Cargando…

Relative Pose Based Redundancy Removal: Collaborative RGB-D Data Transmission in Mobile Visual Sensor Networks

In this paper, the Relative Pose based Redundancy Removal (RPRR) scheme is presented, which has been designed for mobile RGB-D sensor networks operating under bandwidth-constrained operational scenarios. The scheme considers a multiview scenario in which pairs of sensors observe the same scene from...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Xiaoqin, Şekercioğlu, Y. Ahmet, Drummond, Tom, Frémont, Vincent, Natalizio, Enrico, Fantoni, Isabelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111618/
https://www.ncbi.nlm.nih.gov/pubmed/30049979
http://dx.doi.org/10.3390/s18082430
_version_ 1783350691703554048
author Wang, Xiaoqin
Şekercioğlu, Y. Ahmet
Drummond, Tom
Frémont, Vincent
Natalizio, Enrico
Fantoni, Isabelle
author_facet Wang, Xiaoqin
Şekercioğlu, Y. Ahmet
Drummond, Tom
Frémont, Vincent
Natalizio, Enrico
Fantoni, Isabelle
author_sort Wang, Xiaoqin
collection PubMed
description In this paper, the Relative Pose based Redundancy Removal (RPRR) scheme is presented, which has been designed for mobile RGB-D sensor networks operating under bandwidth-constrained operational scenarios. The scheme considers a multiview scenario in which pairs of sensors observe the same scene from different viewpoints, and detect the redundant visual and depth information to prevent their transmission leading to a significant improvement in wireless channel usage efficiency and power savings. We envisage applications in which the environment is static, and rapid 3D mapping of an enclosed area of interest is required, such as disaster recovery and support operations after earthquakes or industrial accidents. Experimental results show that wireless channel utilization is improved by 250% and battery consumption is halved when the RPRR scheme is used instead of sending the sensor images independently.
format Online
Article
Text
id pubmed-6111618
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-61116182018-08-30 Relative Pose Based Redundancy Removal: Collaborative RGB-D Data Transmission in Mobile Visual Sensor Networks Wang, Xiaoqin Şekercioğlu, Y. Ahmet Drummond, Tom Frémont, Vincent Natalizio, Enrico Fantoni, Isabelle Sensors (Basel) Article In this paper, the Relative Pose based Redundancy Removal (RPRR) scheme is presented, which has been designed for mobile RGB-D sensor networks operating under bandwidth-constrained operational scenarios. The scheme considers a multiview scenario in which pairs of sensors observe the same scene from different viewpoints, and detect the redundant visual and depth information to prevent their transmission leading to a significant improvement in wireless channel usage efficiency and power savings. We envisage applications in which the environment is static, and rapid 3D mapping of an enclosed area of interest is required, such as disaster recovery and support operations after earthquakes or industrial accidents. Experimental results show that wireless channel utilization is improved by 250% and battery consumption is halved when the RPRR scheme is used instead of sending the sensor images independently. MDPI 2018-07-26 /pmc/articles/PMC6111618/ /pubmed/30049979 http://dx.doi.org/10.3390/s18082430 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Xiaoqin
Şekercioğlu, Y. Ahmet
Drummond, Tom
Frémont, Vincent
Natalizio, Enrico
Fantoni, Isabelle
Relative Pose Based Redundancy Removal: Collaborative RGB-D Data Transmission in Mobile Visual Sensor Networks
title Relative Pose Based Redundancy Removal: Collaborative RGB-D Data Transmission in Mobile Visual Sensor Networks
title_full Relative Pose Based Redundancy Removal: Collaborative RGB-D Data Transmission in Mobile Visual Sensor Networks
title_fullStr Relative Pose Based Redundancy Removal: Collaborative RGB-D Data Transmission in Mobile Visual Sensor Networks
title_full_unstemmed Relative Pose Based Redundancy Removal: Collaborative RGB-D Data Transmission in Mobile Visual Sensor Networks
title_short Relative Pose Based Redundancy Removal: Collaborative RGB-D Data Transmission in Mobile Visual Sensor Networks
title_sort relative pose based redundancy removal: collaborative rgb-d data transmission in mobile visual sensor networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111618/
https://www.ncbi.nlm.nih.gov/pubmed/30049979
http://dx.doi.org/10.3390/s18082430
work_keys_str_mv AT wangxiaoqin relativeposebasedredundancyremovalcollaborativergbddatatransmissioninmobilevisualsensornetworks
AT sekerciogluyahmet relativeposebasedredundancyremovalcollaborativergbddatatransmissioninmobilevisualsensornetworks
AT drummondtom relativeposebasedredundancyremovalcollaborativergbddatatransmissioninmobilevisualsensornetworks
AT fremontvincent relativeposebasedredundancyremovalcollaborativergbddatatransmissioninmobilevisualsensornetworks
AT natalizioenrico relativeposebasedredundancyremovalcollaborativergbddatatransmissioninmobilevisualsensornetworks
AT fantoniisabelle relativeposebasedredundancyremovalcollaborativergbddatatransmissioninmobilevisualsensornetworks