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Development of a Lane Identification and Assessment Framework for Maintenance Using AI Technology

2025-05-28

Abstract excerpt

This study proposes a vision-based framework to support autonomous vehicles (AVs) in maintaining stable lane-keeping by assessing the condition of lane markings. Unlike existing infrastructure standards focused on human visibility, this study addresses the need for criteria suited to sensor-based AV environments. Using real driving data from urban expressways in Seoul, a YOLOv5-based lane detection algorithm was d...

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Identifiers and source

Literature Corpus work
07c6c2c8-de75-5402-9932-241ac8ba917f
DOI
10.20944/preprints202505.2199.v1
Open publication

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Development of a Lane Identification and Assessment Framework for Maintenance Using AI TechnologyDOI 10.20944/preprints202505.2199.v1
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