To gain reliable and accurate perception is essential for autonomous driving in complex traffic environments, which often requires the cooperative perceptions based on on-board and roadside sensors. However, fusion of roadside sensors is rarely studied. Moreover, road-side perception is not only essential for autonomous driving, but also helpful for traffic management. In this chapter, we first give a detailed introduction on cooperative perceptions, along with core tasks and data sources of multi-sensor fusion for perception in complex traffic environments. We then propose a more reasonable division rule, which divides multi-sensor fusion methodologies into three categories including decision-level fusion, decision-feature-level fusion, and feature-level fusion. Furthermore, this chapter will give some recommendations on the forward research directions to address the problems that have been encountered in the field of multi-sensor fusion.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Multi-sensor Fusion for Perception in Complex Traffic Environments


    Contributors:
    Zhu, Yongdong (editor) / Cao, Yue (editor) / Hua, Wei (editor) / Xu, Lexi (editor) / Huang, Qian (author) / Zhu, Kainan (author) / Wu, Kan (author) / Hua, Wei (author) / Zhu, Yongdong (author)


    Publication date :

    2023-11-01


    Size :

    15 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





    Traffic Sign Perception in Road Environments

    De la Escalera, A. / Moreno, L. / Armingol, J. M. et al. | British Library Conference Proceedings | 1994


    Radar-Camera Fusion Method for All-Weather Traffic Perception in Complex Scenes

    Dai, Zhe / Li, Kong / Wang, Xuan et al. | ASCE | 2024


    Data Fusion in Multi Sensor Platforms for Widearea Perception

    Polychronopoulos, A. / Floudas, N. / Amditis, A. et al. | British Library Conference Proceedings | 2006


    Traffic data fusion method and system based on multi-source perception

    LU HAOLEI | European Patent Office | 2025

    Free access