measured over one second (1Hz periodic callback function).

The next step would be to control speed with this calculated rpm. There are two conditions that need to be checked. One is the speed that the MASTER controller is sending (stop, slow, normal or fast) and another is the rpm. Each of the speeds would have a desired rpm and the calculated rpm is compared to the desired rpm and the final PWM signal to the DC motor is incremented or decremented depending on that. A scenario for this usage would be when the car encounters an upward ramp and the car would slow down while climbing to that. The algorithm would check and sense that the rpm has reduced and would modify PWM for DC to increase power and hence the rpm of car is kept at the desired range.

Liquid Crystal Display

IO is the mode of interaction between user and car peripherals. It includes touch screen GLCD and headlights. LCD displays the car status while the touch screen allows the user to shift between various modes. The touch screen GLCD uLCD32PTU has the following features Low-cost 3.2" LCD-TFT display graphics user interface solution. 240 x 320 VGA resolution, RGB 65K true to life colours, TFT screen with Integrated 4-Wire Resistive Touch Panel. Easy 5 pin interface to any host device: VCC, TX, RX, GND, RESET Powered by 4D-Labs PICASO processor. 2 x Asynchronous hardware serial ports (COM0, COM1), TTL interface, with 300 to 600K baud. On-board micro-SD memory card adaptor for multimedia storage and data logging purposes. HC memory card support is also available for cards larger than 4GB. 4.0V to 5.5V range operation (single supply).

The LCD is used to display vital parameters such as

• Speed
• Sensor Readings
• Obstacle proximity
• GPS co-ordinates
• Current and heading compass zone

Shown below are some of the LCD screens created.

First words on LCD

Testing & Technical Challenges

Issue 1: DC motor not responding to PWM signals given to ESC

Even though the PWM signals that were generated from the SJOne board were identical to those generated by the company issued remote control of the car (simulated and checked using the CRO), the DC motor was still not responding to the signals.

Solution: Create the PWM objects just once and never destroy them

This solution, obtained after much research online, was implemented using a singleton class which would be used to declare the PWM objects to pass the signal values and would hence declare the PWM objects only one and never be destroyed or re-initialized.

Issue 2: Car Reversing on giving Forward Pulse.

We observed that initially after turning on the ESC, sometimes the car would go reverse on providing the forward pulse.

Solution:Provide the car a STOP pulse for around 20ms in the Init function of the Periodic scheduler.

This solution helps in the calibration of the ESC. Based on the initial pulse received, the ESC is calibrated. Any delay in switching on the ESC and resetting the SJ ONE board, may lead to the Reverse issue. Hence, the ESC had to be switched on simultaneously while resetting the SJ ONE board. This eliminated the unwanted reverse.

Issue 3: Erratic readings while using the Light Sensor for Motor feedback.

Initially we used the Light sensor to measure the RPM of the car. This was done by taping a white patch on to the front wheel of the car and the sensor was placed just above the wheel. Light sensor should not be used for Motor Feedback purpose since the Light readings were erratic.

Solution:Use Magnetic Hall Effect sensors.

Using the magnetic sensors eliminated the erratic readings. One tricky part is that the sensors need to be mounted really close to the magnets.

Geographical Controller

Team Members & Responsibilities

• Ankit Gandhi

GPS, Compass firmware and Hardware Interfacing.

Schedule

SI No.	Start Date	End Date	Task	Status	Actual Completion Date
1	09/28/2016	10/4/2016	Study previous project reports and order GPS and Compass modules	Complete	10/6/2016
3	10/5/2016	10/11/2016	Pin Identification for GPS module on SJOne and connection diagram Pin Identification for Compass module on SJOne and connection diagram	Complete	10/10/2016
4	10/12/2016	10/18/2016	Identify power requirements for the GPS module Interfacing GPS module with SJone, Firmware Development and NMEA sentence parsing Individual testing of GPS module with SJOne Board	Complete	10/18/2016
5	10/19/2016	10/25/2016	Identify power requirements for the GPS module Interfacing Compass Module with SJOne Board and Firmware Development Individual testing of Compass module with SJOne Board	Complete	10/26/2016
6	10/26/2016	11/01/2016	Calibrating GPS and Compass Module Interfacing the GPS and compass module to Android application.	Complete	11/02/2016
7	11/02/2016	11/08/2016	Integrate GPS and Compass module with Master using CAN	Complete	11/09/2016
8	11/09/2016	12/05/2016	Testing and debugging with whole system	Complete	12/11/2016

Design & Implementation

Hardware Design

Components

SJOne Board

---

Ultimate GPS

The breakout is built around the MTK3339 chipset, a no-nonsense, high-quality GPS module that can track up to 22 satellites on 66 channels

• 512K ROM, 64K(96K) RAM, 1M(2M) SPI Flash, and Micro-SD for storage.
• Arm Cortex-M4 variant contains 96K RAM, and 2Mb SPI flash
• 2-Digit 7-Segment Display
• Power from USB or External Power
• Many GPIOs with two SPI, Multiple UARTs, and I2C and CAN availability

GPS Module

---

Ultimate GPS

The breakout is built around the MTK3339 chipset, a no-nonsense, high-quality GPS module that can track up to 22 satellites on 66 channels

• -165 dBm sensitivity, 10 Hz updates, 66 channels
• 5V friendly design and only 20mA current draw
• RTC battery-compatible
• Internal patch antenna + u.FL connector for external active antenna

The Compass Module - LSM303DLHC

---

Compass

Compass module is based on ST Micros LSM303. When current flows through a wire, a magnetic field is created. This is the basic principle behind electromagnets. This is also the principle used to measure magnetic fields with a magnetometer. The direction of Earth's magnetic fields affects the flow of electrons in the sensor, and those changes in current can be measured and calculated to derive a compass heading.

The features of LSM303DLHCare:

• Simple I2C interface
• 3 magnetic field channels and 3 acceleration channels
• ±2g/±4g/±8g/±16g linear acceleration full scale
• From ±1.3 to ±8.1 gauss magnetic field full scale

Following is the Geo Controller system diagram

Hardware Interface

Below table lists all the hardware pins used in Geo Controller

Geographical Controller Pin Connection Table

Device Description	Bus	Device Pins	SJOne Board Pins
MCP2551 CAN Transceiver	CAN1	RD TD Vcc GND	RD1 P0.0 TD1 P0.1 5V GND
GPS Module	UART2	Rx Tx Vcc GND	TXD2 P2.8 RXD2 P2.9 5V GND
Compass	I2C2	SDA SCL Vcc GND	SDA2 P0.10 SCL2 P0.11 Vcc GND

Software Design

• Initialization

GPS module is interfaced using UART. UART is initialized using the most common configuration 9600/8-N-1(9600 baudrate, 8 databits, no (N) parity bit, and  :one (1) stop bit.

We are using LSM303DLHC compass module. Both GPS and Compass modules are initialized as below.

 void geotaskInit()
 {
     gpsUart.init(GPS_BAUD_RATE,rx_q,tx_q);   // Initialize UART for GPS
     LSM_MAG.init();                          // Initialize LSM303 Magnetometer 
     LSM_ACCL.init();                         // Initialize LSM303 Accelerometer
 }

• Data Communication with GPS and Compass

GPS

GPS module is programmed to send GPS data at 10Hz. Interrupt Handler continuously receives these data and stores in the queue.

Periodically (10Hz) calling the getChar function gives a complete NMEA string.

Following string is used to set NMEA output sentence, we are using GPRMC for this project(Done in initialization)

char gpsRMConlyCommand[] = "$PMTK314,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0*29\r\n";
char gpsOutputFrequency[] =  "$PMTK220,100*2F\r\n";

After sending this, we will be getting GPS string after every 10Hz, which is read by interrupt handler.

Angle between two coordinates

Compass

Compass data is read and send every 10Hz. Compass data consists of Bearing, Distance and Heading

Bearing Calculation:

Bearing angle between two GEO coordinates is calculated using following formula

θ = atan2( sin Δλ ⋅ cos φ2 , cos φ1 ⋅ sin φ2 − sin φ1 ⋅ cos φ2 ⋅ cos Δλ )
  where, φ1,λ1 is the start point
  φ2,λ2 the end point 
  (Δλ is the difference in longitude) 

Bearing

Distance Calculation:

Distance between two GEO coordinates is calculated using following formula

a = sin²(Δφ/2) + cos φ1 ⋅ cos φ2 ⋅ sin²(Δλ/2)
c = 2 ⋅ atan2( √a, √(1−a) )
d = R ⋅ c
  where φ is latitude, λ is longitude, 
  R is earth’s radius (mean radius = 6,371km);

• CAN Communication

In GeoController, we are using can1 for transmitting and receiving can messages. Latitude and longitude values are getting updated periodically.

  void geoTask::sendGpsData()
  {
      if(recvdTrueGPSData == true)
      {
          GPS_LOCATION_t geoGpsData = { 0 };
          geoGpsData.GPS_LOCATION_latitude = curLatitude;
          geoGpsData.GPS_LOCATION_longitude = curLongitude;
          u0_dbg_printf("lat : %f lon: %f\n",curLatitude,curLongitude);
          // This function will encode the CAN data bytes, and send the CAN msg using dbc_app_send_can_msg()
          dbc_encode_and_send_GPS_LOCATION(&geoGpsData);
          recvdTrueGPSData = false;
      }
   }

  void geoTask::sendCompassData()
  {
      COMPASS_DATA_t geoCompassData = { 0 };
      calculateDistance();
      if(newChkPointRecvd)
      {
          calculateBearing();
          newChkPointRecvd = false;
      }
      LSM_MAG.getHeading(&heading);
      geoCompassData.COMPASS_DATA_bearing = bearing;
      geoCompassData.COMPASS_DATA_heading = heading;
      geoCompassData.COMPASS_DATA_speed = speed;
      geoCompassData.COMPASS_DATA_distance = distance;
      u0_dbg_printf("head: %f,bearing:%f,Dis:%.2f\n",heading,bearing,distance);
      // This function will encode the CAN data bytes, and send the CAN msg using dbc_app_send_can_msg()
      dbc_encode_and_send_COMPASS_DATA(&geoCompassData);
   }

Geo Software Flow Diagram

Geo software flowdiagram

Testing & Technical Challenges

1. Compass Calibration

Initially compass doesn't give correct readings,compass needs to be calibrated before it can be used. -->Used following Arduino sketch to get the minimum and maximum readings of the compass on all three axes.

void loop() 
{  
   compass.read();
   running_min.x = min(running_min.x, compass.m.x);
   running_min.y = min(running_min.y, compass.m.y);
   running_min.z = min(running_min.z, compass.m.z);
   running_max.x = max(running_max.x, compass.m.x);
   running_max.y = max(running_max.y, compass.m.y);
   running_max.z = max(running_max.z, compass.m.z);
   snprintf(report, sizeof(report), "min: {%+6d, %+6d, %+6d}    max: {%+6d, %+6d, %+6d}",
   running_min.x, running_min.y, running_min.z,
   running_max.x, running_max.y, running_max.z);
   Serial.println(report);
   delay(100);
}

Use of these Minimum and Maximum Values in the calculation gives better readings

Another issue with compass is tilt compensation. If compass is tilted it gives wrong readings. Tilt needs to be compensated using Accelerometer readings.

pitch = asin(-accxnorm);
roll = asin(accynorm/cos(pitch));
where accxnorm and accynorm are normalized x and y acceleration vector respectively.

Communication Bridge Controller

Team Members & Responsibilities

• Bharat Khanna
• Shantanu Vashishtha

Schedule

SI No.	Start Date	End Date	Task	Status	Actual Completion Date
1	09/20/2016	09/27/2016	Dividing the project into smaller tasks. Based on the number of tasks allocating each task to a team of two.	Complete	09/27/2016
2	09/28/2016	10/4/2016	Study previous project reports and order Bluetooth module and other components based on the following factors: Power requirement, preferably with input voltage within SJOne board output voltage range. Review of the components that give few or no hardware errors. Ease of integration with SJOne board.	Complete	10/9/2016
3	10/5/2016	10/11/2016	Understanding Bluetooth module hardware design and protocol requirement for communication. Figuring out the pins on SJOne board required for communication with Bluetooth module.	Complete	10/11/2016
4	10/12/2016	10/18/2016	CAN message ID's, priorities, data size and format proposals for all the possible CAN messages on the bus. Planning methods for testing Bluetooth module.	Complete	10/18/2016
5	10/19/2016	10/25/2016	Work on Bluetooth firmware development to integrate with SJ one board.	Complete	10/25/2016
6	10/26/2016	11/08/2016	Develop basic Android application to work with the Bluetooth module. Test the communication between SJ one board and Android application over Bluetooth protocol.	Complete	11/08/2016
7	11/9/2016	11/20/2016	Interface Bluetooth module with CAN. Integration of geolocation API with mobile APP. Testing the Bluetooth module with Mobile application by incorporating filter.	Complete	11/20/2016
8	11/21/2016	12/05/2016	Testing the Bluetooth module with Master controller using CAN communication Testing and debugging of the complete system.	Complete	12/18/2016

Design & Implementation

The design section can go over your hardware and software design. Organize this section using sub-sections that go over your design and implementation.

Bluetooth Module

---

Bluetooth Module

RN42XV is built around Microchip's RN42 low power Bluetooth module. Some features of this module are as follows

• Based on the popular 2 x 10 (2mm) socket footprint.
• Voltage range: (3-3.6)Volts
• Current range: 26 μA sleep, 3 mA connected, 30 mA transmit.
• UART data connection interface.
• Sustained data rates: 240 Kbps (slave), 300 Kbps (master)
• Transmission range up to 60 feet (20 m) distance, +4 dBm output transmitter, -80 dBm typical receive sensitivity.
• FHSS/GFSK modulation, 79 channels at 1-MHz intervals.

Hardware Design

The interface between Bluetooth module and controller is as shown in fig

Interface between Bluetooth module and controller

Hardware Interface

The interface between Bluetooth module and controller is as shown in fig

Pinout Bridge Controller

The interface between Bluetooth module and controller is as shown in fig

Table CAN Message and_Message ID

Bluetooth Software Design

The main ffunctions that are used for communication are as follows.

void Check_Start_STOP__CheckPoint_Condition()
{
	if(strcmp(stored_Bluetooth_data,START) == 0)
	{
		START_CONDITION.START_CMD_APP_data = 1;
		dbc_encode_and_send_START_CMD_APP(&START_CONDITION);
		memset(stored_Bluetooth_data, 0, sizeof(stored_Bluetooth_data));
	}
	else if(strcmp(stored_Bluetooth_data,STOP) == 0)
	{
		STOP_CONDITION.STOP_CMD_APP_data = 1;
		dbc_encode_and_send_STOP_CMD_APP(&STOP_CONDITION);
		memset(stored_Bluetooth_data, 0, sizeof(stored_Bluetooth_data));
	}
	else if(check_received == true)
	{
		int loop =0;
		BRIDGE_TOTAL_CHECKPOINT.BRIDGE_TOTAL_CHECKPOINT_NUMBER = check_point_total;
		dbc_encode_and_send_BRIDGE_TOTAL_CHECKPOINT(&BRIDGE_TOTAL_CHECKPOINT);
		for(loop = 0; loop < (check_point_total*2) ;loop=loop+2)
 		{
			BLUETOOTH_DATA_Location.BLUETOOTH_DATA_LAT = store_cor[loop];
			BLUETOOTH_DATA_Location.BLUETOOTH_DATA_LON = store_cor[loop+1];
			dbc_encode_and_send_BLUETOOTH_DATA(&BLUETOOTH_DATA_Location);
		}
		check_received = false;
	}
 } 

void Can_Receive_ID_Task()
{
	if (CAN_rx(can1, &can_msg_Info, 0))
	{
		LE.off(1);
		dbc_msg_hdr_t can_msg_hdr;
		can_msg_hdr.dlc = can_msg_Info.frame_fields.data_len;
		can_msg_hdr.mid = can_msg_Info.msg_id;
		if(can_msg_Info.msg_id == RESET_HDR.mid)
			dbc_decode_RESET(&REST_Info, can_msg_Info.data.bytes, &can_msg_hdr);
		if(can_msg_Info.msg_id == RECEIVE_START_ACK_HDR.mid)
			printf("Case_RECEIVE_START_ACKt\n");
		if(can_msg_Info.msg_id == BRIDGE_POWER_SYNC_HDR.mid)
			printf("BRIDGE_POWER_SYNC_data\n");
		if(can_msg_Info.msg_id == GPS_LOCATION_HDR.mid)
		{
			dbc_decode_GPS_LOCATION(&GPS_LOCATION_RECEIVE, can_msg_Info.data.bytes, &can_msg_hdr);
			sprintf(lat,"%f",GPS_LOCATION_RECEIVE.GPS_LOCATION_latitude);
			sprintf(lon,"%f",GPS_LOCATION_RECEIVE.GPS_LOCATION_longitude);
		        Send_App_curr_loc(lat,lon);
		}
		if(dbc_handle_mia_RESET(&REST_Info, 1))
		{
			REST_Info.RESET_data=RESET__MIA_MSG.RESET_data;
			LD.setNumber(REST_Info.RESET_data);
			LE.on(1);
		}
	}
}

The interface between Bluetooth module and controller is as shown in fig

Bluettoh Software FLow Chart

Implementation

The aim of the project is the design and development of an autonomous vehicle which should be able to traverse from its current location to the destination provided by the user. The destination is provided by the user via Android mobile application. The bridge controller refers to communication between the master controller and the mobile application which is established using RN42XV Bluetooth module. The data that is received via mobile application is start command, stop command, total number of checkpoints and checkpoints itself. The SJOne boards establishes communication with Bluetooth module using UART communication protocol. Once the data is received by the Bluetooth controller it is then sent to the master controller using CAN communication protocol.

Android Application Design

Problem statement

In present day, what is that one thing, which has become an essential part of a human life? Yes, that's correct, the answer is smartphone. It is almost impossible to imagine a single day without a mobile phone. So whether it is for a bank transaction or daily grocery shopping or travel, we need all the updated information in our hand. Keeping in mind this technological need, an application to control and track our self driving car prototype makes total sense. With universality of android platform, we decide to make an adnroid application to control our self driving car prototype "Kasper".

Implementation

The objective of the Android application is to allow the user to communicate with the self driving car using a smartphone. The application is built using Android Studio. It is the official IDE for Android platform development. The project uses .java file to design the logic of the app. To integrate maps within your application, an API key from Google's developer console is required. This API helps Google in tracking the statistics related to the app. When a device is clicked, map pops up which means that map fragment has been successfully implemented. Application uses Android Application framework (API level 25). There are four activities responsible for complete functionality of the application, namely FirstActivity.java, MapActivity.java and LatLong.java.

1. FirstActivity.java is responsible for screen 1 and has some basic buttons to "Turn ON" bluetooth for the device, find available bluetooth devices, make the smartphone discoverable to other devices, list paired devices and "Turn OFF" bluetooth on the device. After selecting an appropriate bluetooth module listed in the paired devices/available devices list, application makes a transition to screen 2.

2. The most basic information that a user must be able to control in a self-driving car is the source and the destination. The source in the application is designed to set with the current location sent by GPS module to bluetooth controller. Screen 2 is controlled by MapActivity.java that opens a map. This file is responsible for creating a bluetooth socket that allows communication between the app and the actual hardware. After the map is visible, destination is marked manually by the user, by selecting a point on the integrated Google map API. The format of the point selection is such that the application will consider the final/last checkpoint as destination while the rest markers will be considered as intermediate checkpoints. Once the user is done marking the check points, the information is sent to Bluetooth controller in the following format:
n,latitude_1,longitude_1...latitude_n,longitude_n
Here, n is number of checkpoints and (latitude_n,longitude_n) will be considered as the destination points by the Bluetooth controller. Once this information is sent, application waits for an acknowldgement in the form of "ack$" from the Bluetooth controller to ensure that the coordinates have been received. If there is no acknowldgement then the start button will not become active. After receiving acknowledgement, start button becomes active and the car will start moving when the button is asserted. Also, at a time only one of the two start or stop button is active. So, once a start button is pushed it is deactivated and stop is active now.
MapActivity.java also includes a handler for receiving messages like current location and then updating them on the map. It also receives coordinates at regular intervals to track the car location.

3. LatLong.java file has a public class with variables and methods that can used anywhere. This is done to set and get the latitude and longitude values.

Bluetooth - Android Interface

Bluetooth - Android interface

Command format and functionality

SI No.	Button	Description	Screen	Command format
1	Turn ON	When this button is pressed it will ask user to turn ON the bluetooth. If the bluetooth is already on then it will display "Already on" message.	Screen 1	--
2	Turn OFF	When this button is pressed it will send a command to hardware to disable the bluetooth.	Screen 1	--
3	Get Visible	When this button is pressed it will ask user to make bluetooth device visible to other devices for 120 seconds.	Screen 1	--
4	List Devices	When this button is pressed it will display all the previously paired devices in a list view on the screen.	Screen 1	--
5	Find Devices	If the intended device is not in the List Devices list then press this button to search for available devices and then connect.	Screen 1	--
6	Connect	When this button is pressed it will update the map with the current location sent by the GPS module to the Bluetooth controller.	Screen 2	Sent: connect Received: loc,latitude,longitude$
7	Send	After configuring the checkpoints, this button is used to send the coordinates of the selected points.	Screen 2	Sent: latitude,longitude
8	Updating car location	The car location can be tracked depending upon the GPS data.	Screen 2	Received - ab,latitude,longitude$
9	Start/Stop	At a time only one of the button is active. Start will run the car while Stop will stop the car.	Screen 2	For Start - start For Stop - stop

Application workflow

Flowchart

Application features

Android application has major features that exploit real time data. Once the phone is connected to the bluetooth module application starts sending and receiving data to perform number of operations. Features are listed below:
1. First feature is to get the current location. Application sends a command to request bluetooth module for updating the current location. After receiving the current location coordinates, application updates them on the Google map API used.
2. Second remarkable feature is updating the map with destination along with check points. This feature is highly desirable as it maps real life situation, in which destination is not reached instantly, but going from one checkpoint to another. Once the checkpoint have been marked they are sent to the master controller.
3. Third feature provide a layer of reliability during communication. Once the checkpoints have been sent, start car button will not become active until there is an acknowldgement from the bluetooth controller that it has received the destination coordinates along with checkpoints. This ensures that the car will not go to any random location.
4. The fourth most important feature in the application is that it exploits the real time data sent by the GPS module. As the car starts moving, GPS coordinates change. This new data is received by the application that helps in tracking the current car location. This feature is extremely useful to trace the route that is taken by the car (if there is any obstacle in the initial path).

Android UI design

File:Screen1.jpg Android App Icon

File:Screen2.jpg Application Homepage. RNBT is the Bluetooth module name

File:Screen3.png Map with connect button

File:Screen4.png App showing current location

File:Screen5.png Check points marked

File:Screen7.png Start button visible after sending coordinates

File:Screen8.png Route to the destination. Yellow dot is the current car location

Testing

• For testing purpose, the code is made modular which means that each functionality in the code is defined in different functions. This approach makes it easier to check the output at different levels, which makes it easier to verify the output at different levels.
• The testing for Bluetooth module is done using "Bluetooth Serial Terminal" Application

Technical Challenges

• Technical challenge faced while communicating between Android app and Bluetooth was sending the current location which is achieved by updating the send_cor_buffer after every 10 milliseconds and sending updated coordinates.

Master Controller

Team Members & Responsibilities

• Aajna Karki
• Spoorthi Mysore Shivakumar

Schedule

SI No.	Start Date	End Date	Task	Status	Actual Completion Date
1	09/26/2016	10/05/2016	Understand the tasks involved and the overall scope of the Master Controller Finalise on the CAN transceiver to be used and place an order for the same	Complete	10/05/2016
2	10/06/2016	10/18/2016	Finalise on the node addresses and message IDs for each of the CAN controllers Implement the DBC file	Complete	10/18/2016
3	10/19/2016	10/25/2016	Understand the overall hardware design and build the car Establish CAN communication with the other controllers based on the DBC file Test the basic power-up interactions with the controllers	Complete	10/25/2016
4	10/26/2016	11/07/2016	Design and implement the Obstacle avoidance algorithm	Complete	11/07/2016
5	11/08/2016	11/15/2016	Co-ordinate during the integration of the motor and sensor modules from the Master Controller perspective Establish complete communication across different CAN controllers interfaced Strictly monitor sync and the stop command from bluetooth Design and start the implementation of the Navigation Algorithm	Complete	11/20/2016
6	11/16/2016	11/29/2016	Test the full-fledge functionality of Obstacle Avoidance algorithm based on data from all the sensors and commands to the motor controller. Verify communication with Bluetooth controller for accurate check-point data Test the functionality of Navigation algorithm with the location data from Geocontroller	Complete	11/29/2016
7	11/29/2016	12/06/2016	Test the algorithms for any unaccounted scenarios or issues faced Verify the accuracy of data received from all controllers and the response from the Master Controller	Complete	12/12/2015
8	12/06/2016	12/15/2016	Test extensively and debug issues	Complete	12/18/2016

Design & Implementation

The Master Controller is responsible for driving the car based on the Obstacle Avoidance and Navigation algorithm.

Obstacle avoidance algorithm uses the sensor data and drives the motor accordingly. Navigation algorithm uses the data from compass to adjust the direction based on the destination.

Hardware Design

Master Controller is interfaced to CAN transceiver as shown below.
CAN messages are transmitted and received over the bus establishing communication with the rest of the controllers.

Hardware Interface

Master Controller is concerned with the implementation of algorithms to drive the car.
The hardware interface is only to the CAN transceiver over which communication with the rest of the controllers happens.

Master Controller interface to CAN transceiver

Software Design

Master Controller receives CAN messages in the 100Hz periodic function.
The functionality to drive the car based on Obstacle Avoidance and Navigation Algorithm is implemented in the 10Hz periodic function.
The 1Hz periodic function implements the logic to check if CAN bus is on/off.

Functionality in 1 and 100Hz of Master Controller

The drive commands to the car are based on the Obstacle Avoidance and the Navigation algorithm.
Obstacle avoidance is given priority over Navigation Algorithm.
If no obstacles are encountered, the control falls to the Navigation algorithm which directs the car to the destination.

Functionality in 10Hz of Master Controller

Below is the detailed flowchart of Obstacle and Navigation Algorithm

Obstacle Avoidance Algorithm:

Three zones are declared based on the distance of the obstacle - NEAR zone, MEDIUM zone and FAR zone.

Based on which zone the obstacle is encountered in, appropriate decisions are made to drive the car.

The algorithm is described using the flowchart below.

Navigation Algorithm:

The compass readings obtained range from 0 to 360. Based on the readings, the data is divided into quadrants. Based on each of the value received, appropriate drive decisions are made.

Navigation Algorithm has lower priority as compared to Obstacle Avoidance algorithm.

The Navigation Algorithm is described using a flowchart below:

Obstacle And Navigation Algorithm

Implementation

State Diagram

The overall function of the Master Controller can be visualized through the following state machines:

Initial State
This is the initial state of the car when no commands are received. The car is dormant at this point.

Send Checkpoints
Once the checkpoint data is received from the Bridge controller, it is saved in an array.
The checkpoints need to be sent to Geo controller sequentially. As and when a particular checkpoint is reached, next checkpoint data needs to be sent.
The state of the controller in which checkpoint data is sent constitutes this state.

Navigating
Navigation is started only after the Start command is received from the Bridge Controller.
When a CAN message with the Start command is received, the state of the car is changed to Navigating.

Stop Car
When Stop command is received from the Bridge Controller, the state of the car is changed to Stop Car. Motor commands are sent to stop the car.

In terms of coding, they are defined as enum values:

enum STATE_CAR{
	SEND_CHECKPOINTS,
	NAVIGATING,
	STOP_CAR,
	INITIAL_STATE
};

Testing & Technical Challenges

Few challenges faced during the phase of the project are as below:

CAN Receive function It is advisable that the system has only one CAN Receive. The values can be be populated in 100Hz and used in 1Hz/10Hz based on priority. Having more than one CAN receive can result in messages being missed.
When reading messages in 100Hz , an 'if' instead of 'while' could be used so that there is no task overrun.

Conclusion

The self driving car project has definitely helped us learn and grow in terms of technical knowledge as well as team management. Right from choosing the hardware components by considering every aspect of its functionality to programming them, this project has indeed given us an end-to-end learning of the entire system. There has been a lot of decision making which has resulted in many brain-storming sessions with the team as a whole.

The different phases of the project have been significant in their own terms. Selection of hardware is of utmost importance. We have had scenarios where we changed the ultrasonic sensors and the RPM sensors for greater accuracy. A major learning is that component selection needs diligent efforts. Sticking to the demo timelines would help a great deal. Code reviews would be beneficial as well.

We, as a team, have learnt how to build a machine from scratch. We also have learnt how a considerably big team can manage their particular modules and co-ordinate with the other modules as well. Team management has been a good takeaway here.

It has been overall a tremendous learning experience. I hope the further projects benefit from our learning curve documented.

Project Video

Kasper Project video

Other video links

• Obstacle Avoidance

Obstacle avoidance

• Sensor and LED blinking test

Sensor test

Project Source Code

• Gitlab Source Code Link

References

Acknowledgement

This project has been an amazing learning experience for the whole team. The knowledge we take from here is immense. We are grateful to Professor Preetpal Kang for his guidance and efforts towards making our learning commendable. Also, we would like to extend our sincere thanks to the ISA team for their continuous support. Here is a special mention to the Kasper team for all their meticulous and diligent efforts towards making this project a reality.

References Used

[1] Preetpal Kang's lecture notes of CMPE 243, Computer Engineering, San Jose State University, Aug-Dec 2016. 
[2] Fall 2014 Wiki Projects
[3] LPC1758 User Manual
[4] Parallax Ultrasonic Sensor
[5] CAN Transceiver
[6] Razor IMU
[7] LSM303 Application Note
[8] Adafruit Ultimate GPS Breakout - 66 channel w/10 Hz updates - Version 3
[9] GPS data calculation accuracy
[10] GPS Longitude Latitude distance calculator
[11] Calculate distance between two points
[12] GLCD with Touchscreen
[13] GPS Datasheet
[14] CAN Communication