TY - GEN
T1 - Goal-Aware RSS for Complex Scenarios via Program Logic
AU - Hasuo, Ichiro
AU - Eberhart, Clovis
AU - Haydon, James
AU - Dubut, Jeremy
AU - Bohrer, Rose
AU - Kobayashi, Tsutomu
AU - Pruekprasert, Sasinee
AU - Zhang, Xiao Yi
AU - Pallas, Erik Andre
AU - Yamada, Akihisa
AU - Suenaga, Kohei
AU - Ishikawa, Fuyuki
AU - Kamijo, Kenji
AU - Shinya, Yoshiyuki
AU - Suetomi, Takamasa
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - 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.
AB - 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.
KW - Floyd-Hoare logic
KW - automated driving
KW - differential dynamics
KW - program logic
KW - responsibility-sensitive safety (RSS)
KW - rule-based safety
KW - safety
KW - simplex architecture
UR - https://www.scopus.com/pages/publications/85199775520
U2 - 10.1109/IV55156.2024.10588754
DO - 10.1109/IV55156.2024.10588754
M3 - Conference contribution
AN - SCOPUS:85199775520
T3 - IEEE Intelligent Vehicles Symposium, Proceedings
SP - 3154
BT - 35th IEEE Intelligent Vehicles Symposium, IV 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 35th IEEE Intelligent Vehicles Symposium, IV 2024
Y2 - 2 June 2024 through 5 June 2024
ER -