The usage of a LIDAR-based obstacle detection system in agricultural environment, as developed in SOLCO project, has led to a novel detection strategy. The rural scenario can be rather complex in terms of background, type and size of the obstacles encountered. In the experimentation, a strategy was applied to several trials in rural scenarios, with the aim of finding and fine tuning an object filtering approach that can be later applied in runtime. This strategy could be transferred to passenger car applications to improve LIDAR system performances.


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    Titel :

    Automotive LIDAR-Based Strategies for Obstacle Detection Application in Rural and Secondary Roads


    Weitere Titelangaben:

    Lect.Notes Mobility


    Beteiligte:
    Schulze, Tim (Herausgeber:in) / Müller, Beate (Herausgeber:in) / Meyer, Gereon (Herausgeber:in) / Carlino, Andrea (Autor:in) / Altomare, Luciano (Autor:in) / Darin, Marco (Autor:in) / Visintainer, Filippo (Autor:in) / Marchetto, Alessandro (Autor:in)


    Erscheinungsdatum :

    2015-06-30


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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