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Utilization of Optical Road Surface Condition Detection around Intersections

机译:交叉路口光学路面状况检测的利用

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This paper presents experimental results regarding road condition monitoring by machine vision techniques. The system will be further developed by VTT in the European INTERSAFE-2 project, focused on applications at road intersections. Knowing the presence of adverse conditions such as icy or wet roads, important effects can be obtained for intersection safety by means of more effective driver assistance functions. A very good reliability up to 93% has been found for the detection of icy roads, while lower values around 60% have been measured in the case of wet surfaces, due to a higher sensitivity to environmental conditions, especially outdoor light. Future steps will include an advanced classification algorithm and the implementation of active lighting. Integration of the vision equipment into a cooperative system for intersection safety is being investigated.
机译:本文介绍了有关通过机器视觉技术进行道路状况监控的实验结果。 VTT将在欧洲INTERSAFE-2项目中进一步开发该系统,重点是道路交叉口的应用。知道存在诸如结冰或潮湿道路等不利条件,可以通过更有效的驾驶员辅助功能获得重要的路口安全效果。对于结冰的道路,已经发现了高达93%的非常好的可靠性,而在潮湿的路面上,由于对环境条件(特别是室外光)的敏感性更高,因此测得的可靠性较低,约为60%。未来的步骤将包括高级分类算法和主动照明的实现。正在研究将视觉设备集成到用于十字路口安全的协作系统中。

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