Difference between revisions of "F12: Self-Driving GPS Following Car"

Revision as of 19:51, 17 December 2012

Self-Driving GPS Following Car

Abstract

The objective of this project is to create an autonomous vehicle that follows another car. A leading car will continually inform the autonomous car of its location. The autonomous car will then drive to the target location while avoiding obstacles along the way.

Introduction and Objectives

The Self-Driving GPS Following Car follows another car by driving to the GPS coordinates of the leading car. A ZigBee communication link transmits the GPS data from the leading car to the following car. The following car utilizes a GPS and a compass to determine its own location and orientation relative to magnetic north. Using the two pairs of GPS coordinates and the orientation of the car, the bearing and distance necessary to be traveled is calculated. The car uses proximity sensors, so the car can avoid obstacles while navigating to the destination.

The project required the following objectives to be accomplished:

• Read GPS coordinates of the leading car and the following self-driving car
• Use XBee modules to send and receive GPS coordinates from the leading car to the following car
• Compute the true north bearing and distance necessary for the following car to reach the leading car
• Account for difference between true north and magnetic north in bearing calculation
• Read the magnetic north bearing using a compass
• Read the distance to objects using proximity sensors
• Control steering motor to steer left, right, and straight using a motor controller
• Control direction motor to move forward, backward, and stop using a motor controller
• Determine algorithm to drive toward destination
• Determine algorithm to avoid obstacles

Team Members and Responsibilities

• Elias Barboza
  • PWM driver, motor controllers, and obstacle avoidance
• Caleb Chow
  • Read compass, read GPS coordinates, and move toward target GPS coordinates
• Stephen Lu
  • ADC driver, read proximity sensors, compute distance based on measurement, and obstacle avoidance

Schedule

Parts List & Cost

Design & Implementation

Hardware Design The leading car consists of the following additional hardware:

• XBee module
• GPS module
• 3.3V regulator circuit

The leading car is responsible for sending its GPS coordinates to the following car. This is accomplished by sending the raw GPS data over ZigBee to the following car. The GPS and XBee modules both use UART to communicate, so no microcontroller is necessary. The paired XBee modules will take care of the data transfer. Both modules ran off the same 3.3V power supply, which came from a regulator off of the car’s battery pack.

File:CmpE146 F12 T7 Leading Car Block Diagram.png

Hardware Design

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Hardware Interface

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Leading Car

Leading Car Block Diagram

• GPS – UART
  • Outputs GPS data on Tx to XBee Rx
• XBee – UART
  • Inputs data to send on Rx from GPS Tx
• Power Supply – 3.3V
  • Supply power to GPS and XBee modules
  • Add 3.3V voltage regulator with filtering capacitors to RC car’s battery pack

Following Car

Following Car Block Diagram

• Microcontroller
  • 2012 SJSU One Board (LPC1758)
• GPS – UART
  • P2.8 = Tx, P2.9 = Rx
  • PINSEL4 = 0b10 for both
• Xbee – UART3
  • P4.28 = Tx, P4.29 = Rx
  • PINSEL9 = 0b11 for both
• I2C2 Devices
  • P0.10 = SDA, P0.11 = SCL

    PINSEL0 = 0b10 for both

  • Components :

    Proximity sensor (SRF08)

    Compass

• Proximity Sensors (LV-MaxSonar-EZ4) – ADC4 and ADC5
  • P1.30 = AD0.4
  • P1.31 = AD0.5
  • PINSEL3 = 11 for both
• Motor Controllers (2) – PWM
  • P1.20 = PWM1.2
  • P1.24 = PWM1.5
  • PINSEL3 = 10 for both
• Power Supply – 5.0V from RC car's original battery pack
  • Supply power to motor controllers for motors
  • Supply power to SRF08 proximity sensor
• Power Supply – 3.3V
  • Microcontroller 3.3V output
  • Supply power to GPS, Xbee, and LV-MaxSonar-EZ4 proximity sensors

Software Design

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Implementation

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Testing & Technical Challenges

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Wifi Connection Issues

Many wifi connection issues were encountered. To solve this problem, a dedicated task was created to re-connect to wifi if the connection was ever lost.

Conclusion

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Project Video

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Project Source Code

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References

Acknowledgement

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References Used

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Appendix

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