模拟雾环境下RGBY色度识别偏差的研究

摘要

Heavy fog has been one of the greatest problems in the transportation system. Visibility drops when fog occurs, causing serious traffic jams, flight delays and highway closures. Fog brings risks and hidden troubles to the traffic safety. In this paper, a simulated fog environment is established to study the effect of different background lighting and various fog density on RGBY chromaticity recognition. Taking the standard color cards as target and collecting color coordinates by experimental equipment, the change of color difference was analyzed. The experimental results can provide a theoretical reference for the development of traffic system.%大雾直接导致能见度下降,造成严重的交通堵塞、航班延误以及高速公路封闭,给交通安全带来隐患.本文搭建了一个模拟雾环境,来研究不同照明光源的背景中,不同雾浓度对RGBY色度识别的影响.以标准色卡为观察目标,用仪器法测量色坐标,进一步分析色差的变化.实验结果可为交通系统发展提供一定理论支持和参考.