In this paper, we present an innovative indoor positioning system designed for computing the position and orientation of multiple model-scale vehicles. Our system, equipped with four cameras, utilizes a novel image-stitching technique to stitch the images from these cameras into a single output image. We explore diverse methodologies for detecting and estimating the position and orientation of the model-scale vehicles, demonstrating robust detection within the plane. Through rigorous testing with vehicles of varying dimensions, our system achieves an accuracy ranging from approximately 0.5cm to 3cm on both axes. This establishes the system’s potential applicability in scenarios involving model-scale autonomous vehicles, where precise knowledge of each vehicle’s position is critical.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Vision-Based Indoor Positioning System for Connected Vehicles in Small-scale Testbed Environments


    Beteiligte:


    Erscheinungsdatum :

    02.06.2024


    Format / Umfang :

    1780649 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Connected Autonomous Vehicles (CAV) Testbed at IIT Hyderabad

    Pawar, Digvijay S. / Singh, Ankit / Pachamuthu, Rajalakshmi | Springer Verlag | 2023


    V2X-Based Cooperative Positioning for Connected Vehicles in GNSS- Denied Environments

    Zheng, Shaowu / Xie, Chong / Huang, Ruyi et al. | IEEE | 2023


    Multi-vehicle rover testbed using a new indoor positioning sensor

    Sae-Hau, Chris, 1980- | DSpace@MIT | 2003

    Freier Zugriff

    Indoor positioning of autonomous vehicles

    BALLARD BRIAN D / PUCHALSKI MAREK / LOWDER DOUGLAS H et al. | Europäisches Patentamt | 2023

    Freier Zugriff

    Integrated Positioning for Connected Vehicles

    Mahmoud, Anas / Noureldin, Aboelmagd / Hassanein, Hossam S. | IEEE | 2020