TY - GEN
T1 - Computing specification-compliant reachable sets for motion planning of automated vehicles
AU - Liu, Edmond Irani
AU - Althoff, Matthias
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/7/11
Y1 - 2021/7/11
N2 - To safely and effectively participate in road traffic, automated vehicles should explicitly consider compliance with traffic rules and high-level specifications. We propose a method that can incorporate traffic and handcrafted rules expressed in time-labeled propositional logic into our reach ability analysis, which computes the over-approximative set of states reachable by vehicles. These reachable sets serve as low-level trajectory planning constraints to expedite the search for specification-compliant trajectories. Depending on the adopted specifications, related semantic labels are generated from predicates considering positions, velocities, accelerations, and general traffic situations. We exhibit the applicability of the proposed method with scenarios from the CommonRoad benchmark suite.
AB - To safely and effectively participate in road traffic, automated vehicles should explicitly consider compliance with traffic rules and high-level specifications. We propose a method that can incorporate traffic and handcrafted rules expressed in time-labeled propositional logic into our reach ability analysis, which computes the over-approximative set of states reachable by vehicles. These reachable sets serve as low-level trajectory planning constraints to expedite the search for specification-compliant trajectories. Depending on the adopted specifications, related semantic labels are generated from predicates considering positions, velocities, accelerations, and general traffic situations. We exhibit the applicability of the proposed method with scenarios from the CommonRoad benchmark suite.
UR - http://www.scopus.com/inward/record.url?scp=85118902375&partnerID=8YFLogxK
U2 - 10.1109/IV48863.2021.9575739
DO - 10.1109/IV48863.2021.9575739
M3 - Conference contribution
AN - SCOPUS:85118902375
T3 - IEEE Intelligent Vehicles Symposium, Proceedings
SP - 1037
EP - 1044
BT - 32nd IEEE Intelligent Vehicles Symposium, IV 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 32nd IEEE Intelligent Vehicles Symposium, IV 2021
Y2 - 11 July 2021 through 17 July 2021
ER -