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Goal-Aware RSS for Complex Scenarios via Program Logic

Authors :
Hasuo, Ichiro
Eberhart, Clovis
Haydon, James
Dubut, Jérémy
Bohrer, Rose
Kobayashi, Tsutomu
Pruekprasert, Sasinee
Zhang, Xiao-Yi
Pallas, Erik André
Yamada, Akihisa
Suenaga, Kohei
Ishikawa, Fuyuki
Kamijo, Kenji
Shinya, Yoshiyuki
Suetomi, Takamasa
Publication Year :
2022

Abstract

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.<br />Comment: 33 pages, 18 figures, 1 table. Accepted for publication in IEEE Transactions on Intelligent Vehicles

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2207.02387
Document Type :
Working Paper
Full Text :
https://doi.org/10.1109/TIV.2022.3169762