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Machine detectability of road markings analysed with classical image processing techniques towards demand-oriented road operations for automated vehicles

Stefan Biermeier Dirk Kemper Tomasz E.Burghardt Alvaro Garcia-Hernandez

交通运输工程学报（英文版）2025，Vol.12Issue(3)：569-586,18.

交通运输工程学报（英文版）2025，Vol.12Issue(3)：569-586,18.DOI:10.1016/j.jtte.2024.11.003

Machine detectability of road markings analysed with classical image processing techniques towards demand-oriented road operations for automated vehicles

Stefan Biermeier ¹Dirk Kemper ¹Tomasz E.Burghardt ²Alvaro Garcia-Hernandez¹

作者信息

1. Lehrstuhl und Institut für Straßenwesen,RWTH Aachen University,Aachen 52074,Germany
2. M.Swarovski Gesellschaft m.b.H.,Wipark,14.Straße 11,Neufurth 3363,Austria
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摘要

关键词

Automated driving systems/Operational design domain/Physical infrastructure/Lane keeping system/Weather conditions/Multi-parameter approach

Key words

Automated driving systems/Operational design domain/Physical infrastructure/Lane keeping system/Weather conditions/Multi-parameter approach

引用本文复制引用

Stefan Biermeier,Dirk Kemper,Tomasz E.Burghardt,Alvaro Garcia-Hernandez..Machine detectability of road markings analysed with classical image processing techniques towards demand-oriented road operations for automated vehicles[J].交通运输工程学报（英文版）,2025,12(3):569-586,18.

基金项目

The authors acknowledge the German Federal Highway Research Institute(BASt)project FE 0.3.0590/2019/EGB,which funded part of the measurements in this study.Additionally,the authors express their gratitude to SWARCO for funding the test drives with the sensor-equipped vehicle. （BASt）

交通运输工程学报（英文版）

ISSN：2095-7564

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