An Intelligent AGV with Lane Detection and Obstacle Avoidance Using ARM

Abstract

 Road accident is ‘a global tragedy’ with ever-rising trend. This Project aims at the development of an AGV (Automatic Guided Vehicle) using ARM Cortex M3 based microcontroller which will prevent the accidents in road ways. The AGV will be guided by the controller by gathering the information provided by the sensors. The lane detection is done by the color sensor input and other vehicles are detected by the ultra sound sensor. If the system detects that a vehicle is going before it and the other lane is free then it will switch over to the next lane. Also if the other lane is not free then it will slow down to avoid accident. The vehicle speed and direction will be controlled by the ARM controller using 4 stepper motors.

Authors and Affiliations

Sowndar Paul. J

Keywords

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  • EP ID EP117157
  • DOI -
  • Views 74
  • Downloads 0

How To Cite

Sowndar Paul. J (30).  An Intelligent AGV with Lane Detection and Obstacle Avoidance Using ARM. International Journal of Engineering Sciences & Research Technology, 3(5), 671-677. https://europub.co.uk./articles/-A-117157