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为了很好的减少夜间开车所造成的交通事故,给能见度比较差的环境下运行的车辆提供自动安全体系,设计了以远红外传感技术为基础的夜间汽车驾驶辅助体系。该技术采用远红外传感技术,获取起初信息,同时运用灰度统计方法取得感兴趣的领域;在建立多尺度概率模型的前提下,采用多帧校验系统处理方法对以上的设计进行检测和查漏。实验得出,该方案的概率模板在配合度上有了很大的改进,并且适合在市区和郊区两种环境下运用,在郊区环境下的检测率高达94%,在市区环境下的检测率是高达90%,因此该设计方案拥有很好的可行性。
In order to reduce traffic accidents caused by driving at night and provide automatic safety system for vehicles operating in relatively poor visibility environment, a night driving assistance system based on far-infrared sensing technology is designed. The technology uses far infrared sensing technology to obtain the initial information, at the same time the use of gray-scale statistical methods to obtain the area of interest; in the establishment of multi-scale probability model under the premise of using multi-frame verification system processing method to detect the above design and Leak detection. Experiments show that the probability model in this scheme has been greatly improved with the degree of cooperation and is suitable for use in both urban and suburban environments. The detection rate in suburban environments is as high as 94%. In the urban environment The detection rate is as high as 90%, so this design scheme has very good feasibility.