Robotic subsea exploration technologies

Projektinformationen

ROBUST

ID Finanzhilfevereinbarung: 690416

DOI 10.3030/690416

Abgeschlossenes Projekt

Startdatum 1 Dezember 2015

Enddatum 31 Januar 2020

Finanziert unter

• SOCIETAL CHALLENGES - Climate action, Environment, Resource Efficiency and Raw Materials

Gesamtkosten € 5 986 722,50

EU-Beitrag € 5 986 722,50

Koordiniert durch

TWI LIMITED
United Kingdom

Leistungen

Documents, reports (8)

3D sea bed mapping, target identification and volume measurement

Report on the 3D sea bed mapping, target identification and volume measurement

Operational requirements of the AUV

Report on the operational requirements of the AUV

Detailed market rollout Plan

Detailed market rollout Plan

Assessment of the sea bed mining geology and characteristics

Report detailing assessment of the sea bed mining geology and characteristics

Operational requirements of the arm

Report on the operational requirements of the arm

Requirements for LIBS operation in 6000 m sea depth

Report on the requirements for LIBS operation in 6000 m sea depth

Detailed Dissemination Plan

Detailed Dissemination Plan

Exploitation Plan

Exploitation Plan

Websites, patent fillings, videos etc. (2)

Project Newsletter

Production of periodic project newsletters

Project Website

Creation and regular periodic updates of the Project Website

Veröffentlichungen

Peer reviewed articles (2)

Scale Accuracy Evaluation of Image-Based 3D Reconstruction Strategies Using Laser Photogrammetry

Autoren: Klemen Istenič, Nuno Gracias, Aurélien Arnaubec, Javier Escartín, Rafael Garcia
Veröffentlicht in: Remote Sensing, Issue 11/18, 2019, Page(s) 2093, ISSN 2072-4292
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs11182093

Automatic scale estimation of structure from motion based 3D models using laser scalers in underwater scenarios

Autoren: Klemen Istenič, Nuno Gracias, Aurélien Arnaubec, Javier Escartín, Rafael Garcia
Veröffentlicht in: ISPRS Journal of Photogrammetry and Remote Sensing, Issue 159, 2020, Page(s) 13-25, ISSN 0924-2716
Herausgeber: Elsevier BV
DOI: 10.1016/j.isprsjprs.2019.10.007