Interaction-Aware Vehicle Motion Planning with Collision Avoidance Constraints in Highway Traffic

Dongryul Kim, Hyeonjeong Kim, Kyoungseok Han

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication35th IEEE Intelligent Vehicles Symposium, IV 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages682-687
Number of pages6
ISBN (Electronic)9798350348811
DOIs
StatePublished - 2024
Event35th IEEE Intelligent Vehicles Symposium, IV 2024 - Jeju Island, Korea, Republic of
Duration: 2 Jun 20245 Jun 2024

Publication series

NameIEEE Intelligent Vehicles Symposium, Proceedings
ISSN (Print)1931-0587
ISSN (Electronic)2642-7214

Conference

Conference35th IEEE Intelligent Vehicles Symposium, IV 2024
Country/TerritoryKorea, Republic of
CityJeju Island
Period2/06/245/06/24

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