The need for safety in Automated Driving (AD) is becoming increasingly critical with the accelerating deployment of this technology. Beyond functional safety, industry must guarantee the operational safety of automated vehicles. Towards that end, Mobileye introduced the Responsibility Sensitive Safety (RSS), a model-based approach to Safety [1]. In this paper we expand upon this work introducing the C++ Library for Responsibility Sensitive Safety, an open source executable that implements a subset of RSS. We provide architectural details to integrate the C++ Library for Responsibility Sensitive Safety with AD Software pipelines as safety module overseeing decision making of driving policies. We illustrate this application with an example integration with the Baidu Apollo AD stack and simulator, [2] and [3], that provides safety validation of the planning module. Furthermore, we show how the C++ Library for Responsibility Sensitive Safety can be used to explore the usefulness of the RSS model through parameter exploration and analysis on minimum safe longitudinal distance, ($d_{min}$), considering different weather conditions. We also compare these results with half-of-speed rule followed in some parts of the world. We expect that the C++ Library for Responsibility Sensitive Safety becomes a critical component of future tools for formal verification, testing and validation of AD safety and that it helps bootstrap the AD research efforts towards standardization of safety.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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




    Publication date :

    2019-06-01


    Size :

    1685512 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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

    Orzechowski, Piotr F. / Li, Kun / Lauer, Martin | IEEE | 2019


    VULNERABLE ROAD USER SAFETY TECHNOLOGIES BASED ON RESPONSIBILITY SENSITIVE SAFETY

    SHARMA BANJADE VESH RAJ / SIVANESAN KATHIRAVETPILLAI / ALVAREZ IGNACIO J et al. | European Patent Office | 2021

    Free access

    VULNERABLE ROAD USER SAFETY TECHNOLOGIES BASED ON RESPONSIBILITY SENSITIVE SAFETY

    SHARMA BANJADE VESH RAJ / SIVANESAN KATHIRAVETPILLAI / ALVAREZ IGNACIO J et al. | European Patent Office | 2022

    Free access

    VULNERABLE ROAD USER SAFETY TECHNOLOGIES BASED ON RESPONSIBILITY SENSITIVE SAFETY

    SHARMA BANJADE VESH RAJ / SIVANESAN KATHIRAVETPILLAI / ALVAREZ IGNACIO J et al. | European Patent Office | 2024

    Free access