TUdatalib : Dynamic Direct LiDAR Odometry

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dc.contributor.author	Lichtenfeld, Jonathan
dc.contributor.author	Daun, Kevin
dc.contributor.author	von Stryk, Oskar
dc.date.accessioned	2024-08-14T08:09:31Z
dc.date.available	2024-08-14T08:09:31Z
dc.date.issued	2023-03
dc.identifier.uri	https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4303
dc.description	Dataset mentioned in the Dynamic Direct LiDAR Odometry paper.<br/> It contains a sequence recorded near the campus of TU Damstadt. Urban scene, many dynamic objects: Pedestrians, cyclists, vehicles.<br/> The data was recorded on a wheeled ground robot equipped with an Ouster OS-0 128 LiDAR and a Xsens IMU.<br/> Topics:<br/> - /autonomy_module_lidar/points \| sensor_msgs/PointCloud2<br/> - sensor_msgs/PointCloud2 \| sensor_msgs/Imu<br/> The sequence is split into 10 bagfiles of ~3GB each. The total duration is ~480s.	de_DE
dc.rights	Creative Commons Attribution 4.0
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.subject	Lidar	de_DE
dc.subject	SLAM	de_DE
dc.subject	Robot	de_DE
dc.subject.classification	4.43-04 Künstliche Intelligenz und Maschinelle Lernverfahren	de_DE
dc.subject.classification	4.43-05 Bild- und Sprachverarbeitung, Computergraphik und Visualisierung, Human Computer Interaction, Ubiquitous und Wearable Computing
dc.subject.ddc	004
dc.title	Dynamic Direct LiDAR Odometry - Kantplatz dataset	de_DE
dc.type	Dataset	de_DE
tud.unit	TUDa
tud.history.classification	Version=2016-2020;409-05 Interaktive und intelligente Systeme, Bild- und Sprachverarbeitung, Computergraphik und Visualisierung