Vision Based Autonomous Navigation Robot

This paper proposes a method to navigation of robot using camera. Controlling the traffic in the metro cities is the huge due to increase in the vehicles population and increase in accidents too. To prevent, many of the plans are implemented but fails. To overcome these problems, we come up the idea of Controllable Traffic Autonomous Car. The cars most nowadays are smart we utilize that idea and make a prototype which control according to the traffic signals and to prevent the accidents by the machine learning prediction and Open CV Neural Network technique. The main controlling unit if the car is raspberry pi which teaches the car to move in the path and to stop when the red signal in the traffic, to maintain the speed and to stop the car if it get collide with nearby vehicles. The distance between the cars is monitored with the help of ultrasonic sensor. The self is going to done by the convolution neural network and the object prediction by the Haar cascade classifiers.