Localization of Humans in Warehouse based on Rack Detection

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F19%3A00336894" target="_blank" >RIV/68407700:21730/19:00336894 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1109/ECMR.2019.8870913" target="_blank" >https://doi.org/10.1109/ECMR.2019.8870913</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ECMR.2019.8870913" target="_blank" >10.1109/ECMR.2019.8870913</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Localization of Humans in Warehouse based on Rack Detection

Popis výsledku v původním jazyce

This paper proposes a method for human localization in the automated warehouses. As the environment is highly dynamic due to changes in the racks content as well as the position of the rack, the proposed method uses the racks as landmarks for the localization. The fixed structure of the shelves and stands of the rack is used to detect the rack itself regardless of the content. The structure is coded as the graph and the detection is performed by finding the isomorphism between the rack model and the detected structure of the environment. The relative position is obtained by solving a PnP problem. The global position of the rack is gathered from the warehouse system by reading the marker identifying the rack. Experiments show that the localization has a mean error of 15 cm and is much more robust than the localization based on the marker itself.

Název v anglickém jazyce

Localization of Humans in Warehouse based on Rack Detection

Popis výsledku anglicky

This paper proposes a method for human localization in the automated warehouses. As the environment is highly dynamic due to changes in the racks content as well as the position of the rack, the proposed method uses the racks as landmarks for the localization. The fixed structure of the shelves and stands of the rack is used to detect the rack itself regardless of the content. The structure is coded as the graph and the detection is performed by finding the isomorphism between the rack model and the detected structure of the environment. The relative position is obtained by solving a PnP problem. The global position of the rack is gathered from the warehouse system by reading the marker identifying the rack. Experiments show that the localization has a mean error of 15 cm and is much more robust than the localization based on the marker itself.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

R - Projekt Ramcoveho programu EK

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2019 European Conference on Mobile Robots (ECMR)

ISBN

978-1-7281-3605-9

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

—

Název nakladatele

IEEE

Místo vydání

St. Paul, Minnesota

Místo konání akce

Prague

Datum konání akce

4. 8. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000558081900009