A Spline-Based Path Planning for Lane Keeping in Autonomous Vehicles

Hyeong Keun Hong, Jin Sun Lee, Eun Ho Kim, Yeong Kwang Choi, Young Hun Seo, Jae Wook Jeon

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

Abstract

This paper presents a spline-based path planning approach for lane keeping in autonomous vehicles. The method utilizes cubic spline interpolation to generate smooth and continuous paths from target points derived from lane centerline information. By applying spline curves, the vehicle can follow the lane with high precision and stability. The approach is implemented using ROS 2, providing a robust and efficient platform for integration into autonomous driving systems. Simulation results demonstrate the effectiveness of the proposed method in lane keeping tasks, highlighting its potential for improving path planning accuracy in autonomous vehicles.

Original languageEnglish
Title of host publication2025 11th International Conference on Mechatronics and Robotics Engineering, ICMRE 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages55-59
Number of pages5
ISBN (Electronic)9798331509293
DOIs
StatePublished - 2025
Externally publishedYes
Event11th International Conference on Mechatronics and Robotics Engineering, ICMRE 2025 - Lille, France
Duration: 24 Feb 202526 Feb 2025

Publication series

Name2025 11th International Conference on Mechatronics and Robotics Engineering, ICMRE 2025

Conference

Conference11th International Conference on Mechatronics and Robotics Engineering, ICMRE 2025
Country/TerritoryFrance
CityLille
Period24/02/2526/02/25

Keywords

  • Spline-based Path Planning

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