A multi-hop distributed indoor localization algorithm for ultra-wide-band sensor network

He, Chengyang; Xia, Yinqiu; Yu, Chengpu; Jiang, Chaoyang

doi:10.1109/icarcv50220.2020.9305442

Cited by 3 publications

(3 citation statements)

References 9 publications

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“…Finally, the distance between the two images is obtained by (15). In this case the map ′ is between all the rows of X and Y.…”

Section: D Dynamic Programming Based Imagementioning

confidence: 99%

“…Due to the importance of self-localization, many other solutions for indoor environment have been proposed so far with different cost and accuracy characteristics. For example the Ultra Wide Band radio signal indoor localization systems [15], or the Bluetoothbased angle of arrival radio devices [19], or a combination of them. However these systems have serious limitations in cost and reliability, respectively.…”

Section: Introductionmentioning

confidence: 99%

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Ceiling-Vision-Based Mobile Object Self-Localization: A Composite Framework

Cuzzocrea¹

2021

JVLC

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“…Finally, the distance between the two images is obtained by (15). In this case the map ′ is between all the rows of X and Y.…”

Section: D Dynamic Programming Based Imagementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Ceiling-Vision-Based Mobile Object Self-Localization: A Composite Framework

Cuzzocrea¹

2021

JVLC

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“…Due to the importance of self-localization, many other solutions for indoor environment have been proposed so far with different cost and accuracy characteristics. For example the Ultra Wide Band radio signal indoor localization systems [2], or the Bluetooth-based angle of arrival radio devices [3], or a combination of them. However these systems have serious limitations in cost and reliability, respectively.…”

Section: Introductionmentioning

confidence: 99%

A Novel Framework for Supporting Mobile Object Self-Localization via Emerging Artificial Intelligence Tools

Cuzzocrea¹

2021

International Conferences on Distributed Multimedia Systems

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This paper focuses the attention on the problem of supporting mobile object self-localization. The proposed algorithm estimates the distance from the camera lens to the center of the landmarks using only ceiling vision. Localization can be easily obtain from such distance estimations. Projections are geometrically described and the distance estimation is based on the pixels mapping information obtained by a two-dimensional dynamic programming algorithm (2D-DPA).

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An Innovative Monocular Mobile Object Self-localization Approach Based on Ceiling Vision

Cuzzocrea

Camilotti

Mumolo

2021

Lecture Notes in Networks and Systems

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This study deals with the estimation of the position of a mobile object using ceiling landmarks images acquired by a low resolution camera placed on a mobile object. The mobile object is moving in an indoor environment where light is given by electric lamps with circular holders. The images of the circular holders are projected on the image plane of the camera and are processed by means of computer vision algorithms. The pixels of the images of the light holders on the ceiling are mapped to the pixels of the images of the light holders on the image plane of the camera by means of a two dimensional dynamic programming algorithm (2D-DPA). The projection distortions are thus compensated and this reduces the estimation errors. The algorithm described in this paper estimates the distance from the camera lens to the center of the landmarks using only ceiling vision. Localization can be easily obtain from such distance estimations. The projections are geometrically described and the distance estimation is based on the pixels mapping information obtained by 2D-DPA.

show abstract

A multi-hop distributed indoor localization algorithm for ultra-wide-band sensor network

Cited by 3 publications

References 9 publications

Ceiling-Vision-Based Mobile Object Self-Localization: A Composite Framework

Ceiling-Vision-Based Mobile Object Self-Localization: A Composite Framework

A Novel Framework for Supporting Mobile Object Self-Localization via Emerging Artificial Intelligence Tools

An Innovative Monocular Mobile Object Self-localization Approach Based on Ceiling Vision

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