Transportation serves as a vital link for our economy, various types of vehicles have been an integral part of economic growth but have led to an enormous increase in traffic and its attendant problems like accidents and mortality. Hence, there is ample scope for improvement of newer technologies that have aimed to reduce the negative impact of high volumes of high-velocity traffic, easing traffic congestion and making transport safer. The objective of this paper is to review some of the recent advances in the field of lane detection in autonomous vehicles, the problems perceived, and the solutions designed. Image processing technologies used in traditional lane detection systems were observed to have inherent disadvantages. Further advances in lane detection consist of models built to detect lanes in complex environments mainly using two-stage lane feature extraction implemented with the you only look once (YOLO) v3 algorithm for precise and faster robust lane detection in complex real-life scenarios. In the next few years, huge breakthroughs will happen in autonomous vehicles being able to systematically detect lanes without supervision, using new computer vision-based lane detection methods to make complete autonomous vehicular travel a safe reality.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Recent Advances in Computer Vision Technologies for Lane Detection in Autonomous Vehicles


    Additional title:

    Algorithms for Intelligent Systems



    Conference:

    International Conference on Computer Vision and Robotics ; 2023 ; Lucknow, India February 24, 2023 - February 25, 2023



    Publication date :

    2023-09-28


    Size :

    16 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





    GPS-guided Vision-based Lane Detection for Autonomous Vehicles

    Getahun, Tesfamchael / Karimoddini, Ali | IEEE | 2023


    Lane estimation for autonomous vehicles using vision and LIDAR

    Huang, Albert Shuyu | DSpace@MIT | 2010

    Free access

    REDUNDANT LANE DETECTION FOR AUTONOMOUS VEHICLES

    STAMENKOVICH JOSEPH | European Patent Office | 2025

    Free access

    Computer Vision based Accident Detection for Autonomous Vehicles

    Chand, Dhananjai / Gupta, Savyasachi / Kavati, Ilaiah | ArXiv | 2020

    Free access