One of the most critical, unsolved challenges for the introduction of automated vehicles is safety verification of planned trajectories. The most promising concepts approaching this topic are worst-case occupancy predictions based on reachable set analysis and the definition of Responsibility-Sensitive Safety (RSS) that formalizes dangerous situations and proper responses. Worst-case predictions result in over-conservative behavior while the RSS approach makes strong assumptions w.r.t. lateral and longitudinal behavior. Our contribution is a first step in bringing both worlds together, to benefit from respective advantages. First, we define RSS-motivated safe-states for merge and crossing scenarios, that ensure absolute safety towards leading vehicles, appropriate time gaps towards following vehicles in merging lanes and minimum clearance time of conflict zones with crossing lanes. We then show how to integrate these safety constraints in a trajectory and behavior planner using reachable sets and finally illustrate its usefulness in various simulative evaluations.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Towards Responsibility-Sensitive Safety of Automated Vehicles with Reachable Set Analysis


    Contributors:


    Publication date :

    2019-11-01


    Size :

    4064674 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Using Reachable Sets for Trajectory Planning of Automated Vehicles

    Manzinger, Stefanie / Pek, Christian / Althoff, Matthias | IEEE | 2021


    COMPUTING SPECIFICATION-COMPLIANT REACHABLE SETS FOR MOTION PLANNING OF AUTOMATED VEHICLES

    Liu, Edmond Irani / Althoff, Matthias | British Library Conference Proceedings | 2021



    PURSS: Towards Perceptual Uncertainty Aware Responsibility Sensitive Safety with ML

    Salay, Rick / Czarnecki, Krzysztof / Elli, Maria et al. | TIBKAT | 2020

    Free access

    Towards Standardization of AV Safety: C++ Library for Responsibility Sensitive Safety

    Gassmann, Bernd / Oboril, Fabian / Buerkle, Cornelius et al. | IEEE | 2019