Abstract This chapter describes detection and tracking of moving objects (DATMO) for purposes of autonomous driving. DATMO provides awareness of road scene participants, which is important in order to make safe driving decisions and abide by the rules of the road. Three main classes of DATMO approaches are identified and discussed. First is the traditional approach, which includes data segmentation, data association, and filtering using primarily Kalman filters. Recent work within this class of approaches has focused on pattern recognition techniques. The second class is the model-based approach, which performs inference directly on the sensor data without segmentation and association steps. This approach utilizes geometric object models and relies on non-parametric filters for inference. Finally, the third class is the grid-based approach, which starts by constructing a low level grid representation of the dynamic environment. The resulting representation is immediately useful for determining free navigable space within the dynamic environment. Grid construction can be followed by segmentation, association, and filtering steps to provide object level representation of the scene. The chapter introduces main concepts, reviews relevant sensor technologies, and provides extensive references to recent work in the field. The chapter also provides a taxonomy of DATMO applications based on road scene environment and outlines requirements for each application.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Awareness of Road Scene Participants for Autonomous Driving



    Erschienen in:

    Erscheinungsdatum :

    2012-01-01


    Format / Umfang :

    50 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Active Vision for Road Scene Awareness

    Dankers, A. / Zelinsky, A. / Barnes, N. et al. | British Library Conference Proceedings | 2005



    Active vision for road scene awareness

    Dankers, A. / Barnes, N. / Zelinsky, A. | IEEE | 2005


    Auditory Scene Understanding for Autonomous Driving

    Furletov, Yury / Willert, Volker / Adamy, Jurgen | IEEE | 2021


    Scene recognition in autonomous driving environment

    YLENHAMMAR MAGNUS / SVEINKRONA HU KAN | Europäisches Patentamt | 2022

    Freier Zugriff