Environmental perception is a key technology for Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles, and thus a crucial prerequisite for traffic situation assessment and reasonable decision making. Sensor fusion can make full use of the characteristics of multi-sensors to achieve complementary advantages to improve the target recognition precision in various weather conditions. In this paper, a robust target detection algorithm based on millimeter wave (MMW) radar and camera fusion is proposed. Firstly, the images captured by the camera with low visibility in foggy weather are defogged. Then, the effective target is filtered by MMW radar, and mapped to the camera image to obtain the corresponding regions of interest (ROIs). Finally, the method of weighted is used to combine camera vision network recognition results with the radar target estimation results, and obtain the final result of the ROIs. The simulation results indicates that the detection precision through fusion of MMW radar and camera significantly outperforms that of single sensor.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Target Detection Algorithm Based on MMW Radar and Camera Fusion*


    Beteiligte:
    Jiang, Qiuyu (Autor:in) / Zhang, Lijun (Autor:in) / Meng, Dejian (Autor:in)


    Erscheinungsdatum :

    2019-10-01


    Format / Umfang :

    1360823 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Improved Joint Probabilistic Data Association Multi-target Tracking Algorithm Based on Camera-Radar Fusion

    Zhang, Han / Wang, Hehe / Bai, Jie et al. | SAE Technical Papers | 2021


    A New Method of Target Detection Based on Autonomous Radar and Camera Data Fusion

    Tan, Bin / Huang, Libo / Bi, Xin et al. | SAE Technical Papers | 2017


    Camera-Radar Data Fusion for Target Detection via Kalman Filter and Bayesian Estimation

    Bai, Jie / Huang, Libo / Chen, Sihan et al. | SAE Technical Papers | 2018



    RADAR AND CAMERA FUSION BASED WIRELESS COMMUNICATION MISBEHAVIOR DETECTION

    QI WENYUAN / XING ZHENGYU | Europäisches Patentamt | 2024

    Freier Zugriff