• divya chandrakant jagtap
• venkatesh manthuri
• ramkrishna bhoge
• Mrs.M.A kango

Car accidents is a very serious issue arising nowadays. Around 2.6 million people are injured in vehicle accident every year. Considering this issue we propose a system which is self paced that is automatic. In this paper, we concentrate on development of a self driven vehicle which is based on image processing concepts such as Canny Edge Detection, Hough Transform. In contrast to current systems that deploy huge and bulky sensors, our system uses less bulky and efficient in operation(ultrasonic sensor). The vehicle follows path which provided by GPS. Camera is used for colour and lane detection, whereas for obstacle detection ultrasonic sensor is used. Our testing results show that our system is accurate and efficient and provides real time results.

Raspberry Pi, Camera, Lane detection, Obstacle detection, Colour detection, GPS.

"AUTONOMOUS VEHICLE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.17-20, June 2019, Available :http://www.jetir.org/papers/JETIR1906P03.pdf

"AUTONOMOUS VEHICLE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp17-20, June 2019, Available at : http://www.jetir.org/papers/JETIR1906P03.pdf