Work

An Improved Localization Method Using Light Detection and Ranging for Indoor Positionings

Year: 2025

Type: article

Abstract: This study proposes a low-cost indoor positioning system based on a single Light Detection and Ranging (LiDAR) sensor and several fixed reflective reference points. Distances are obtained by trigonometric measurement, and positions are computed by trilateration. In static tests the average error was 7.4 mm. When the target moves at walking speed, small survey errors of the reference points cause the average error to increase to 21.8 mm. Finally, the proposed Reference Point Update Method (RPUM) that continuously corrects reference point coordinates using a moving average of recent residuals reduces the dynamic error from 208.71 mm to 20.34 mm, which is about 90% improvement. The method used in this paper requires no additional hardware and runs in real time.

Source: Electronics

DOI: 10.3390/electronics14244904

Authors: Yung-Fa Huang, Ching-Mu Chen, Jun-Yuan Liao, Tung-Jung Chan

Institutions: Chaoyang University of Technology, National Penghu University of Science and Technology

Language: English

Topic: Indoor and Outdoor Localization Technologies

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,896

Funder: National Science and Technology Council