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.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

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


    Weitere Titelangaben:

    Algorithms for Intelligent Systems


    Beteiligte:
    Shukla, Praveen Kumar (Herausgeber:in) / Mittal, Himanshu (Herausgeber:in) / Engelbrecht, Andries (Herausgeber:in) / Anto, Harshitha Devina (Autor:in) / Malathi, G. (Autor:in) / Kumar, G. Bharadwaja (Autor:in) / Ganesan, R. (Autor:in)

    Kongress:

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



    Erscheinungsdatum :

    2023-09-28


    Format / Umfang :

    16 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    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

    Freier Zugriff

    Lane Detection in Video for Autonomous Vehicles

    Srivastava, Apoorva / Sharma, Anmol / Yadav, Dileep Kumar | IEEE | 2022


    Lane Detection in Autonomous Vehicles Using AI

    Saranya, M. / Archana, N. / Janani, M. et al. | Springer Verlag | 2023