Mobile Robot Localization by Tracking Built-in Encoders

Chen, Chih Liang; Huang, Song Huei; Zhou, Jia Hong

doi:10.1109/is3c.2014.222

Cited by 8 publications

(2 citation statements)

References 3 publications

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“…Infrared (IR) sensors detect infrared radiation from objects, using triangulation for localization, offering accuracy and energy efficiency but limited by line-of-sight requirements and ambient light interference [3], [4]. Encoders, integrated in robot motor systems, estimate position based on wheel rotation, offering simplicity but susceptible to errors like slippage and drift [5]. Ultrasonic sensors utilize time-offlight to measure sound wave travel time, offering accuracy but affected by sound speed variations and interference [6].…”

Section: Introductionmentioning

confidence: 99%

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Low-Cost Indoor Localization Using Dual-Chip RFID Tag

Ali,

Kaemarungsi,

Phakaew

et al. 2024

IEEE Open J. Antennas Propag.

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In this study, a low-cost dual-chip RFID tag antenna is proposed for indoor localization. The antenna integrates two RFID chips, each generating opposing radiation patterns. Angle-of-arrival based localization is performed with a single reader by analyzing the Received Signal Strength Indicator (RSSI) and the RSSI ratio of both chips. The antenna incorporates a mechanically adjustable reflector at the back that allows simple beam elevation control to tune the antenna for different indoor environments. The proposed dual-chip tag was measured in an indoor environment with different beam configurations. The localization is performed using a simple sinusoidal regression model with three model parameters and a linear regression model with two model parameters to fit the RSSI ratio of both chips and the RSSI of each individual chip, respectively. The proposed technique yields an average angle-of-arrival error better than 6.6˚ within the tag's horizontal detection range of 4.2 meters.

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Section: Introductionmentioning

confidence: 99%

“…Fig.12shows the response of the proposed dual-chip tag for each value of D. The RSSI of each position d in this figure was averaged from 30 measured values. The angle θ in this figure is calculated with(5)…”

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confidence: 99%