Predictive Lane Detection by Interaction with Digital Road Map

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概要

• 論文の詳細を見る

• This paper presents a robust hybrid approach to Predictive Lane Detection - PLD, which utilizes information from digital map to improve efficiency and accuracy to vision-based lane detector. Traditional approaches are mostly designed for well maintained and simple road conditions like motorway or interstate road with clear lane markers, to solve out the estimation problems of coming road shape as well as vehicle's position and ego-state, which however becomes ambiguous or unavailable in the complicated road environment and under difficult weather or illumination conditions. In this paper, the proposed approach refers to vehicle localization on digital map for road geometry estimation, which gives strong cues for vision-based detector to limit the search region of road candidates and suppress noise. In addition, other information from digital map like lane marker painting color and categories is utilized in the high level of data fusion on road geometry estimation. Real and synthesized road experiment results verified the effectiveness and efficiency of our approach.

著者

• Hu Zhencheng

  Graduate School Of Science And Technology Kumamoto University

• Chapuis Roland

  LASMEA Laboratory, Blaise Pascal University

• Wang Chenhao

  Graduate School of Science and Technology, Kumamoto University

関連論文

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• Pose Invariant Face Recognition Based on Hybrid Dominant Frequency Features
• EXTRACTION OF UNMARK ROADS USED AERIAL IMAGES TOGETHER NUMERIC ROAD MAP(INTERNATIONAL Workshop on Advanced Image Technology 2008)
• VEHICLE DETECTION USING PROBABILITY FUSION MAPS GENERATED BY A MULTI-CAMERA SYSTEM(International Workshop on Advanced Image Technology 2007)
• A Reliable and Robust Lane Detection System Based on the Parallel Use of Three Algorithms for Driving Safety Assistance(Intelligent Transport Systems,Machine Vision Applications)
• Predictive Lane Detection by Interaction with Digital Road Map
• Predictive Lane Detection by Interaction with Digital Road Map

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