Case Study of Self Driving Car Lane Detection using Digital Image Processing

Abstract

Self-driving vehicles have expanded dramatically over the last few years. The introduction of autonomous vehicles will alter human existence. Large datasets and powerful computers are needed for such systems. An emulator exists that makes it simple to produce the desired amount of photos of a moving vehicle. On the basis of only the available photographs, the challenge tried to anticipate and detect traffic lanes.