This paper describes a multimodal vision sensor that integrates three types of cameras, including a stereo camera, a polarization camera and a panoramic camera. Each sensor provides a specific dimension of information: the stereo camera measures depth per pixel, the polarization obtains the degree of polarization, and the panoramic camera captures a 360° landscape. Data fusion and advanced environment perception could be built upon the combination of sensors. Designed especially for autonomous driving, this vision sensor is shipped with a robust semantic segmentation network. In addition, we demonstrate how cross-modal enhancement could be achieved by registering the color image and the polarization image. An example of water hazard detection is given. To prove the multimodal vision sensor’s compatibility with different devices, a brief runtime performance analysis is carried out.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A multimodal vision sensor for autonomous driving


    Beteiligte:
    Sun, Dongming (Autor:in) / Huang, Xiao (Autor:in) / Yang, Kailun (Autor:in)

    Kongress:

    Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies III ; 2019 ; Strasbourg,France


    Erschienen in:

    Proc. SPIE ; 11166


    Erscheinungsdatum :

    2019-10-07





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Multimodal end-to-end autonomous driving

    Xiao, Yi / Codevilla Moraes, Felipe / Gurram, Akhil et al. | BASE | 2022

    Freier Zugriff

    Multimodal End-to-End Autonomous Driving

    Xiao, Yi / Codevilla, Felipe / Gurram, Akhil et al. | IEEE | 2022


    Computer Vision for Autonomous Driving

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


    MULTIMODAL MOTION PLANNING FRAMEWORK FOR AUTONOMOUS DRIVING VEHICLES

    ZHANG YAJIA / LI DONG / ZHANG LIANGLIANG et al. | Europäisches Patentamt | 2022

    Freier Zugriff

    Collaborative Autonomous Driving: Vision and Challenges

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