Precise localization is a necessity for complex driving maneuvers of autonomous vehicles. This paper presents a high-definition-map aided self-positioning for autonomous driving. Sparse landmarks, including shuttle stops, speed limit signs, and guide signs, are recorded in the map. A 16-layer light detection and ranging device is used to detect the selected landmarks. Based on the distance and orientation information of the landmarks, the proposed method can be applied to estimate the vehicle’s heading and location. Simulation results show that the 67% of heading and location errors are below 2.2 degrees and 30 cm, respectively.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    MAP Aided Self-positioning Based on LIDAR Perception for Autonomous Vehicles


    Beteiligte:


    Erscheinungsdatum :

    01.07.2019


    Format / Umfang :

    257818 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    LiDAR Domain Adaptation for Perception of Autonomous Vehicles

    Huch, Hans Carl Sebastian | TIBKAT | 2025

    Freier Zugriff

    Processing of LiDAR for Traffic Scene Perception of Autonomous Vehicles

    Urmila., O / Megalingam, Rajesh Kannan | IEEE | 2020


    Modeling Perception in Autonomous Vehicles via 3D Convolutional Representations on LiDAR

    Iqbal, Hafsa / Campo, Damian / Marin-Plaza, Pablo et al. | IEEE | 2022


    LiDAR eyes for autonomous vehicles

    Thakker, T. / Pulikkaseril, C. / Lam, S. et al. | SPIE | 2019


    POSITIONING AUTONOMOUS VEHICLES

    NAVAS SANCHEZ BORJA / VIEDMA PONCE RAMON / MELERO CAZORLA DAVID | Europäisches Patentamt | 2022

    Freier Zugriff