Výsledky vyhledávání - "ROV navigation"

Akademický článek

An Alignment Method for the Integration of Underwater 3D Data Captured by a Stereovision System and an Acoustic Camera

Autor: Antonio Lagudi, Gianfranco Bianco, Maurizio Muzzupappa, Fabio Bruno

Publikováno v: Sensors, Vol 16, Iss 4, p 536 (2016)

The integration of underwater 3D data captured by acoustic and optical systems is a promising technique in various applications such as mapping or vehicle navigation. It allows for compensating the drawbacks of the low resolution of acoustic sensors

Externí odkaz: https://doaj.org/article/55341f2ea8a645b68e283ed6c1ab5709

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An Alignment Method for the Integration of Underwater 3D Data Captured by a Stereovision System and an Acoustic Camera

Autor: Maurizio Muzzupappa, Fabio Bruno, Antonio Lagudi, Gianfranco Bianco

Publikováno v: Sensors, Vol 16, Iss 4, p 536 (2016)
Sensors (Basel, Switzerland)
Sensors; Volume 16; Issue 4; Pages: 536

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::950f0878c91727fd7beb72ae02d6715b
http://www.mdpi.com/1424-8220/16/4/536

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Comparing region-based and feature-based methods for ROV vision-based motion estimation

Autor: Massimo Caccia, Gabriele Bruzzone, Fausto Ferreira, Gianmarco Veruggio

Publikováno v: IFAC Conference on Manoeuvring and Control of Marine Craft (MCMC 2012), pp. 91–96, Arenzano, Italy, September 2012
info:cnr-pdr/source/autori:Ferreira, Fausto; Veruggio, Gianmarco; Caccia, Massimo; Bruzzone, Gabriele/congresso_nome:IFAC Conference on Manoeuvring and Control of Marine Craft (MCMC 2012)/congresso_luogo:Arenzano, Italy/congresso_data:September 2012/anno:2012/pagina_da:91/pagina_a:96/intervallo_pagine:91–96

In this work, a comparison between different region-based and feature-based techniques used to estimate the motion of an underwater Remotely Operated Vehicle (ROV) is performed. In what respects region-based detectors, the article compares a previous

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fb1cb42adc850fcf20e3ed85bca82fe
https://doi.org/10.3182/20120919-3-it-2046.00016

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A Dummy Active Resistance to Transmit the Navigational Parameters of an ROV

Autor: A. Nazema, Mohd Rizal Arshad

Publikováno v: Procedia Engineering. 41:175-181

The task of monitoring the systemic parameters of an ROV requires a reliable and robust communication platform. The optical data transmission which is the most practical method for long range communication in ROV application has multiple inherent dra

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d799f272fc6b08373c1a760ac730da2
https://doi.org/10.1016/j.proeng.2012.07.159

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A comparison between different feature-based methods for ROV vision-based speed estimation

Autor: Massimo Caccia, Fausto Ferreira, Gianmarco Veruggio, Giorgio Bruzzone

Publikováno v: IFAC Workshop on Navigation, Guidance and Control of Underwater Vehicles (NGCUV'2012), pp. 325–330, Oporto, Portugal, April 2012
info:cnr-pdr/source/autori:Ferreira, Fausto; Veruggio, Gianmarco; Caccia, Massimo; Bruzzone, Gabriele/congresso_nome:IFAC Workshop on Navigation, Guidance and Control of Underwater Vehicles (NGCUV'2012)/congresso_luogo:Oporto, Portugal/congresso_data:April 2012/anno:2012/pagina_da:325/pagina_a:330/intervallo_pagine:325–330
Scopus-Elsevier

A comparison study between different state-of-the-art visual approaches for estimating the motion of an underwater Remotely Operated Vehicle (ROV) is performed. The paper compares five different techniques: the template correlation, Speeded Up Robust

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cdfa85312f1aa4ac507dbf6d233fe38d
https://publications.cnr.it/doc/308264

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Conference

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Akademický článek

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Comparison between feature-based and phase correlation methods for ROV vision-based speed estimation

Autor: Massimo Caccia, P. Pavlakis, Giorgio Bruzzone, Fausto Ferreira, Gianmarco Veruggio, Francesco Orsenigo

Publikováno v: Scopus-Elsevier
7th Symposium on Intelligent Autonomous Vehicles (IAV 2010), pp. 1–6, Lecce, Italy, 6-8 September 2010
info:cnr-pdr/source/autori:Ferreira, F.; Orsenigo, F.; Veruggio, G.; Pavlakis, P.; Caccia, M.; Bruzzone, G./congresso_nome:7th Symposium on Intelligent Autonomous Vehicles (IAV 2010)/congresso_luogo:Lecce, Italy/congresso_data:6-8 September 2010/anno:2010/pagina_da:1/pagina_a:6/intervallo_pagine:1–6

The performance of different visual approaches for estimating the motion of an underwater Remotely Operated Vehicle (ROV) is discussed. The paper compares three different techniques: feature correlation, Speeded Up Robust Features (SURF), both based

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6bfe1d0869e324af720bcfbbfa89d07
http://www.scopus.com/inward/record.url?eid=2-s2.0-80051972520&partnerID=MN8TOARS

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