Data Fusion of BLE and 77 GHz Radar for Forklift- Worker Collision Avoidance
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00385439" target="_blank" >RIV/68407700:21230/25:00385439 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/WF-PST65083.2025.00015" target="_blank" >https://doi.org/10.1109/WF-PST65083.2025.00015</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/WF-PST65083.2025.00015" target="_blank" >10.1109/WF-PST65083.2025.00015</a>
Alternative languages
Result language
angličtina
Original language name
Data Fusion of BLE and 77 GHz Radar for Forklift- Worker Collision Avoidance
Original language description
Forklift-worker collisions often result in serious injuries. Although researchers have addressed this issue, a fully satisfactory solution remains elusive. This paper presents an analysis of technologies suitable for preventing forklift-human collisions. The analysis considers factors such as accuracy, range, computational cost, localization, and identification capabilities. Based on these criteria, a data fusion approach combining Bluetooth Low Energy (BLE) and 77 GHz radar technologies is investigated. This combination enhances identification using BLE technology and radar detection accuracy. By developing a data fusion application, we demonstrate that the proposed approach is an effective solution for mitigating forklift-worker collisions.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
<a href="/en/project/LUE231026" target="_blank" >LUE231026: AI-Driven Smart Safety Management System for Industrial Environments</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2025 IEEE World Forum on Public Safety Technology (WF-PST)
ISBN
979-8-3315-8977-6
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
54-59
Publisher name
IEEE Computer Society
Place of publication
Los Alamitos
Event location
Orlando, FL, USA
Event date
Sep 23, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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