Currently, many automated vehicle systems primarily perceive the environment from a single perspective and as a result are unable to leverage additional scene information from the viewpoint of other vehicles on the road using vehicleto-vehicle communication technologies. We study how increased data sharing can improve the perception capabilities of automated vehicles. Our methodology shares sensor measurements and objects detected by state-of-the-art deep learning networks between vehicles to increase the automated driving systems confidence of detecting objects using a 3D sensor fusion algorithm. This approach can benefit scenarios where an object may be occluded (fully or partially) or located too far away to classify accurately by a single vehicle alone.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Collaborative Perception for Automated Vehicles Leveraging Vehicle-to-Vehicle Communications


    Contributors:
    Yee, Ryan (author) / Chan, Ellick (author) / Cheng, Bin (author) / Bansal, Gaurav (author)


    Publication date :

    2018-06-01


    Size :

    4205904 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    COLLABORATIVE PERCEPTION FOR AUTOMATED VEHICLES LEVERAGING VEHICLE-TO-VEHICLE COMMUNICATIONS

    Yee, Ryan / Chan, Ellick / Cheng, Bin et al. | British Library Conference Proceedings | 2018


    Towards Collaborative Perception for Automated Vehicles in Heterogeneous Traffic

    Khan, Saifullah / Andert, Franz / Wojke, Nicolai et al. | TIBKAT | 2019


    Towards Collaborative Perception for Automated Vehicles in Heterogeneous Traffic

    Khan, Saifullah / Andert, Franz / Wojke, Nicolai et al. | Springer Verlag | 2018


    Cooperative Driving of Automated Vehicles with Inter-vehicle Communications

    Sakaguchi, T. / Uno, A. / Kato, S. et al. | British Library Conference Proceedings | 2000


    Cooperative driving of automated vehicles with inter-vehicle communications

    Sakaguchi, T. / Uno, A. / Kato, S. et al. | IEEE | 2000