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Development of Surrogate Grass for the Evaluation of Vehicle Road Departure Mitigation Systems

机译:车辆道路出发减缓系统评估的替代草的发展

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Vehicle road departure mitigation system (RDMS), as new active safety technology, has been introduced into the market in recent years. This system can detect roadside objects and road edges to reduce the risk of roadway departure crashes. To evaluate and improve the performance of RDMS, surrogates of roadside objects, which have the same camera, radar, and LiDAR characteristics of the real objects, need to be developed. Grass is the most common road edge in the U.S. as seen from the real road data. This paper describes the development of surrogate grass. The LiDAR (infrared) and radar characteristics of the selected artificial turf (grass) are obtained and compared with those of real grass. In order to make the surrogate grass match the real grass in the view of sensors (LiDAR, radar and camera), a special color coating with high reflectance material is applied to the artificial turf. Both LiDAR and radar measurements confirmed that the surrogate grass closely match the key characteristics of the real grass. Five grass colors and eighteen color patterns were identified based on 1,021 grass road-edge samples from all states of the U.S. 300-meter long surrogate grass was made and successfully used on the test track for the vehicle RDMS evaluation.
机译:汽车道路离开缓解系统(RDMS)作为新的主动安全技术,近年来被引入市场。该系统可以检测路边物体和道路边缘,以降低道路出发崩溃的风险。为了评估和改进RDMS的性能,需要开发具有相同相机,雷达和LIDAR特征的路边物体的代理,需要开发。草是美国最常见的道路边缘。从真正的道路数据中看到。本文介绍了替代草的发展。获得了所选人造草皮(草)的激光雷达(红外线)和雷达特征,并与真草的雷达特征进行比较。为了使替代草在传感器(LIDAR,雷达和相机)视图中匹配真草,具有高反射材料的特殊颜色涂层应用于人造草皮。 LIDAR和雷达测量都证实了替代草与真草的关键特征密切相关。根据美国美国300米长的所有国家的1,021种草道路样品鉴定了五种草色和十八彩色图案,并成功地用于车辆RDMS评估的测试轨道。

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