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Articles

Lane detection in dense fog using a polarimetric dehazing method

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By Han Tian, Li Zhang, Kaichun Zhao, Zhongjun Yin
| osapublishing.org
Abstract Lane detection is crucial for driver assistance systems. However, road scenes are severely degraded in dense fog, which leads to the loss of robustness of many lane detection methods. For this problem, an end-to-end method combining polarimetric dehazing and lane detection is proposed in this paper. From images with dense fog captured by a vehicle-mounted monochrome polarization camera, the darkest and brightest images are synthesized.
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