Data Fusion of BLE and 77 GHz Radar for Forklift- Worker Collision Avoidance

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Data Fusion of BLE and 77 GHz Radar for Forklift- Worker Collision Avoidance

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Data Fusion of BLE and 77 GHz Radar for Forklift- Worker Collision Avoidance

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

<a href="/cs/project/LUE231026" target="_blank" >LUE231026: Inteligentní systém řízení bezpečnosti pro průmyslová prostředí založený na umělé inteligencí a Auto-ID</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název statě ve sborníku

2025 IEEE World Forum on Public Safety Technology (WF-PST)

ISBN

979-8-3315-8977-6

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

54-59

Název nakladatele

IEEE Computer Society

Místo vydání

Los Alamitos

Místo konání akce

Orlando, FL, USA

Datum konání akce

23. 9. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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