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Goal-Aware RSS for Complex Scenarios via Program Logic

  • Ichiro Hasuo
  • , Clovis Eberhart
  • , James Haydon
  • , Jeremy Dubut
  • , Rose Bohrer
  • , Tsutomu Kobayashi
  • , Sasinee Pruekprasert
  • , Xiao Yi Zhang
  • , Erik Andre Pallas
  • , Akihisa Yamada
  • , Kohei Suenaga
  • , Fuyuki Ishikawa
  • , Kenji Kamijo
  • , Yoshiyuki Shinya
  • , Takamasa Suetomi
  • National Institute of Informatics (NII)
  • The Graduate University for Advanced Studies
  • CNRS UMI3527
  • Department of Computer Science
  • Inst. Software & Systems Engineering
  • University of Augsburg
  • Aist
  • National Institute of Advanced Industrial Science and Technology
  • Graduate School of Informatics
  • Mazda Motor Corporation

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Résumé

We introduce a goal-aware extension of responsibility-sensitive safety (RSS), a recent methodology for rule-based safety guarantee for automated driving systems (ADS). Making RSS rules guarantee goal achievement - in addition to collision avoidance as in the original RSS - requires complex planning over long sequences of manoeuvres. To deal with the complexity, we introduce a compositional reasoning framework based on program logic, in which one can systematically develop RSS rules for smaller subscenarios and combine them to obtain RSS rules for bigger scenarios. As the basis of the framework, we introduce a program logic dFHL that accommodates continuous dynamics and safety conditions. Our framework presents a dFHL-based workflow for deriving goal-aware RSS rules; we discuss its software support, too. We conducted experimental evaluation using RSS rules in a safety architecture. Its results show that goal-aware RSS is indeed effective in realising both collision avoidance and goal achievement.

langue originaleAnglais
titre35th IEEE Intelligent Vehicles Symposium, IV 2024
EditeurInstitute of Electrical and Electronics Engineers Inc.
Pages3154
Nombre de pages1
ISBN (Electronique)9798350348811
Les DOIs
étatPublié - 1 janv. 2024
Modification externeOui
Evénement35th IEEE Intelligent Vehicles Symposium, IV 2024 - Jeju Island, Corée du Sud
Durée: 2 juin 2024 → 5 juin 2024

Série de publications

NomIEEE Intelligent Vehicles Symposium, Proceedings
ISSN (imprimé)1931-0587
ISSN (Electronique)2642-7214

Une conférence

Une conférence35th IEEE Intelligent Vehicles Symposium, IV 2024
Pays/TerritoireCorée du Sud
La villeJeju Island
période2/06/24 → 5/06/24

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