Virtual Self Driving Car using Improved Convolution Neural Networks

recently, the technological advancements have led to the adoption of technology in the automobile sector. There has been a constant improvement in the design and development of self-driving cars. The primary goal of self-driving car is to make the vehicle move in the correct lane. So, lane detection is one of the preliminary steps to make this possible. Existing literatures have suggested various schemes and methods to implement and improve the efficiency of the self-driving cars. In this paper, improved CNN model has been used to develop the self-driving car. This scheme outperforms by with less hardware resource, processor power and memory size.