Published March 14, 2023 | Version v1

A New Dataset of People Flow in an Industrial Site with UWB and Motion Capture Systems

  • 1. CESI
  • 2. LINEACT CESI
  • 3. Université de Rouen LITIS

Description

Improving performance and safety conditions at industrial sites remain key elements of the Group's strategy. Major issues require the ability to dynamically locate people and assets on the site. Currently, the security and regulation of access to areas with different characteristics (types of tasks, level of risk, or confidentiality...) are often carried out with badge doors or barriers. These means present several weaknesses in the face of inappropriate movements of people, but also of objects or tools. Also, there is increasing use of technological devices requiring precise localization in the industrial environment such as AGVs (mobile robots or drones) or augmented reality devices. It is therefore becoming essential to have tools to dynamically manage these flows of people or goods associated with precise location technologies. An Ultra-Wide-Band solution will be employed to quickly and efficiently identify persons who may find themselves in unauthorized areas or perform tasks for which they are uninstructed. Besides dynamic people tracking, this solution can overcome problems of moving objects and tools in production workshops. We propose a new dataset to have information about workers' displacement and evaluate workers' performance and safety.

The dataset is available at this link: IndoorIndustrialLocalisationDataset: https://github.com/vauchey/IndoorInsdustrialLocalisationDataset/

 

Paper :

Mickael Delamare1, Fabrice Duval2, Remi Boutteau3.

1cesi, CESI,Rouen campus,  76000 ROUEN, France,mdelamare@cesi.fr
2 LINEACT CESI, LINEACT CESI, Rouen campus,76000 ROUEN, France, fduval@cesi.fr
3 ESIGELEC , IRSEEM, Rouen, France, Normandie Univ, UNIROUEN, remi.boutteau@univ-rouen.fr,

Link : https://www.mdpi.com/1424-8220/20/16/4511

DOI : https://doi.org/10.3390/s20164511

Accepted to the journal Sensors (MDPI)

 

Files

Filtered_datas_UWB.zip

Files (267.5 MB)

Name Size Download all
md5:8690a429cb4e5cd0a45d5c4811c8fae3
85.0 MB Preview Download
md5:6b5ce18fcd7ca2b4141d6e04e91c7f95
182.4 MB Preview Download