Development of a Novel Indoor Positioning System With mm-Range Precision Based on RF Sensors Network

Xiong, Renhai; Waasen, Stefan van; Rheinländer, Carl C.; Wehn, Norbert

doi:10.1109/lsens.2017.2749000

Cited by 11 publications

(5 citation statements)

References 7 publications

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“…Indoor localization refers to the process of determining the location of a device or a person inside a building or an enclosed space [6]. It is an important technology that has numerous applications in various industries and sectors, including retail, healthcare [7], transportation [8], industrial automation [9], public safety [10], and entertainment [11].…”

Section: Related Workmentioning

confidence: 99%

A Performance Comparison between Different Industrial Real-Time Indoor Localization Systems for Mobile Platforms

Rebelo,

Lima,

Soares

et al. 2024

Sensors

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The flexibility and versatility associated with autonomous mobile robots (AMR) have facilitated their integration into different types of industries and tasks. However, as the main objective of their implementation on the factory floor is to optimize processes and, consequently, the time associated with them, it is necessary to take into account the environment and congestion to which they are subjected. Localization, on the shop floor and in real time, is an important requirement to optimize the AMRs’ trajectory management, thus avoiding livelocks and deadlocks during their movements in partnership with manual forklift operators and logistic trains. Threeof the most commonly used localization techniques in indoor environments (time of flight, angle of arrival, and time difference of arrival), as well as two of the most commonly used indoor localization methods in the industry (ultra-wideband, and ultrasound), are presented and compared in this paper. Furthermore, it identifies and compares three industrial indoor localization solutions: Qorvo, Eliko Kio, and Marvelmind, implemented in an industrial mobile platform, which is the main contribution of this paper. These solutions can be applied to both AMRs and other mobile platforms, such as forklifts and logistic trains. In terms of results, the Marvelmind system, which uses an ultrasound method, was the best solution.

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Section: Related Workmentioning

confidence: 99%

A Performance Comparison between Different Industrial Real-Time Indoor Localization Systems for Mobile Platforms

Rebelo,

Lima,

Soares

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

“…Ignoring the correlations will lead to over-confident estimations and even filter divergence. On the other hand, A variety of sensing technologies including computer visionbased techniques [14] and wireless radio signal based techniques [15] are used for inter-agent relative measurements in CL implementations. The computer vision-based techniques' requirement of LoS condition between the agents makes them less effective in complex and cluttered environments.…”

Section: Introductionmentioning

confidence: 99%

An IMM-based Decentralized Cooperative Localization with LoS and NLoS UWB Inter-agent Ranging

Zhu

Kia

2020

Preprint

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This paper studies the global localization of a group of communicating mobile agents via an ultra-wideband (UWB) inter-agent ranging aided dead-reckoning system. We propose a loosely coupled cooperative localization algorithm that acts as an augmentation atop the local dead-reckoning system of each mobile agent. This augmentation becomes active only when an agent wants to process a relative measurement it has taken. The main contribution of this paper is to address the challenges in the proper processing of the UWB range measurements in the framework of the proposed cooperative localization. Even though UWB offers a decimeter level accuracy in line-of-sight (LoS) ranging, its accuracy degrades significantly in non-lineof-sight (NLoS) due to the significant unknown positive bias in the measurements. Thus, the measurement models for the UWB LoS and NLoS ranging conditions are different, and proper processing of NLoS measurements requires a bias compensation measure. On the other hand, in practice, the measurement modal discriminators determine the type of UWB range measurements with only some level of certainty. To take into account the probabilistic nature of the NLoS identifiers, our proposed cooperative localization employs an interacting multiple model (IMM) estimator. The effectiveness of our proposed method is demonstrated via an experiment for a group of pedestrians who use UWB relative range measurements among themselves to improve their geolocation using a shoe-mounted INS system.

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“…However, GNSS performs poorly in indoor environment and is not suitable for indoor positioning because of weak signal reception and radio wave multi-path effect. Developers have suggested various indoor positioning technologies such as Ultrasound [ 1 , 2 ], Radio frequency (RF) [ 3 , 4 ] and Ultra wide band (UWB) [ 5 , 6 ]. The Ultrasonic positioning system localize a pedestrian based on the propagation time of ultrasonic wave and it can achieve an accuracy within a meter.…”

Section: Introductionmentioning

confidence: 99%

Use of Magnetic Field for Mitigating Gyroscope Errors for Indoor Pedestrian Positioning

Song

et al. 2018

Sensors

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In the field of indoor pedestrian positioning, the improved Quasi-Static magnetic Field (iQSF) method has been proposed to estimate gyroscope biases in magnetically perturbed environments. However, this method is only effective when a person walks along straight-line paths. For other curved or more complex path patterns, the iQSF method would fail to detect the quasi-static magnetic field. To address this issue, a novel approach is developed for quasi-static magnetic field detection in foot-mounted Inertial Navigation System. The proposed method detects the quasi-static magnetic field using the rate of change in differences between the magnetically derived heading and the heading derived from gyroscope. In addition, to eliminate the distortions caused by system platforms and shoes, a magnetometer calibration method is developed and the calibration is transformed from three-dimensional to two-dimensional coordinate according to the motion model of a pedestrian. The experimental results demonstrate that the proposed method can provide superior performance in suppressing the heading errors with the comparison to iQSF method.

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Development of a Novel Indoor Positioning System With mm-Range Precision Based on RF Sensors Network

Cited by 11 publications

References 7 publications

A Performance Comparison between Different Industrial Real-Time Indoor Localization Systems for Mobile Platforms

A Performance Comparison between Different Industrial Real-Time Indoor Localization Systems for Mobile Platforms

An IMM-based Decentralized Cooperative Localization with LoS and NLoS UWB Inter-agent Ranging

Use of Magnetic Field for Mitigating Gyroscope Errors for Indoor Pedestrian Positioning

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