Self-driven vehicles have many type of algorithms which simulate the driving behaviour in the real world majorly in
autonomous miniature vehicles. In the last decade, several approaches have been proposed for obstacle avoidance in selfdriving vehicles. In this, our team is implementing a vehicle which is capable of navigating in an unknown environment and
detecting obstacle by using Raspberry Pi 3+ and a LIDAR module avoiding Computer Vision (CV) techniques. The further
enhancement is being done by implementing a mapping feature to generate an image of environment during navigation.
