Traffic accidents are a serious problem in developing countries. These accidents can be caused by poor infrastructure and the arrogance of drivers. In addition, semi-autonomous systems are automotive technologies that have been developed in recent years and are starting to be implemented in existing vehicles. This literature review paper will mainly discuss how object detection works in semi-autonomous systems, how semi-autonomous systems operate, and whether semi-autonomous cars can reduce the number of traffic accidents. Its main objective is to build driver confidence in semi-autonomous systems by assisting in driving and supporting the development of them. In the process of writing this paper, the method we use follows the guidelines stated in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P).


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Systematic Literature Review: Object Detection in Semi-Autonomous Car


    Beteiligte:
    Sunjaya, Eric (Autor:in) / Kurniadi (Autor:in) / Daniel, Christian (Autor:in) / Kurniawan, Afdhal (Autor:in) / Anggreainy, Maria Susan (Autor:in)


    Erscheinungsdatum :

    2023-09-14


    Format / Umfang :

    477989 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Systematic literature review of collaborative SLAM applied to autonomous mobile robots

    Aloui, Khalil / Guizani, Amir / Hammadi, Moncef et al. | IEEE | 2022


    Real-Time Object Detection Based on UAV Remote Sensing: A Systematic Literature Review

    Zhen Cao / Lammert Kooistra / Wensheng Wang et al. | DOAJ | 2023

    Freier Zugriff


    Understanding autonomous vehicles:A systematic literature review on capability, impact, planning and policy

    Faisal, Asif / Yigitcanlar, Tan / Kamruzzaman, Md. et al. | BASE | 2019

    Freier Zugriff