TUdatalib : Road Spray in Lidar and Radar Data for Individual Moving Objects

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dc.contributor.author	Linnhoff, Clemens
dc.contributor.author	Elster, Lukas
dc.contributor.author	Rosenberger, Philipp
dc.contributor.author	Winner, Hermann
dc.date.accessioned	2022-08-04T11:08:14Z
dc.date.available	2022-08-04T11:08:14Z
dc.date.issued	2022-04
dc.identifier.uri	https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/3537
dc.identifier.uri	https://doi.org/10.48328/tudatalib-930
dc.description	Simulation-based testing supports the challenging task of safety validation of automated driving functions. Virtual testing always entails the modeling of automotive perception sensors and their environment. In the real world, these sensors are not only exposed to weather conditions like rain, fog, snow etc., but environmental influences also appear locally. Road spray is one of the more challenging occurrences, because it involves other moving objects in the scenario. This data set is designed to systematically analyze the influence of road spray on lidar and radar sensors. It consists of sensor measurements of two vehicle classes driving over asphalt with three water levels to differentiate multiple influence factors.	de_DE
dc.rights	Creative Commons Attribution 4.0
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.subject	Automated Driving	de_DE
dc.subject	Lidar	de_DE
dc.subject	Radar	de_DE
dc.subject	Spray	de_DE
dc.subject	Weather	de_DE
dc.subject	Perception	de_DE
dc.subject	Simulation	de_DE
dc.subject.classification	4.41-04 Verkehrs- und Transportsysteme, Intelligenter und automatisierter Verkehr	de_DE
dc.subject.ddc	380
dc.title	Road Spray in Lidar and Radar Data for Individual Moving Objects	de_DE
dc.type	Dataset	de_DE
tud.project	TÜV Rheinland \| 19A19004E \| SETLevel4to5	de_DE
tud.project	Bund/BMWi \| 19A19002S \| VVMethoden	de_DE
tud.unit	TUDa
tud.history.classification	Version=2020-2024;407-04 Verkehrs- und Transportsysteme, Intelligenter und automatisierter Verkehr