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ROBotic System with Intelligent Vision and Control for Tunnel Structural INSPECTion and Evaluation

ROBotic System with Intelligent Vision and Control for Tunnel Structural INSPECTion and Evaluation

Objective

The latest developments in robotics and the associated fields of computer vision and sensors open the floor for automated robotic solutions, exploitable in the near to medium term in the field of inspection of the civil infrastructure in general and transportation tunnel infrastructure in particular. The latter infrastructure is ageing urgently requiring inspection and assessment. Presently, inspection is mostly performed through tunnel wide visual observations by inspectors. This process is slow, labour intensive, expensive, subjective and often requiring lane shutdown during inspection at a time of limited budgets and inspector resources and heightened requirements for safety and maximum tunnel uptime. ROBINSPECT, driven by the tunnel inspection industry, adapts and integrates recent research results in intelligent control in robotics, computer vision tailored with semi-supervised and active continuous learning and sensing, in an innovative, integrated, robotic system that automatically scans the intrados for potential defects on the surface and detects and measures radial deformation in the cross-section, distance between parallel cracks, cracks and open joints that impact tunnel stability, with mm accuracies. This permits, in one pass, both the inspection and structural assessment of tunnels. Intelligent control and robotics tools are interwoven to set an automatic robotic arm manipulation and an autonomous vehicle navigation so as to minimize humans' interaction. This way, the structural condition and safety of a tunnel is assessed automatically, reliably and speedily. The initial dataset on tunnel defects is provided from case studies (e.g., from London Underground) to be used not only for transfer learning but also for the evaluation of the structural models. The robotic system is evaluated and benchmarked at the research infrastructure of tunnels of VSH, at three road tunnels of the Egnatia Motorway and sections of the railway tunnel of London Post Office.
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Coordinator

INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS

Address

Patission Str. 42
10682 Athina

Greece

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 565 645

Administrative Contact

Yannis Vassiliou (Prof.)

Participants (10)

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VSH HAGERBACH TEST GALLERY LTD

Switzerland

EU Contribution

€ 231 900

RISA SICHERHEITSANALYSEN GMBH

Germany

EU Contribution

€ 254 087

UNIVERSIDAD CARLOS III DE MADRID

Spain

EU Contribution

€ 405 330

ROBOTNIK AUTOMATION SLL

Spain

EU Contribution

€ 313 575

ECOLE NATIONALE DES PONTS ET CHAUSSEES

France

EU Contribution

€ 376 256

AIRBUS DS SAS

France

EU Contribution

€ 408 265

EGNATIA ODOS AE

Greece

EU Contribution

€ 120 000

D. MPAIRAKTARIS KAI SYNERGATES-GRAFEION TECHNIKON MELETON ETAIREIA PERIORISMENIS EFTHYNIS

Greece

EU Contribution

€ 181 128

T.E.C.N.I.C. TECNICHE E CONSULENZENELL'INGEGNERIA CIVILE-CONSULTING ENGINEERS-SPA

Italy

EU Contribution

€ 184 240

CONSIGLIO NAZIONALE DELLE RICERCHE

Italy

EU Contribution

€ 259 574

Project information

Grant agreement ID: 611145

Status

Closed project

  • Start date

    1 October 2013

  • End date

    30 September 2016

Funded under:

FP7-ICT

  • Overall budget:

    € 4 775 531

  • EU contribution

    € 3 300 000

Coordinated by:

INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS

Greece