激光雷达
环境科学
雨雪交融
遥感
雪
气象学
测距
计算机科学
地质学
地理
电信
作者
Karl Montalban,Christophe Reymann,Dinesh Atchuthan,Paul-Édouard Dupouy,Nicolas Rivière,Simon Lacroix
出处
期刊:Atmosphere
[MDPI AG]
日期:2021-06-08
卷期号:12 (6): 738-738
被引量:10
标识
DOI:10.3390/atmos12060738
摘要
Light Detection And Ranging sensors (lidar) are key to autonomous driving, but their data is severely impacted by weather events (rain, fog, snow). To increase the safety and availability of self-driving vehicles, the analysis of the phenomena consequences at stake is necessary. This paper presents experiments performed in a climatic chamber with lidars of different technologies (spinning, Risley prisms, micro-motion and MEMS) that are compared in various artificial rain and fog conditions. A specific target with calibrated reflectance is used to make a first quantitative analysis. We observe different results depending on the sensors, valuable multi-echo information, and unexpected behaviors in the analysis with artificial rain are seen where higher rain rates do not necessarily mean higher degradations on lidar data.
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