Sacks, R;
Kedar, A;
Borrmann, A;
Ma, L;
Singer, D;
Kattel, U;
(2016)
SeeBridge information delivery manual (IDM) for next generation bridge inspection.
In: Sattineni, A, (ed.)
Proceedings of the 33rd International Symposium for Automation and Robotics in Construction (ISARC 2016).
(pp. pp. 826-834).
IAARC (The International Association for Automation and Robotics in Construction): Auburn, AL, USA.
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Abstract
Innovative solutions for rapid and intelligent survey and assessment methods are required in maintenance, repair, retrofit and rebuild of enormous numbers of bridges in service throughout the world. Motivated by this need, a next-generation integrated bridge inspection system named SeeBridge is proposed. To frame the system, an Information Delivery Manual (IDM) was compiled to specify the technical components, activities and information exchanges in the SeeBridge process. The IDM supports development of the system by rigorously defining the information and data repositories that structure bridge engineers' knowledge. The SeeBridge process is mapped, parts of the data repositories are presented and the future use of the IDM is discussed.
Type: | Proceedings paper |
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Title: | SeeBridge information delivery manual (IDM) for next generation bridge inspection |
Event: | 33rd international symposium for automation and robotics in construction (ISARC 2016), 18-21 July 2016, Auburn, AL, USA |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.22260/ISARC2016/0100 |
Publisher version: | https://doi.org/10.22260/ISARC2016/0100 |
Language: | English |
Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Information Delivery Manual, Bridge inspection, Building Information Modelling, Semantic enrichment, Remote sensing. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10083741 |
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