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Robust Robotic Localization using Visible Light Positioning and Inertial Fusion

Authors :
Guan, Weipeng
Linyi, Huang
Hussain, Babar
Yue, Chik Patrick
Guan, Weipeng
Linyi, Huang
Hussain, Babar
Yue, Chik Patrick
Publication Year :
2022

Abstract

Accurate indoor positioning is critical in the field of location-based services and robotics. Visible light positioning (VLP) technology is a promising technique as it can provide high accuracy positioning based on the existing lighting infrastructure. However, it is difficult to meet the requirement of multiple LED anchors in range for successful and accurate positioning. In this paper, we proposed a loosely-coupled VLP-inertial fusion method for VLP, with an inertial measurement unit (IMU) and rolling shutter camera, to improve positioning robustness under LED shortage/outage. The efficacy of the proposed VLP scheme as well as the robustness under LED outage, handover situation and background light interference, are verified by real-world experiments1. The results show that our proposed scheme can provide an average accuracy of 2.1 cm (stationary localization) and the average computational time in low-cost embedded platforms is around 33 ms. IEEE

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1363074762
Document Type :
Electronic Resource