We present a method to detect starting, stopping and bending in intentions of pedestrians from a moving vehicle based on stereo-vision. The method focuses on urban scenarios where these pedestrian movements are common and may result in critical situations. Pedestrian intentions are determined by means of an image-based motion contour histogram of oriented gradient descriptor. It is based on silhouettes gathered from stereo data and does not require any compensation of appearance changes resulting from the ego-motion of a vehicle. Nevertheless, it covers small movements indicating a pedestrian's intention. A linear support vector machine with probabilistic estimates is used for classification. We evaluated our method on the publicly available Daimler Pedestrian Path Prediction Benchmark Dataset containing detections of a stateof-the-art pedestrian detector. We detect a pedestrian's stopping intention from 125 ms to 500 ms before standing still within an accuracy range of 80% to 100%. Bending in is detected from 320 ms to 570 ms after a first visible lateral body movement in the same accuracy range. The intention to cross the road from standing still (starting) is detected 250 ms after the first visible motion and, therefore, within the first step with an accuracy of 100%.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Stereo-Vision-Based Pedestrian's Intention Detection in a Moving Vehicle


    Beteiligte:
    Kohler, Sebastian (Autor:in) / Goldhammer, Michael (Autor:in) / Zindler, Klaus (Autor:in) / Doll, Konrad (Autor:in) / Dietmeyer, Klaus (Autor:in)


    Erscheinungsdatum :

    01.09.2015


    Format / Umfang :

    1296262 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Early detection of the Pedestrian's intention to cross the street

    Kohler, Sebastian / Goldhammer, Michael / Bauer, Sebastian et al. | IEEE | 2012


    Trajectory tracking and prediction of pedestrian's crossing intention using roadside LiDAR

    Zhao, Junxuan / Xu, Hao / Wu, Jianqing et al. | Wiley | 2019

    Freier Zugriff

    Trajectory tracking and prediction of pedestrian's crossing intention using roadside LiDAR

    Zhao, Junxuan / Xu, Hao / Wu, Jianqing et al. | IET | 2019

    Freier Zugriff

    METHOD OF CONTROLLING VEHICLE CONSIDERING ADJACENT PEDESTRIAN'S BEHAVIOR

    CHAN JAEGAL | Europäisches Patentamt | 2021

    Freier Zugriff

    Stereo vision based vehicle detection

    Kormann, Benjamin / Neve, Antje / Klinker, Gudrun et al. | Tema Archiv | 2010