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Road markings have always been vital for driver safety, but with the rise of intelligent and autonomous vehicles, Advanced Driver Assistance Systems (ADAS) are taking on the task of perceiving and interpreting these markings. Road markings can be irregular and vary in color from one country to another, making them even more difficult to detect in adverse weather conditions such as rain or fog. To meet these challenges, the detection of road markings was evaluated in adverse weather conditions in an indoor fog & rain platform. The night performance of a car equipped with a camera using a road marking detection algorithm was evaluated on several road markings, with different headlights illumination conditions, and within several fog and rain conditions. A luminancemeter camera was also used to measure contrast level on the road markings and surrounding pavement surface.
The study showed a link but not a direct correlation between contrast and detection: when contrast is below a given threshold, the marking is never detected, when contrast is above another threshold, the marking is always detected. Moreover, between these two thresholds values, nothing can be concluded. Weather conditions had a significant impact, with heavy rain causing no detections and dense fog allowing only structured markings to be detected when headlights were on low or high beam. The impact of markings and headlight illumination mode was particularly significant in intermediate weather conditions.
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