Monocular 3D lane detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks

arXiv:2404.06860v1 Announce Type: new
Abstract: 3D lane detection plays a crucial role in autonomous driving by extracting structural and traffic information from the road in 3D space to assist the self-driving car in rational, safe, and comfortable path planning and motion control. Due to the consideration of sensor costs and the advantages of visual data in color information, in practical applications, 3D lane detection based on monocular vision is one of the important research directions in the field of autonomous …

abstract arxiv autonomous autonomous driving car challenges control cs.cv detection driving information lane detection path planning role safe self-driving self-driving car sensor space traffic type