In recent years, the rapid growth of Internet of Things (IoT) technology and computer vision (CV) technology has provided strong support for the application of deep learning (DL) in various fields. Among them, DL based object detection algorithms have attracted much attention due to their excellent performance. Vehicle target detection, as an important branch of object detection, is crucial for the construction of intelligent driving and intelligent transportation systems. In autonomous driving technology, using machines to detect and recognize traffic signs, vehicles, and pedestrians is of great significance for improving driving safety, reducing labor costs, and demonstrating broad application prospects. In this paper, a target recognition algorithm based on CV and DL is proposed to improve the target detection capability of auto drive system. This algorithm combines the image processing technology of CV and the feature extraction and classification ability of DL to achieve fast and accurate recognition of targets such as vehicles and pedestrians in road environments. Experimental results show that through training and optimizing the DL model, the algorithm can perform well in complex and changeable traffic scenes and provide reliable target detection support for the auto drive system.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    The Application of Computer Vision Target Recognition Technology in Autonomous Driving


    Beteiligte:
    Wang, Yaning (Autor:in) / Bi, Xin (Autor:in)


    Erscheinungsdatum :

    29.07.2024


    Format / Umfang :

    422203 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Computer Vision for Autonomous Driving

    Kanchana, Bimsara / Peiris, Rojith / Perera, Damitha et al. | IEEE | 2021



    Autonomous Driving Through Road Segmentation Based on Computer Vision Techniques

    Jain, Aditi / Harper, Matthew / Jayabalan, Manoj et al. | Springer Verlag | 2023


    Collaborative Autonomous Driving: Vision and Challenges

    Dong, Zheng / Shi, Weisong / Tong, Guangmo et al. | IEEE | 2020