Paper Contents
Abstract
Modern intelligent transport systems and advanced driver support systems both depend on accurate car lane detection. The short summary of automobile lane detection in this abstract emphasises its significance for improving vehicle safety and autonomous driving capabilities. The abstract highlights the contributions of both standard and deep learning-based techniques to reliable lane recognition. It also refers to difficulties like occlusions and various lighting situations. To allow safer and more effective transportation systems, the abstract acknowledges the need for more research and development to enhance automobile lane detecting approaches.
Copyright
Copyright © 2023 Mayank Srivastava. This is an open access article distributed under the Creative Commons Attribution License.
