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| DC Element | Wert | Sprache |
|---|---|---|
| dc.contributor.author | Strunz, Martin | - |
| dc.contributor.author | Protzmann, Robert | - |
| dc.contributor.other | Radusch, Ilja | - |
| dc.date.accessioned | 2025-05-22T08:15:21Z | - |
| dc.date.available | 2025-05-22T08:15:21Z | - |
| dc.date.issued | 2024-12-11 | - |
| dc.identifier.uri | https://fordatis.fraunhofer.de/handle/fordatis/427 | - |
| dc.identifier.uri | http://dx.doi.org/10.24406/fordatis/378 | - |
| dc.description.abstract | The LUCID Dataset consists of labeled data for 100~scenarios with about 1.1h of drive time, 40.000 frames and 500.000 bounding boxes and will be publicly available from now. We employed the Eclipse MOSAIC simulation framework in conjunction with the SUMO simulator for routes and traffic densities as well as CARLA for simulation of sophisticated LIDAR sensors and environments. | en |
| dc.language.iso | other | en |
| dc.relation.isbasedon | https://www.dcaiti.tu-berlin.de/research/simulation/lucid/ | - |
| dc.relation.isreferencedby | 10.1007/978-3-031-87345-4_14 | - |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en |
| dc.subject | Sensor Simulation | en |
| dc.subject | LIDAR Dataset | en |
| dc.subject | Object Detection | en |
| dc.subject.ddc | DDC::000 Informatik, Informationswissenschaft, allgemeine Werke::000 Informatik, Wissen, Systeme::004 Datenverarbeitung; Informatik | en |
| dc.subject.ddc | DDC::000 Informatik, Informationswissenschaft, allgemeine Werke::000 Informatik, Wissen, Systeme::005 Computerprogrammierung, Programme, Daten | en |
| dc.subject.ddc | DDC::000 Informatik, Informationswissenschaft, allgemeine Werke::000 Informatik, Wissen, Systeme::006 Spezielle Computerverfahren | en |
| dc.title | LUCID Dataset | en |
| dc.title.alternative | LIDAR Utilization for Cross-Data Integration and Diversity | en |
| dc.type | Tabular Data | en |
| dc.contributor.funder | Bundesministerium für Bildung und Forschung BMBF (Deutschland) | en |
| dc.description.technicalinformation | The LUCID Dataset follows the well-known KITTI formatting, facilitating the reuse of existing tools. The dataset is provided as zip files and organized into the following sub-folders: Sub-folder Description calib Calibration information for image rectification imu Transformation matrix for IMU coordinates to world coordinates label Labeled objects of different classes in this frame lidar Actual LiDAR point clouds in this frame (named velodyne in KITTI) More information could be found here: https://dcaiti.com/s/lucid-dataset | en |
| dc.title.translated | LIDAR-Anwendung für datenübergreifende Integration und Diversität | en |
| fordatis.group | IUK-Technologie | en |
| fordatis.institute | FOKUS Fraunhofer-Institut für offene Kommunikationssysteme | en |
| fordatis.rawdata | false | en |
| Enthalten in den Sammlungen: | Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS | |
Dateien zu dieser Ressource:
| Datei | Beschreibung | Größe | Format | |
|---|---|---|---|---|
| LUCID_high-density.zip | Selected sample scenario with city blocks and commercial buildings, based on nuScenes | 131,7 MB | ZIP | Öffnen/Download |
Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons
