Maps play a key role in rapidly developing area of autonomous driving. We survey the literature for different map representations and find that while the world is three-dimensional, it is common to rely on 2D map representations in order to meet real-time constraints. We believe that high levels of situation awareness require a 3D representation as well as the inclusion of semantic information. We demonstrate that our recently presented hierarchical 3D grid mapping framework UFOMap meets the real-time constraints. Furthermore, we show how it can be used to efficiently support more complex functions such as calculating the occluded parts of space and accumulating the output from a semantic segmentation network.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Semantic 3D Grid Maps for Autonomous Driving


    Beteiligte:
    Khoche, Ajinkya (Autor:in) / Wozniak, Maciej K (Autor:in) / Duberg, Daniel (Autor:in) / Jensfelt, Patric (Autor:in)


    Erscheinungsdatum :

    08.10.2022


    Format / Umfang :

    2747240 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Semantic Occupancy Grid Management in ADAS/Autonomous Driving

    NAGORI SOYEB NOORMOHAMMED / PODDAR DEEPAK / GARUD HRUSHIKESH TUKARAM | Europäisches Patentamt | 2023

    Freier Zugriff

    Forecasting Semantic Bird-Eye-View Maps for Autonomous Driving

    Gao, Shuang / Wang, Qiang / Navarro-Alarcon, David et al. | IEEE | 2024


    Semantic occupancy grid management in ADAS/autonomous driving

    NAGORI SOYEB NOORMOHAMMED / PODDAR DEEPAK / GARUD HRUSHIKESH TUKARAM | Europäisches Patentamt | 2024

    Freier Zugriff

    SEMANTIC GRID-BASED ROAD MODEL ESTIMATION FOR AUTONOMOUS DRIVING

    Thomas, Julian / Tatsch, Julian / Van Ekeren, Wim et al. | British Library Conference Proceedings | 2019


    Semantic Grid-Based Road Model Estimation for Autonomous Driving

    Thomas, Julian / Tatsch, Julian / van Ekeren, Wim et al. | IEEE | 2019