Ce portail permet l'exploitation des données expérimentales acquises au sein du laboratoire Heudiasyc.
Heudiasyc (HEUristique et DIAgnostic des SYstèmes Complexes) est un laboratoire géré conjoitement par l'Université de Technologie de Compiègne et le CNRS.
Il opère dans le domaine des sciences de l'information et du numérique, à savoir l'informatique, l'automatique, la robotique et l'intelligence artificielle.
Il y a actuellement 19 projets contenant 212 jeux de données depuis 2018.
Dernières mises à jour :
30/07/2026 -
E-MOTION
Data files of the E-MOTION dataset. Alternative download link:
Contents
11/04/2025 -
Fusing LiDAR and Event Data to Estimate Dense Depth Maps
This project contains the data used as part of the "Learning to Estimate Two Dense Depths from LiDAR and Event Data" article, publishe...
14/01/2025 -
Automatic Image Annotation for Mapped Features Detection
Dataset used in the article "Automatic Image Annotation for Mapped Features Detection"...
30/07/2026 -
two_drones_2
Cameras perform random movements while two drones fly in front of them.
30/07/2026 -
two_drones_1
Cameras perform random movements while two drones fly in front of them.
30/07/2026 -
square_traj_drone
Cameras randomly moved along a square trajectory while a drone flies in front of them.
Mise en avant :
This dataset comprises labelled LIDAR scans, which were acquired in 6 locations in France by Renault and Heudiasyc Lab, both members of the joint Lab SIVALab. Each LIDAR point is labelled with t...
This dataset was recorded for cooperative localization with a platoon of two Renault Zoés on the UTC Séville test track. Each vehicle is equipped with a low-cost mono-frequenc...
Datasets generated based on INFOCA institution data for the firefighters timetabling problem FFTP