A Asha Sai Lakshmi

S Pradeep Kumar

Dr. A Ravi

A Alekhya

G Anjali

B Naveen Kumar

Abstract

Computer Vision in autonomous vehicles can lead to the designing and development of advanced and next-generation vehicles which can overcome driving obstacles while keeping passengers safe. Such vehicles can transport passengers to their destination, eliminating human involvement. The basic concept is taken from line following robot and Raspberry pi it is enhanced by image processing algorithms. The raspberry pi board is used to process image processing algorithms using open CV python coding, and ultrasonic sensor is also used to find obstacles. The vehicle moves on the road-based and Ultimately and on color lines identification. Ultimately the efficient autonomous vehicles can be designed using computer vision techniques. This method is used to reduce human involvement and to traffic collisions, to avoid major accidents which are made by human mistakes. If an obstacle may present on road the vehicle measures the obstacle distance with help of computer vision. Then automatically vehicle moves on the other side by the identification of white lanes which are present on roads the vehicle moves only on the black area on road. When the vehicle reaches white lane the vehicle automatically stops and takes direction on road.

Keywords- Artificial intelligence, Computer vision, Image processing, Object detection.