Robust Lane Tracking for Harsh Driving Environments

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

1 Scopus citations

Abstract

Recently, the industry for autonomous driving is expanding rapidly. Therefore for a safe system, it require high lane detection performance. In this paper, we propose robust lane detection and a tracking algorithm even though under harsh environments. High lane detection accuracy can make more safe Lane Keeping Assist System(LKAS).

Original languageEnglish
Title of host publication2023 International Conference on Electronics, Information, and Communication, ICEIC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350320213
DOIs
StatePublished - 2023
Event2023 International Conference on Electronics, Information, and Communication, ICEIC 2023 - Singapore, Singapore
Duration: 5 Feb 20238 Feb 2023

Publication series

Name2023 International Conference on Electronics, Information, and Communication, ICEIC 2023

Conference

Conference2023 International Conference on Electronics, Information, and Communication, ICEIC 2023
Country/TerritorySingapore
CitySingapore
Period5/02/238/02/23

Keywords

  • bilateral filter
  • Kalman filter
  • lane detection
  • Multi-scale Retinex (MSR)
  • noise reduction

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