11-Dec-2024 Tabular Data https://fordatis.fraunhofer.de/handle/fordatis/427
http://dx.doi.org/10.24406/fordatis/378

LUCID Dataset

LIDAR Utilization for Cross-Data Integration and Diversity

LIDAR-Anwendung für datenübergreifende Integration und Diversität

Strunz, Martin (Fraunhofer FOKUS); Protzmann, Robert (Fraunhofer FOKUS)

FOKUS Fraunhofer-Institut für offene Kommunikationssysteme
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LUCID_high-density.zipSelected sample scenario with city blocks and commercial buildings, based on nuScenes131,7 MBZIPDownload/Open

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.

Technical Information

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
Classification
004 Datenverarbeitung; Informatik
005 Computerprogrammierung, Programme, Daten
006 Spezielle Computerverfahren
Keywords
Sensor Simulation
LIDAR Dataset
Object Detection
Relationships
Is referenced by
10.1007/978-3-031-87345-4_14
Is based on
https://www.dcaiti.tu-berlin.de/research/simulation/lucid/
Funder
Bundesministerium für Bildung und Forschung BMBF (Deutschland)
Fraunhofer Group
IUK-Technologie
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