Abstract This paper presents the first results of the publicly funded ECSEL project DENSE (Adverse weather environmental sensing system). DENSE seeks to eliminate one of the most pressing problems of automated driving: the inability of current systems to sense their surroundings under all weather conditions. The task in DENSE is to develop a sensor suite for automatic driving, by means of which the vehicle environment can be reliably detected 24/7 under these bad weather conditions. In this paper, the state of the art of environmental sensor technology is first examined and evaluated in the CEREMA weather chamber. Then, the architecture of the DENSE Sensor Suite is presented and the development results of the most important system components are described. The results show that the realization of a 24/7 all-weather sensor suite is absolutely feasible with these components .
DENSE: Environment Perception in Bad Weather—First Results
2019-01-01
17 pages
Article/Chapter (Book)
Electronic Resource
English
ADAS (Advanced driver assistance system) , Automatic driving in bad weather , Autonomous driving in bad weather , Inclement weather , 24/7 All-weather sensor suite , Short wave infrared gated camera , Gated camera , Short wave infrared lidar , SWIR Lidar , Pixel-accurate depth map , Signal enhancement , Robust learning technique , Defogging , Deep neural networks for signal enhancement , Global adversarial network (GAN) for signal enhancement Energy , Transportation , Automotive Engineering , Sustainable Development , Innovation/Technology Management , Renewable and Green Energy
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