Heudiasyc - UMR CNRS 7253
Université de technologie de Compiègne
CS 60319 - 57 avenue de Landshut
60203 COMPIEGNE CEDEX - FRANCE
CS 60319 - 57 avenue de Landshut
60203 COMPIEGNE CEDEX - FRANCE
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 13 projets contenant 89 jeux de données depuis 2018.
Dernières mises à jour :
14/05/2024 -
Learning to Estimate Two Dense Depths from LiDAR and Event Data
This project contains the data used as part of the "Learning to Estimate Two Dense Depths from LiDAR and Event Data" article, publishe...
28/03/2024 -
ERASMO
ERASMO Datasets
14/07/2023 -
Infinity
Please find details and refer to this article if you use those data: Full reference and DOI will be communicated soon.
Two experi...
14/05/2024 -
The Synthetic LiDAR Events Depths (SLED) Dataset
The Synthetic LiDAR Events Depths (SLED) Dataset, as described in the "Learning to Estimate Two Dense Depths from LiDAR and Event Data"...
14/06/2023 -
Within subject design (experiment 2)
Data from 31 subjects
14/06/2023 -
Between subject design (experiment 1)
Data from 125 subjects
24/05/2024 -
2024-05-24_17-26-11
full compiegne test with new EAPE 6.5 version and ERASMO new version (21/05).
23/05/2024 -
2024-05-23_16-32-06
Test in Compiegne with old EAPE 6.4 version and ERASMO old version (17/05). Updated lever arms for OBU and SPAN-CPT.
23/05/2024 -
2024-05-23_15-16-06
Test on test track with old EAPE 6.4 version and ERASMO old version (17/05). Updated lever arms for OBU and SPAN-CPT.
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