This paper presents algorithms and techniques for single-sensor tracking and multi-sensor fusion of infrared and radar data. The results show that fusing radar data with infrared data considerably increases detection range, reliability and accuracy of the object tracking. This is mandatory for further development of driver assistance systems. Using multiple model filtering for sensor fusion applications helps to capture the dynamics of maneuvering objects while still achieving smooth object tracking for not maneuvering objects. This is important when safety and comfort systems have to make use of the same sensor information. Comfort systems generally require smoothly filtered data whereas for safety systems it is crucial to capture maneuvers of other road users as fast as possible. Multiple model filtering and probabilistic data association techniques are presented and all presented algorithms are tested in real-time on standard PC systems.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Multi-target multi-object tracking, sensor fusion of radar and infrared


    Beteiligte:
    Mobus, R. (Autor:in) / Kolbe, U. (Autor:in)


    Erscheinungsdatum :

    01.01.2004


    Format / Umfang :

    694593 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    15.10 Multi-Target Multi-Object Tracking, Sensor Fusion of Radar and Infrared

    Mobus, R. / Kolbe, U. / IEEE | British Library Conference Proceedings | 2004


    Multi-target multi-object radar tracking

    Mobus, R. / Joos, A. / Kolbe, U. | IEEE | 2003


    Multi-scan sensor fusion for object tracking

    JIA BIN / WANG XIAOHUI | Europäisches Patentamt | 2024

    Freier Zugriff

    3D Multi-Object Tracking Based on Radar-Camera Fusion

    Lin, Zihao / Hu, Jianming | IEEE | 2022


    Multi-Scan Sensor Fusion for Object Tracking

    JIA BIN / WANG XIAOHUI | Europäisches Patentamt | 2023

    Freier Zugriff