Publication
Laying Ground for Automated Manhole Inspection – a Review
| dc.contributor.author | Jorge, Filipe | |
| dc.contributor.author | Costelha, Hugo | |
| dc.contributor.author | Neves, Carlos | |
| dc.date.accessioned | 2020-07-08T15:03:58Z | |
| dc.date.available | 2020-07-08T15:03:58Z | |
| dc.date.issued | 2019-11-07 | |
| dc.description | Artigo de livro: Sustainability and Automation in Smart Constructions Proceedings of the International Conference on Automation Innovation in Construction (CIAC-2019), Leiria, Portugal | pt_PT |
| dc.description.abstract | Although advances have been made in reducing the time needed for manhole inspection, the procedure is still mostly done manually, with workers having to enter and visually assess the areas being inspected. There is also a growing need to have these structures inspected regularly, in order to prevent casualties and services interruption, as well as the higher cost of rebuilding instead of repairing these structures, which is possible only if pathologies are identified at early stages. This situation renders the task a good target for automation. This paper reviews a set of existing manhole, tunnel and duct inspection systems to ascertain the main features required for the task, as well as the technologies currently used. Most of the present-day solutions are rather expensive and cumbersome, requiring the deployment of relatively heavy equipment and specialized personnel to operate them. With the recent development of laser range sensors and depth (RGBD) cameras with small form factors and weights, the development of solutions with higher portability and lower cost become feasible. Such a solution could improve considerably the rate at which manholes are inspected, and the technology could be used to generate textured models to be analyzed and reported by a remotely located specialist, both online and offline. The work presented here lays the ground for the development of such a system in our research group who has been working on low-cost systems for the generation of 3D textured models for automated inspection. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.doi | 10.1007/978-3-030-35533-3 | pt_PT |
| dc.identifier.isbn | 978-3-030-35533-3 | |
| dc.identifier.isbn | 978-3-030-35532-6 | |
| dc.identifier.issn | 2522-8714 | |
| dc.identifier.uri | http://hdl.handle.net/10400.8/5002 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Springer | pt_PT |
| dc.relation.publisherversion | https://www.springer.com/de/book/9783030355326#otherversion=9783030355333 | pt_PT |
| dc.subject | 3D modelling | pt_PT |
| dc.subject | Manhole-and-duct-inspection | pt_PT |
| dc.subject | Robotics | pt_PT |
| dc.title | Laying Ground for Automated Manhole Inspection – a Review | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.conferencePlace | Leiria, Portugal | pt_PT |
| oaire.citation.title | Sustainability and Automation in Smart Constructions - Proceedings of the International Conference on Automation Innovation in Construction (CIAC-2019), Leiria, Portugal | pt_PT |
| person.familyName | Costelha | |
| person.givenName | Hugo | |
| person.identifier.ciencia-id | 931E-2249-DBA3 | |
| person.identifier.orcid | 0000-0003-0063-8592 | |
| person.identifier.rid | V-4722-2017 | |
| person.identifier.scopus-author-id | 24775187600 | |
| rcaap.rights | closedAccess | pt_PT |
| rcaap.type | article | pt_PT |
| relation.isAuthorOfPublication | f45387c3-8889-4588-9808-d2bcd2d5848d | |
| relation.isAuthorOfPublication.latestForDiscovery | f45387c3-8889-4588-9808-d2bcd2d5848d |
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