A Study on the Localization of a Mini 4WD Car Using Geomagnetic Information and Racetrack

In this paper, we propose a method of position estimation using a geomagnetic sensor for the automatic control of a mini 4WD AI machine. First, a mini 4WD AI machine is driven on a circular course, and the geomagnetic sensor is used to measure the horizontal geomagnetic field while the machine is running. Since the geomagnetic field ideally forms a regular circle when the machine is running around the course, a circle model is constructed from the measured values. Using the center point of the circle model, the orientation of the machine at each measurement time is obtained, and its position on the course is estimated. Numerical experiments are conducted to evaluate the effectiveness of the proposed method.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/icmlc63072.2024.10935012
Primary Topic
Internet of Things and Social Network Interactions
Type
article
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article

A Study on the Localization of a Mini 4WD Car Using Geomagnetic Information and Racetrack

Yusuke Shibata, Tomoharu Nakashima, Yoshifumi Kusunoki, Kotaro Tanaka et al.
Internet of Things and Social Network Interactions
article

A Study on the Localization of a Mini 4WD Car Using Geomagnetic Information and Racetrack

Yusuke Shibata, Tomoharu Nakashima, Yoshifumi Kusunoki, Kotaro Tanaka, Kentaro Sugi
article en

Abstract

In this paper, we propose a method of position estimation using a geomagnetic sensor for the automatic control of a mini 4WD AI machine. First, a mini 4WD AI machine is driven on a circular course, and the geomagnetic sensor is used to measure the horizontal geomagnetic field while the machine is running. Since the geomagnetic field ideally forms a regular circle when the machine is running around the course, a circle model is constructed from the measured values. Using the center point of the circle model, the orientation of the machine at each measurement time is obtained, and its position on the course is estimated. Numerical experiments are conducted to evaluate the effectiveness of the proposed method.

Affordable and clean energy
Openalex Percentile: Top 66%
Internet of Things and Social Network Interactions
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