Show simple item record

dc.contributor.authorLinnhoff, Clemens
dc.contributor.authorElster, Lukas
dc.contributor.authorRosenberger, Philipp
dc.contributor.authorWinner, Hermann
dc.date.accessioned2022-08-04T11:08:14Z
dc.date.available2022-08-04T11:08:14Z
dc.date.issued2022-04
dc.identifier.urihttps://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/3537
dc.identifier.urihttps://doi.org/10.48328/tudatalib-930
dc.descriptionSimulation-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.rightsCreative Commons Attribution 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectAutomated Drivingde_DE
dc.subjectLidarde_DE
dc.subjectRadarde_DE
dc.subjectSprayde_DE
dc.subjectWeatherde_DE
dc.subjectPerceptionde_DE
dc.subjectSimulationde_DE
dc.subject.classification407-04 Verkehrs- und Transportsysteme, Intelligenter und automatisierter Verkehrde_DE
dc.subject.ddc380
dc.titleRoad Spray in Lidar and Radar Data for Individual Moving Objectsde_DE
dc.typeDatasetde_DE
tud.projectTÜV Rheinland | 19A19004E | SETLevel4to5de_DE
tud.projectBund/BMWi | 19A19002S | VVMethodende_DE
tud.unitTUDa


Files in this item

Thumbnail
Thumbnail
Thumbnail
Thumbnail
Thumbnail
Thumbnail
Thumbnail
Thumbnail
Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record

Creative Commons Attribution 4.0
Except where otherwise noted, this item's license is described as Creative Commons Attribution 4.0