Paper Contents
Abstract
Autonomous Driving Car is one of the most disruptive innovations in AI. Fueled by Deep Learning algorithms, they are continuously driving our society forward and creating new opportunities in the mobility sector. An autonomous car can go anywhere like a traditional car can go and does everything that an experienced human driver does. But its very essential to train it properly. One of the many steps involved during the training of an autonomous driving car is lane detection. In this project, a computer vision model is built to detect the lanes for self-driving cars in real time by using the concepts of computer vision using OpenCV library. The OpenCV tools like color selection, the region of interest selection, grey scaling, Gaussian smoothing, Canny Edge Detection, and Hough Transform line detection are being employed. The main goal is to determine the route for the self-driving automobiles in order to reduce the chance of entering another lane.
Copyright
Copyright © 2023 Vishnu Balaji Eepari. This is an open access article distributed under the Creative Commons Attribution License.
