Artificial Co-Drivers as a Universal Enabling Technology for Future Intelligent Vehicles and Transportation Systems

  • February 5, 2016
  • Blog
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BASE PAPER TITLE:

Artificial Co-Drivers as a Universal Enabling Technology for Future Intelligent Vehicles and Transportation Systems

OUR PROPOSED TITLE:

DRIVER SAFETY AND ASSISTANCE SYSTEM IN AUTOMOTIVE BY LOW RATE WIRELESS PERSONAL AREA NETWORK

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DRIVER SAFETY AND ASSISTANCE SYSTEM IN AUTOMOTIVE BY LOW RATE WIRELESS PERSONAL AREA NETWORK

ABSTRACT

Vehicles have become a part of almost everyone’s life, taking people from one place to another.  In such a fast paced mode of transport, there are a variety of ways in which drivers can get distracted while driving, for example drinking, looking sideways, talking over a mobile  phone etc. Another major issue is drivers in city buses or cars who are aged above 40 are at a higher risk of heart attack or similar heart related problems. A heart attack for a city bus driver while driving is fatal not only to him but also for the passengers

This project provides an effective way to overcome these problems by not only monitoring the drivers distraction and health condition but also provides a driver assist co-pilot system that takes the vehicle’s cruise control for short durations during driver distractions or permanently during a situation like heart attack and brings the vehicle to a safe halt control systems are a comfort feature in modern high end cars that monitor the vehicles in front and maintain the driver. The co-pilot system in this project is an intelligent emergency cruise control system which actively takes control of the vehicle by monitoring the driver distraction and health condition as well.

Co-Pilot System:

This concept could be realized only by means of hybrid sensor and actuator network that has both wired and wireless nodes. IEEE 802.15.4 based wireless body area network is formed to monitor the drivers head movement via MEMS motion sensors and heart rate signals. Emergency control operates by integrating both these networks and takes decisions in real time and acts like a co-pilot of an aircraft.

Hybrid Sensor Network based Driver Assist Co-Pilot System can be implemented in all forms of vehicles where safety will be given first priority and has the potential to become a standard part of any future vehicle.

Software Libraries Used:

  • PIC18F Device Driver Library.
  • Sensors: ADC device drivers.
  • IEEE 802.15.4 Wireless Protocol Stack.
  • MRF24J40MA Microchip Wireless MiWi via SPIC protocol.

Software Tools Used:                   

  • Programming Language : Embedded C
  • Development Tool :         MPLAB IDE 8.56v
  • Compiler :         C18

Embedded Protocols Used:

  • I2C – (Inter integrated circuit ) Serial communication Protocol
  • SPI – (Serial peripheral interface) : Protocol
  • UART – (Universal Asynchronous Receiver &Transmitter) : Protocol

Hardware used:

  • Microcontroller : PIC 18f45j11.
  • MiWi Module :  Wireless Transceiver.
  • Digital Display : 20X4LCD.
  • IR Sensor : To Detect Obstacle.
  • Heart Beat Sensor : Heart Pulse.
  • MQ2 / MQ7 :To find Alcohol.
  • DC Gear Motor : 12v DC (30/ 100 rpm)
  • Battery :Battery 12V, 1.2 Amps.
  • I/O Expander : PCF8574AP
  • GSM Modem : SIM 300 / SIM 900.
  • 20X4 LCD : Display.
  • Linear POT : Accelerator pedal
  • MEMS Accelerometer: Head Moments
  • DRIVER SAFETY AND ASSISTANCE SYSTEM IN AUTOMOTIVE BY LOW RATE WIRELESS PERSONAL AREA NETWORK

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