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Slippery Road Detection by Using Different Methods of Polarised Light

机译：使用不同偏振光方法的湿滑道路检测

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Road friction measurement is an important issue for active safety systems on vehicles; hence knowledge of this key parameter can significantly improve the interventions on vehicle dynamics. This study compares two different on-board sensors for the classification of road conditions with polarised infrared light. Several tests are performed on a dedicated track, with focus on detection of dry or wet surfaces, and the presence of ice or snow. The work shows the capability of both sensors to provide a correct classification. In particular, results indicate how the monitored area, the presence of active illumination and the mounting position influence measurements and response times. It is concluded that both systems classify different road conditions in all cases. Performance of the Road eye system varied from 80 to 90 % whereas the camera based IcOR achieved 70-80 % accuracy level. Since these are being prototype sensors more development is needed before implemented into advanced safety applications.
机译：道路摩擦测量是车辆主动安全系统的重要问题。因此，对该关键参数的了解可以显着改善对车辆动力学的干预。这项研究比较了两种不同的车载传感器，用于通过偏振红外光对道路状况进行分类。在专用的轨道上进行了一些测试，重点是检测干燥或潮湿的表面以及冰或雪的存在。这项工作显示了两个传感器提供正确分类的能力。特别是，结果表明受监视区域，活动照明的存在和安装位置如何影响测量和响应时间。结论是，在所有情况下，两个系统都对不同的道路状况进行分类。公路眼系统的性能从80％到90％不等，而基于摄像头的IcOR达到了70-80％的准确度水平。由于这些都是原型传感器，因此在实现高级安全应用之前还需要进一步开发。

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