Jiongyao Ye
ABSTRACT
Low visibility is more likely to cause accidents on the highway. An accurate visibility measurement system can greatly reduce these accidents and improve driving safety. However, the existing visibility measurement systems are very expensive and cannot send the visibility information to drivers in real time. For these reasons, we propose a novel real-time highway visibility measurement system based on dark channel prior in this paper. This proposed system is running on the on-board camera, so that the cost of the measurement system can be very low, meanwhile, drivers can achieve the visibility information in real time. Firstly, the transmission, which is obtained through dark channel prior, is used to judge whether the weather is in low visibility condition or not. Secondly, the measurement bandwidth in the transmission image is determined by region growing algorithm, and the measurement line in this bandwidth is found according to the gradient variation of transmission. Thirdly, an improved real time automatic calibration method is proposed according to the highway lane line in the transmission image, and the visibility distance can be estimated finally. Experimental results show the effectiveness of proposed highway visibility measurement system, which can estimate the real-time highway visibility distance in the low visibility weather.
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Index Terms
- A Novel Real-time Highway Visibility Measurement System Based on Dark Channel Prior
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