2024
DOI: 10.1109/access.2024.3354975
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A Robust Lane Detection Algorithm Adaptable to Challenging Weather Conditions

I-Chen Sang,
William R. Norris

Abstract: Driver assistance systems and autonomous vehicle navigation have become important topics in vehicular technology. Among all of the functions, lane detection is one of the most important. A variety of approaches have been proposed in this field. While learning-based methods achieve impressive accuracy in detecting complex lane markings under clear daylight conditions, adapting these models to diverse weather conditions remains a challenge. On the other hand, geometric-based approaches require parameter tuning f… Show more

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