Static and Dynamic Evaluation of an UWB Localization System for Industrial Applications

Mickaël Delamare,Remi Boutteau,Xavier Savatier,Nicolas Iriart

doi:10.3390/sci2020023

Mickaël Delamare, Remi Boutteau + Show 2 more

Open Access

https://doi.org/10.3390/sci2020023

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Abstract

Many applications in the context of Industry 4.0 require precise localization. However, indoor localization remains an open problem, especially in complex environments such as industrial environments. In recent years, we have seen the emergence of Ultra WideBand (UWB) localization systems. The aim of this article is to evaluate the performance of a UWB system to estimate the position of a person moving in an indoor environment. To do so, we implemented an experimental protocol to evaluate the accuracy of the UWB system both statically and dynamically. The UWB system is compared to a ground truth obtained by a motion capture system with a millimetric accuracy.

Highlights

Robotization, especially in factories, leads to an increasingly close interaction and collaboration between man and machine, a concept referred to cobotics
We look how Ultra WideBand (UWB) behaves in a static condition and evaluate the precision and accuracy in a
We describe the behaviour of an Ultra WideBand system in static and dynamic cases by comparison with a ground truth obtained with a motion capture system

Summary

Introduction

Robotization, especially in factories, leads to an increasingly close interaction and collaboration between man and machine, a concept referred to cobotics This evolution is accompanied by a growing demand for intuitive and efficient Human Machine Interfaces (HMIs) based on natural interaction. In this context, HMIs will have an effect on the development of innovative handheld human-machine interfaces relying on gesture recognition to enable intuitive and non-intrusive control of industrial machinery. HMIs will have an effect on the development of innovative handheld human-machine interfaces relying on gesture recognition to enable intuitive and non-intrusive control of industrial machinery To achieve this task, accurate and tiny form-factor sensors are required. Those future industries are emerging as the convergence of the virtual world, digital design, management (finance and marketing) with real-world products and objects

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