Zusammenfassung Automated driving is a key technology for the future of transportation. There are several motivations to develop automated vehicles. First and foremost, it promises to reduce the number of traffic accidents. Figure 1 shows the accidents recorded by the German police over the past years ([1]) ranging back to 1960.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Core components of automated driving – algorithms for situation analysis, decision-making, and trajectory planning


    Contributors:


    Publication date :

    2019-11-28


    Size :

    21 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    German




    Core components of automated driving - algorithms for situation analysis, decision-making and trajectory planning

    Lienke, Christian / Schmidt, Manuel / Wissing, Christian et al. | TIBKAT | 2020



    Learning from Demonstration: Situation-Adaptive Lane Change Trajectory Planning for Automated Highway Driving

    Liu, Yulong / Sun, Liting / He, Xiangkun et al. | British Library Conference Proceedings | 2020


    Trajectory planning for high dynamic automated driving

    Keller,T. / Wimmershoff,M. / Hardy,J. et al. | Automotive engineering | 2014


    Model Predictive Trajectory Planning for Automated Driving

    Yi, Boliang / Bender, Philipp / Bonarens, Frank et al. | IEEE | 2019