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Effects of exhaust gases on laser scanner data quality at low ambient temperatures

机译:在低环境温度下废气对激光扫描仪数据质量的影响

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Safety systems in automated vehicles use surround sensors to perceive their local environment. In contrast to radar sensors, laser scanners provide precise spatial information, which can be used to identify critical traffic situations and trigger reversible or irreversible safety systems. As a consequence, already small errors in sensor data measurements could lead to severe accidents. The performance of surround sensors depends on the ambient atmosphere and weather condition. It is known that rain and fog have negative influence and leads to signal degradation. In winter time or cold climate, the ambient air temperature requires less moisture to attain high relative humidity or to become saturated. Therefore, the hot exhaust gases of vehicles are condensed instantly and can be seen as a distinct mass of fog. To the best of our knowledge, nobody has investigated effects of exhaust gases at low temperatures on sensor quality so far. Based on static and dynamic tests at different temperatures, we have shown that exhaust gases are visible for laser scanners and lead to degraded performance. The results can be used to assign the priorities of sensors in sensor data fusion processes or to develop novel filter algorithms for low temperature situations.
机译:自动驾驶汽车中的安全系统使用环绕传感器来感知其本地环境。与雷达传感器相比,激光扫描仪可提供精确的空间信息,可用于识别紧急交通情况并触发可逆或不可逆安全系统。结果,传感器数据测量中已经很小的误差可能会导致严重事故。环绕传感器的性能取决于周围的大气和天气条件。众所周知,雨和雾会产生负面影响,并导致信号质量下降。在冬季或寒冷的气候中,环境温度需要较少的水分才能达到较高的相对湿度或达到饱和。因此,车辆的热废气会立即冷凝,可以看作是明显的雾团。据我们所知,到目前为止,还没有人研究过低温下的废气对传感器质量的影响。根据在不同温度下的静态和动态测试,我们显示出激光扫描仪可以看到废气,并导致性能下降。结果可用于在传感器数据融合过程中分配传感器的优先级,或开发针对低温情况的新颖过滤器算法。

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