Obstacle avoidance and object detection for semi autopilot system of an electric car

Abstract

In this modern era of transportation we are experiencing the best utilization of technology in our daily life though using different types of advance vehicles. If we look at the transportation industry one similar thing we can easily locate among all the giant vehicle manufacturing companies that is autonomy. As applying autonomy in the transportation system is the next revolution in vehicle market so almost every renowned companies from different corner of the world trying to integrate driverless vehicle control operation in their new designs. In this process the control part is the main focused area to achieve maximum percentage of accuracy. In this following research paper we are also focusing on development of control system of a driverless car. Applying CAN Bus networking system ensures a smooth data transfer. Integrating different sensors like Kinect, Camera, high resolution ultrasonic range finder, human movement detection sensor etc. into one single system makes the design unique. Image processing operation helps the system to take correct decision about mobility, obstacle avoidance and lane detection. Critical experimental analysis of the system helps us to measure the parameters of accuracy in real life scenario.