TY - GEN
T1 - Interaction-Aware Vehicle Motion Planning with Collision Avoidance Constraints in Highway Traffic
AU - Kim, Dongryul
AU - Kim, Hyeonjeong
AU - Han, Kyoungseok
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This paper proposes collision-free optimal trajectory planning for autonomous vehicles in highway traffic, where vehicles need to deal with the interaction among each other. To address this issue, a novel optimal control framework is suggested, which couples the trajectory of surrounding vehicles with collision avoidance constraints. Additionally, we describe a trajectory optimization technique under state constraints, utilizing a planner based on Pontryagin's Minimum Principle, capable of numerically solving collision avoidance scenarios with surrounding vehicles. Simulation results demonstrate the effectiveness of the proposed approach regarding interaction-based motion planning for different scenarios.
AB - This paper proposes collision-free optimal trajectory planning for autonomous vehicles in highway traffic, where vehicles need to deal with the interaction among each other. To address this issue, a novel optimal control framework is suggested, which couples the trajectory of surrounding vehicles with collision avoidance constraints. Additionally, we describe a trajectory optimization technique under state constraints, utilizing a planner based on Pontryagin's Minimum Principle, capable of numerically solving collision avoidance scenarios with surrounding vehicles. Simulation results demonstrate the effectiveness of the proposed approach regarding interaction-based motion planning for different scenarios.
UR - http://www.scopus.com/inward/record.url?scp=85199789810&partnerID=8YFLogxK
U2 - 10.1109/IV55156.2024.10588660
DO - 10.1109/IV55156.2024.10588660
M3 - Conference contribution
AN - SCOPUS:85199789810
T3 - IEEE Intelligent Vehicles Symposium, Proceedings
SP - 682
EP - 687
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 -