A simulation-based framework for functional testing of automated driving controllers - Archive ouverte HAL Access content directly
Conference Papers Year :

A simulation-based framework for functional testing of automated driving controllers

(1) , (2, 1) , (2, 1)
1
2

Abstract

Motion planning is a major component of any automated driving system. The safety assessment of such components requires a formal characterization of the perception and control mechanisms. This requires dedicated tools and models for the environment, sensors and vehicles that are highly representative of the real world. Simulation is a method to virtually investigate the behavior of systems under study. It has a key role to play in demonstrating the safety of autonomous vehicles. In this context, we consider a control module as a black-box and try to determine a reference which represents the 'right decision', if it exists. An optimization-based reference model is created for the control function. This model allows each scene in the environment to be mapped to the desired decision regardless of the black-box. The black-box and the reference model are run on several critical scenarios. In output, an assessment of decision making is performed along with systematic criticality characterization of targeted scenarios.
Fichier principal
Vignette du fichier
a_simulation_based_framework_for_functional_testing_of_automated_driving_controllers.pdf (3.02 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02862369 , version 1 (22-06-2020)

Identifiers

  • HAL Id : hal-02862369 , version 1

Cite

Adel Djoudi, Loic Coquelin, Rémi Regnier. A simulation-based framework for functional testing of automated driving controllers. The 23rd IEEE International Conference on Intelligent Transportation Systems, Sep 2020, Virtual Conference, Greece. ⟨hal-02862369⟩
104 View
147 Download

Share

Gmail Facebook Twitter LinkedIn More