A Novel Remote Visual Inspection System for Bridge Predictive Maintenance
Predictive maintenance on infrastructures is currently a hot topic. Its importance is proportional to the damages resulting from the collapse of the infrastructure. Bridges, dams and tunnels are placed on top on the scale of severity of potential damages due to the fact that they can cause loss of l...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-05-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/14/9/2248 |
| _version_ | 1797502962351734784 |
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| author | Alessandro Galdelli Mariapaola D’Imperio Gabriele Marchello Adriano Mancini Massimiliano Scaccia Michele Sasso Emanuele Frontoni Ferdinando Cannella |
| author_facet | Alessandro Galdelli Mariapaola D’Imperio Gabriele Marchello Adriano Mancini Massimiliano Scaccia Michele Sasso Emanuele Frontoni Ferdinando Cannella |
| author_sort | Alessandro Galdelli |
| collection | DOAJ |
| description | Predictive maintenance on infrastructures is currently a hot topic. Its importance is proportional to the damages resulting from the collapse of the infrastructure. Bridges, dams and tunnels are placed on top on the scale of severity of potential damages due to the fact that they can cause loss of lives. Traditional inspection methods are not objective, tied to the inspector’s experience and require human presence on site. To overpass the limits of the current technologies and methods, the authors of this paper developed a unique new concept: a remote visual inspection system to perform predictive maintenance on infrastructures such as bridges. This is based on the fusion between advanced robotic technologies and the Automated Visual Inspection that guarantees objective results, high-level of safety and low processing time of the results. |
| first_indexed | 2024-03-10T03:43:40Z |
| format | Article |
| id | doaj.art-27eebebfb3ba44b49fe8fa8c7b2e634a |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T03:43:40Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-27eebebfb3ba44b49fe8fa8c7b2e634a2023-11-23T09:12:53ZengMDPI AGRemote Sensing2072-42922022-05-01149224810.3390/rs14092248A Novel Remote Visual Inspection System for Bridge Predictive MaintenanceAlessandro Galdelli0Mariapaola D’Imperio1Gabriele Marchello2Adriano Mancini3Massimiliano Scaccia4Michele Sasso5Emanuele Frontoni6Ferdinando Cannella7VRAI Lab, Dipartimento di Ingegneria dell’Informazione, Università Politecnica delle Marche, 60131 Ancona, ItalyIndustrial Robotics Facility, Istituto Italiano di Tecnologia, 16163 Genoa, ItalyIndustrial Robotics Facility, Istituto Italiano di Tecnologia, 16163 Genoa, ItalyVRAI Lab, Dipartimento di Ingegneria dell’Informazione, Università Politecnica delle Marche, 60131 Ancona, ItalyIndustrial Robotics Facility, Istituto Italiano di Tecnologia, 16163 Genoa, ItalyUbisive Srl, 62012 Civitanova Marche, ItalyDepartment of Political Sciences, Communication and International Relations, University of Macerata, 62100 Macerata, ItalyIndustrial Robotics Facility, Istituto Italiano di Tecnologia, 16163 Genoa, ItalyPredictive maintenance on infrastructures is currently a hot topic. Its importance is proportional to the damages resulting from the collapse of the infrastructure. Bridges, dams and tunnels are placed on top on the scale of severity of potential damages due to the fact that they can cause loss of lives. Traditional inspection methods are not objective, tied to the inspector’s experience and require human presence on site. To overpass the limits of the current technologies and methods, the authors of this paper developed a unique new concept: a remote visual inspection system to perform predictive maintenance on infrastructures such as bridges. This is based on the fusion between advanced robotic technologies and the Automated Visual Inspection that guarantees objective results, high-level of safety and low processing time of the results.https://www.mdpi.com/2072-4292/14/9/2248bridge monitoringvisual inspectionmulti-camera systemautonomous robotsartificial intelligence |
| spellingShingle | Alessandro Galdelli Mariapaola D’Imperio Gabriele Marchello Adriano Mancini Massimiliano Scaccia Michele Sasso Emanuele Frontoni Ferdinando Cannella A Novel Remote Visual Inspection System for Bridge Predictive Maintenance Remote Sensing bridge monitoring visual inspection multi-camera system autonomous robots artificial intelligence |
| title | A Novel Remote Visual Inspection System for Bridge Predictive Maintenance |
| title_full | A Novel Remote Visual Inspection System for Bridge Predictive Maintenance |
| title_fullStr | A Novel Remote Visual Inspection System for Bridge Predictive Maintenance |
| title_full_unstemmed | A Novel Remote Visual Inspection System for Bridge Predictive Maintenance |
| title_short | A Novel Remote Visual Inspection System for Bridge Predictive Maintenance |
| title_sort | novel remote visual inspection system for bridge predictive maintenance |
| topic | bridge monitoring visual inspection multi-camera system autonomous robots artificial intelligence |
| url | https://www.mdpi.com/2072-4292/14/9/2248 |
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