Wearable Camera-Based Human Absolute Localization in Large Warehouses

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F20%3A00337363" target="_blank" >RIV/68407700:21730/20:00337363 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1117/12.2559424" target="_blank" >https://doi.org/10.1117/12.2559424</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1117/12.2559424" target="_blank" >10.1117/12.2559424</a>

Result language
angličtina
Original language name
Wearable Camera-Based Human Absolute Localization in Large Warehouses
Original language description
In a robotised warehouse, as in any place where robots move autonomously, a major issue is the localization or detection of human operators during their intervention in the work area of the robots. This paper introduces a wearable human localization system for large warehouses, which utilize preinstalled infrastructure used for localization of automated guided vehicles (AGVs). A monocular down-looking camera is detecting ground nodes, identifying them and computing the absolute position of the human to allow safe cooperation and coexistence of humans and AGVs in the same workspace. A virtual safety area around the human operator is set up and any AGV in this area is immediately stopped. In order to avoid triggering an emergency stop because of the short distance between robots and human operators, the trajectories of the robots have to be modified so that they do not interfere with the human. The purpose of this paper is to demonstrate an absolute visual localization method working in the challenging environment of an automated warehouse with low intensity of light, massively changing environment and using a solely monocular camera placed on the human body.
Czech name
—
Czech description
—

Project
<a href="/en/project/EF15_003%2F0000470" target="_blank" >EF15_003/0000470: Robotics 4 Industry 4.0</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2019 The 12th International Conference on Machine Vision (ICMV 2019)
ISBN
9781510636439
ISSN
0277-786X
e-ISSN
1996-756X
Number of pages
8
Pages from-to
—
Publisher name
SPIE
Place of publication
Montréal
Event location
Amsterdam
Event date
Nov 16, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000542922700100

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