Vehicle Control Using Raspberrypi and Image Processing

Abstract

The objective of the proposed work  is to implement the available technique to detect the stop board and red traffic signal for an autonomous car that takes action according to traffic signal  with the help of raspberry pi3 board. The system also uses ultrasonic sensor  for distance measurement for the purpose of speed control of vehicle to avoid collision with ahead vehicle. Rpi camera module is ued for signboard detection and ultrasonic sensors are used to get the distance information from the real world.The proposed system will  get the image of the real world from the camera and then masking  and contour techniques are used to detect the red signals of the  traffic and To determine the traffic board signs like stop board system will use haar cascade technique to determine the stop words.So car will be able to take action and reduces the chances of human errors like driver mistakes that results road accidents .The coding for this whole system is in python and for image processing opencv is used that is much efficient as compare to the matlab .Ultrasonic sensor is used for the obstacle detection in place of camera because distance finding from the camera is more complex and computational as compare to the ultrasonic sensor. Ultrasonic sensor directly gives the obstacle distance infront of it without more complex computations.

Keywords: Raspberry pi3,traffic signal detection,obstacle detection, python