Interaction-Aware Vehicle Motion Planning with Collision Avoidance Constraints in Highway Traffic
Kim, Dongryul, Kim, Hyeonjeong, Han, Kyoungseok
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Apr-2-2024
- Country:
- Asia > South Korea > Daegu > Daegu (0.04)
- Genre:
- Research Report > New Finding (0.34)
- Industry:
- Transportation > Ground > Road (1.00)
- Technology: