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Trajectory Planning and Control of Car-Like Robot in Dynamic Environment

  • Kaihong Ouyang
  • , Tao Wang
  • , Yunjiang Lou*
  • *Corresponding author for this work
  • Harbin Institute of Technology

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

Abstract

Ackerman steering mechanism is widely used in car-like robots and autonomous vehicles due to its simplicity, stability, and strong adaptability. The trajectory planning and control of such robots are critical for advancements in autonomous driving and related applications. This study analyzes an enhanced time elastic band (TEB) trajectory planning algorithm based on the Ackermann steering kinematics model, formulating the trajectory planning as a multi-objective optimization problem. Simulation results demonstrate the feasibility and effectiveness of the proposed approach in multi-vehicle dynamic parking scenarios.

Original languageEnglish
Title of host publicationProceedings of 2025 IEEE 26th China Conference on System Simulation Technology and its Applications, CCSSTA 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages91-96
Number of pages6
ISBN (Electronic)9798331544041
DOIs
StatePublished - 2025
Externally publishedYes
Event26th IEEE China Conference on System Simulation Technology and its Applications, CCSSTA 2025 - Shenzhen, China
Duration: 11 Jul 202513 Jul 2025

Publication series

NameProceedings of 2025 IEEE 26th China Conference on System Simulation Technology and its Applications, CCSSTA 2025

Conference

Conference26th IEEE China Conference on System Simulation Technology and its Applications, CCSSTA 2025
Country/TerritoryChina
CityShenzhen
Period11/07/2513/07/25

Keywords

  • Ackerman steering
  • dynamic parking scenarios
  • trajectory planning

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