Multi-Sensor Vehicle Trajectories Dataset for Localization and Perception

DOI

This dataset contains complete recordings of trajectories performed by an experimental vehicle equipped with a wide range of perception and positioning sensors. The data is intended for research and development in the fields of localization, mapping, sensor fusion, robotic perception, and autonomous navigation, with 7 different trajectories. This acquisition was carried out as part of the ANR LOCSP project using the vehicle demonstrator tools from the PRETIL platform of the CRIStAL laboratory.

This dataset contains the following sensor data types : - GNSS positions from multiple receivers - 3D point clouds from LIDAR systems - IMU (Inertial Measurement Unit) data from onboard sensors - CAN bus data recording the internal vehicle state (speed, steering, etc.)

Identifier
DOI https://doi.org/10.57745/YCXRWF
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/YCXRWF
Provenance
Creator Dherbomez, Gérald ORCID logo
Publisher Recherche Data Gouv
Contributor Dherbomez, Gérald; El Mawas, Zaynab; Duquesne, Maxime; De Smet, Gauthier; Cappelle, Cindy; El Badaoui El Najjar, Maan; Université de Lille; Entrepôt Recherche Data Gouv
Publication Year 2025
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact Dherbomez, Gérald (Université de Lille)
Representation
Resource Type Dataset
Format application/pdf; application/zip; text/markdown; application/json
Size 1202119; 4896020091; 4357473671; 6865616254; 15145208024; 13205163165; 8121057259; 10214044763; 6033; 1377
Version 1.0
Discipline Engineering Sciences; Construction Engineering and Architecture; Engineering