Advanced driver assistance systems require accurate knowledge on the current and future states of all surrounding vehicles. Current approaches use the information on actual vehicle dynamics and a motion model, leading to short-time pre-dictions. In this work, we developed a framework to determine long-term predictions of the future vehicle trajectory for extra-urban traffic scenarios in dependence on the present situation. Scene analysis is used to yield the probability of occurrence on a set of maneuvers. Trajectory prediction is accomplished by an approach of Case-based reasoning. Based on the current observation, similar trajectories are retrieved from a database, resulting in long-term predictions for a given maneuver. The information of scene analysis is combined with these trajectory predictions to yield the final situation-adaptive long-term vehicle trajectory prediction. The performance of our method is verified with a comparison to conventional approaches in terms of error analysis over the prediction horizon.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Situation-adaptive Vehicle Trajectory Prediction


    Contributors:

    Conference:

    AmE 2013 - 4. GMM-Fachtagung ; 2013 ; Dortmund, Deutschland


    Published in:

    Publication date :

    2013-01-01


    Size :

    6 pages



    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Situation-adaptive Vehicle Trajectory Prediction

    Omerbegovic, Said / Firl, Jonas | Tema Archive | 2013


    Vehicle trajectory prediction for adaptive cruise control

    Yi, Sung Gu / Kang, Chang Mook / Lee, Seung-Hi et al. | IEEE | 2015


    Traffic density adaptive vehicle trajectory prediction method

    LIU QIANG / LI ZILONG / ZHU JINGLONG et al. | European Patent Office | 2024

    Free access

    Prediction method for reentry vehicle self-adaptive trajectory

    HU JUN / YANG MING / ZHANG ZHAO et al. | European Patent Office | 2015

    Free access

    ADAPTIVE VEHICLE LONGITUDINAL TRAJECTORY PREDICTION FOR AUTOMATED HIGHWAY DRIVING

    Guo, Chunshi / Sentouh, Chouki / Soualmi, Boussaad et al. | British Library Conference Proceedings | 2016