GIS-BASED INFRASTRUCTURE MANAGEMENT SYSTEM FOR OPTIMIZED RESPONSE TO EXTREME EVENTS OF TERRESTRIAL TRANSPORT NETWORKS

Leistungen

Update of the second version of the Training Plan

Report on definitions of the principle mechanisms how to interface the different monitoring systems into the IMS platform both from large scale vehicle monitoring systems as well as from more experimental data extracting methods utilising vehicle ADAS functions found in the analysis of the state of the art.

Report on (future) standardization activities of the IMS V1

This report includes a summary of the activities developed and outcome of task T10.2.

Data Management Plan (DPM) V4

Fourth update of the DMP

Adaptation needs of linear infrastructures and proposed construction systems

Report on the Task 82

Vulnerability and resilience factors

This report includes de evaluation of dimensioning physical vulnerability factors and resilience factors for each demonstration site. Consequences evaluated with available databases, such as CARE on road accidents and accessible databases from Safeway stakeholders. Vulnerability projections will provide input into WP 5. Task 2.2.

Individual (4x) test & demo sites validated including updated values of KPI

This report summarized all the validation activities in task 91 and the main conclusions obtained after the demonstration to stakeholders Moreover the KPI stabilised and their calculated values before and after SAFEWAY will be provided in this report

Impact evaluation of man-made hazards on diverse infrastructure types

Report with the identification of physical vulnerability factors and their thresholds. The report must include the list of factors and qualitative/quantitative relevant thresholds. This report will be relevant for the impact assessment of the threats identified in Task 2.2.

Report on (future) standardization activities of the IMS V2

Second update of the summary of the activities developed and outcome of task T10.2.

Report with description of dynamic risk-based predictive models developed

It will be provided a report which addresses an overview of the most common predictive models for transportation infrastructures deterministic and stochastic and a description of dynamic riskbased predictive models which will address timevarying consequence models In such description the report must include their inputs outputs and main functionsReport with a description of the developed models including their inputs outputs main functions etc

Report on Legal and Normative framework

Legal and normative framework review

Data Management Plan (DPM) V1

The DPM comprises the provision for making the project data findable, accessible, interoperable and reusable. It also includes the report of the Ethics mentor. This deliveable is the first version.

Report on (future) standardization activities of the IMS V3

This report includes a summary of the activities developed and outcome of task T102

Dissemination and Communication Plan V1

It comprises objectives, toolkit and planned activities, identifying audiences and the key message that the consortium intends to deliver to meet the defined objectives The DCP will be revised and updated during the project duration.

Quality Assurance Plan

It will define the rules for preparing the deliverables and the ways of verification that will be implemented in the project before final internal validation and submission to the EC/Agency. This plan will be used by the Project Technical Committee (PTC) as guidelines to evaluate the content of the technical deliverables and to ensure the technical quality of the project outcomes.

Training plan V1

Report comprising the elaboration of suitable material for training and technology transfer and organization of the specific training activities.

Report on lessons from sociotechnical systems analysis and practical recommendations for IMS information content

Report with state of the art of risk tolerances and psychological states, sociotechnical systems analysis of extreme events and recommendations on IMS content, structure and communication channels. Success equals quality assured report issued by M30.

Training plan V2

Update of the first version of the Training Plan.

GIS map and identification of hot spots of sudden extreme natural hazard events, including database with Impact and Return Periods.

Report with comprehensive review and evaluation of existing European and national databases on weather and natural hazards to establish the evidence base of dynamic risk maps of ‘hot spots’ of extreme weather conditions and related natural hazards. Identify and assess return periods of the predominant extreme weather conditions for the demonstration site regions.. Delivery to WP6 for implementation. Resulting from the Task 2.1.

Report on the decision support system

The aim of the deliverable is to present the frameworks for medium to longterm and shortterm maintenance planning for facing extreme event scenarios Tasks 62 and 63 with related decisionmaking toolbox The presented methodology with slight adaptations will be ready for implementation in the SAFEWAY IMS

Data acquisition report

Report about remote sensing platforms required for the multiscale data acquisition of inland transport networks. Resulted from Task 3.1.

Data Management Plan (DPM) V2

Second version of the Data Management Plan.

Data Management Plan (DPM) V3

Third revision of the DMP.

Dissemination and Communication Plan V3

Update of the second version of the Dissemination and Communication Plan

Techno-economical evaluation of SAFEWAY concepts for terrestrial transport network

In every pilot demonstration activities results will be translated to technoeconomic figures using a set of parameters to carryout a comparison with regard to traditional methods These results will be delivered as a report

Dissemination and Communication Plan V2

Update of the first version of the Dissemination and Communication Plan.

Emergency Management Plan

The Task 8.1 corresponds to the development of an effective Emergency Management Plan for linear infrastructures. This emergency plan will include specific short term actions taking into account not only hazardous natural events but also man-made events. In addition, this task will be based on the outcomes of previous tasks where the potential risks have been identified, monitored and quantified. Moreover, it is expected the participation of other stakeholders related to emergency events such as National Civil Protection Authorities (Spain and Portugal), Spanish Centre for Critical Infrastructures, and similar agencies in the UK, Italy and other countries.

Schema of the SAFEWAY Infrastructure Information Model feeding the Infrastructure Management System

Conceptual model and UML Diagram of the Infrastructure Information Model adopted for SAFEWAY, including a report about data feeding from geospatial data to be explored in SAFEWAY.

Operational spatial database

Design configuration and implementation of spatial database directly connected with the SAFEWAY platform

Messaging & dashboard applications

Executable messaging and dashboard applications following the established functional requirements within the context of the Task 74

SAFEWAY Website

The SAFEWAY Website will comprise a public site and a private members’ area as a tool to ease the collaboration between partners and to share information. To be updated every three months, and a private members’ area.

Veröffentlichungen

Reliability-based assessment of a masonry arch bridge under flood events

Autoren: Carlos Andres Mendoza Cabanzo, Monica Santamaria, Helder Sousa, Jose Campos Matos
Veröffentlicht in: Compdyn2021, 2021, ISBN 978-618-85072-4-1
Herausgeber: Compdyn2021
DOI: 10.7712/120121.8717.18601

Predicting Bridge Elements Deterioration, using Collaborative Gaussian Process Regression

Autoren: Maharshi Dhada, Georgios M. Hadjidemetriou, Ajih Parlikad
Veröffentlicht in: 4th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies, 2020
Herausgeber: Institute for Manufacturing (IfM), Cambridge University
DOI: 10.17863/cam.54460

SEMANTIC SEGMENTATION OF POINT CLOUDS WITH POINTNET AND KPCONV ARCHITECTURES APPLIED TO RAILWAY TUNNELS

Autoren: M. Soilán, A. Nóvoa, A. Sánchez-Rodríguez, B. Riveiro, P. Arias
Veröffentlicht in: ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, Ausgabe V-2-2020, 2020, Seite(n) 281-288, ISSN 2194-9050
Herausgeber: In: Proceedings of the ISPRS Geospatial Week 2020
DOI: 10.5194/isprs-annals-V-2-2020-281-2020

The indirect impact of flooding on the road transport network: A case study of Santarém region in Portugal

Autoren: Fereshte Jafari, Mónica Santamaria-Ariza, Mário R. F. Coelho, Helder Sousa
Veröffentlicht in: Proceedings of the 31st European Safety and Reliability Conference (ESREL 2021), 2021, ISBN 978-981-18-2016-8
Herausgeber: 31st Esrel
DOI: 10.3850/978-981-18-2016-8_591-cd

NEW ALGORITHM FOR THE MERGING OF GEOMETRIC ENTITIES TOWARDS THE CORRECT GENERATION OF SEMANTIC gbXML MODELS

Autoren: R. Otero, S. Lagüela, P. Arias
Veröffentlicht in: ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Ausgabe XLIII-B1-2020, 2020, Seite(n) 265-270, ISSN 2194-9034
Herausgeber: In: Proceedings of the ISPRS Geospatial Week 2020
DOI: 10.5194/isprs-archives-XLIII-B1-2020-265-2020

Risk Assessment of Road Infrastructures as Key for Adaptability Measures Selection

Autoren: Erica L. ArangoHélder S. SousaJosé C. Matos
Veröffentlicht in: International Probabilistic Workshop, 2021, ISBN 978-3-030-73615-6
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-73616-3_52

Impact evaluation of human-made hazards on terrestrial transport infrastructure assets: modelling variables and failure modes

Autoren: Neryvaldo Galvão, Helder Sousa, Jose Campos Matos
Veröffentlicht in: IABSE Congress Ghent 2021, 2021
Herausgeber: IABSE2021 Ghent
DOI: 10.2749/ghent.2021.1847

Predictive group maintenance for networks of bridges, based on condition and criticality analysis

Autoren: Georgios M. Hadjidemetriou Manuel Herrera Ajith K. Parlikad
Veröffentlicht in: 23rd EURO Working Group on Transportation Meeting, EWGT 2020, 2020
Herausgeber: 23rd EURO Working Group on Transportation Meeting, EWGT 2020

POINT CLOUD ROOM SEGMENTATION BASED ON INDOOR SPACES AND 3D MATHEMATICAL MORPHOLOGY

Autoren: E. Frias, J. Balado, L. Díaz-Vilariño, H. Lorenzo
Veröffentlicht in: ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, Ausgabe XLIV-4/W1-2020, 2020, Seite(n) 49-55, ISSN 2194-9050
Herausgeber: In: Proceedings of the ISPRS Geospatial Week 2020
DOI: 10.5194/isprs-archives-xliv-4-w1-2020-49-2020

AUTOMATIC DETECTION AND CHARACTERIZATION OF GROUND OCCLUSIONS IN URBAN POINT CLOUDS FROM MOBILE LASER SCANNING DATA

Autoren: J. Balado, E. González, E. Verbree, L. Díaz-Vilariño, H. Lorenzo
Veröffentlicht in: ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, Ausgabe VI-4/W1-2020, 2020, Seite(n) 13-20, ISSN 2194-9050
Herausgeber: In: Proceedings of the ISPRS Geospatial Week 2020
DOI: 10.5194/isprs-annals-vi-4-w1-2020-13-2020

Road Network Layout Planning based on Evaluation of Connectivity and Asset Criticality

Autoren: Hadjidemetriou, G., Herrera Fernandez, M. H., & Parlikad, A.
Veröffentlicht in: 2021 European Conference on Computing in Construction, 2021
Herausgeber: Apollo
DOI: 10.17863/cam.66680

POINT CLOUDS TO DIRECT INDOOR PEDESTRIAN PATHFINDING

Autoren: J. Balado, L. Díaz-Vilariño, P. Arias, E. Frías
Veröffentlicht in: ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Ausgabe XLII-2/W13, 2019, Seite(n) 753-759, ISSN 2194-9034
Herausgeber: In: Proceedings of the ISPRS Geospatial Week 2019
DOI: 10.5194/isprs-archives-xlii-2-w13-753-2019

POINTNET FOR THE AUTOMATIC CLASSIFICATION OF AERIAL POINT CLOUDS

Autoren: M. Soilán, R. Lindenbergh, B. Riveiro, A. Sánchez-Rodríguez
Veröffentlicht in: ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, Ausgabe IV-2/W5, 2019, Seite(n) 445-452, ISSN 2194-9050
Herausgeber: In: Proceedings of the ISPRS Geospatial Week 2019
DOI: 10.5194/isprs-annals-iv-2-w5-445-2019

FIRST APPROACH TO UAV-BASED CONTACT INSPECTION: A SMART PAYLOAD FOR NAVIGATION IN THE NEIGHBOURHOOD OF STRUCTURES

Autoren: L. M. González-de Santos, J. Martínez-Sánchez, H. González-Jorge, A. Novo, P. Arias
Veröffentlicht in: ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Ausgabe XLII-2/W13, 2019, Seite(n) 323-328, ISSN 2194-9034
Herausgeber: ISPRS
DOI: 10.5194/isprs-archives-XLII-2-W13-323-2019

AUTOMATIC DETECTION OF FOREST-ROAD DISTANCES TO IMPROVE CLEARING OPERATIONS IN ROAD MANAGEMENT

Autoren: A. Novo, H. González-Jorge, J. Martínez-Sánchez, L. M. González-de Santos, H. Lorenzo
Veröffentlicht in: ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Ausgabe XLII-2/W13, 2019, Seite(n) 1083-1088, ISSN 2194-9034
Herausgeber: ISPRS
DOI: 10.5194/isprs-archives-XLII-2-W13-1083-2019

Mode Specific Evacuation Planning in Infrastructure Risk Management

Autoren: Ben Rutten; Stefan Bollars
Veröffentlicht in: IABSE Symposium 2019: Towards a Resilient Built Environment - Risk and Asset Management, 2019, Seite(n) 1050, ISBN 978-1-5108-8445-8
Herausgeber: IABSE Symposium 2019

Reliability analysis of a post-tensioned railway bridge exposed to corrosion effects

Autoren: Santamaría Ariza, Monica Patrícia; Sousa, Helder S.; Fernandes, Joao Nuno Duarte; Matos, José C.
Veröffentlicht in: IPW2019 17th International Probabilistic Workshop, 2019
Herausgeber: IPW2019

Applicability of Forensic Analysis Techniques on the Improvement of Early Warning Landslides Systems and Components

Autoren: Pedroni, Lincar; Cepeda, José Mauricio; Eidsvig, Unni
Veröffentlicht in: Proceedings of the XVI Pan-American Conference on Soil Mechanics and Geotechnical Engineering (XVI PCSMGE), 2019, Seite(n) 2620-2633, ISBN 978-1-64368-030-9
Herausgeber: Pan-American Conference on Soil Mechanics and Geotechnical Engineering
DOI: 10.3233/stal190333

Propagation of Visual Inspection on Timber Members through Bayesian Methods

Autoren: Sousa, Hélder S.; Sguazzo, Carmen; Matos, José C.; Branco, Jorge M.; Lourenço, Paulo B.
Veröffentlicht in: 13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13), 2019
Herausgeber: 13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13)
DOI: 10.22725/icasp13.481

Predicting the change of hydraulic loads on bridges: a case study in Italy with a 100-year database

Autoren: Pucci, Alessandro; Sousa, Hélder S.; Matos, José C.
Veröffentlicht in: IABSE Symposium Congress 2019, 2019, Seite(n) 443-448, ISBN 978-3-85748-165-9
Herausgeber: International Association for Bridge and Structural Engineering (IABSE)

3D point cloud data processing and infrastructure information models: Methods and findings from Safeway project

Autoren: Mario Soilán, Andrés Justo, Ana Sánchez-Rodríguez, Daniel Lamas, Belen Riveiro
Veröffentlicht in: XXIV ISPRS Congress, Ausgabe XLIII-B2-2021, 2021, ISSN 1682-1750
Herausgeber: ISPRS
DOI: 10.5194/isprs-archives-xliii-b2-2021-239-2021

Reliability-Based Bayesian Updating using Visual Inspections of Existing Bridges

Autoren: Erica Arango, Mónica Santamaria, Hélder S. Sousa, José C. Matos
Veröffentlicht in: Proceedings of the 1st Conference of the European Association on Quality Control of Bridges and Structures, 2021, ISBN 978-3-030-91876-7
Herausgeber: EUROSTRUCT 2021
DOI: 10.1007/978-3-030-91877-4_19

TRANSFER LEARNING FOR INDOOR OBJECT CLASSIFICATION: FROM IMAGES TO POINT CLOUDS

Autoren: J. Balado, L. Díaz-Vilariño, E. Verbree, P. Arias
Veröffentlicht in: ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, Ausgabe V-4-2020, 2020, Seite(n) 65-70, ISSN 2194-9050
Herausgeber: ISPRS Annals of Photogrammetry
DOI: 10.5194/isprs-annals-V-4-2020-65-2020

Risk management for bridges: a case study of unforeseen failure mode

Autoren: Pucci, Alessandro Sousa, Hélder S. Matos, José C. Puppio, Mario Lucio Giresini, Linda Sassu, Mauro
Veröffentlicht in: IABSE Conference – Risk Intelligence of Infrastructures, 2020
Herausgeber: International Association for Bridge and Structural Engineering (IABSE)

Automatic gbXML Modeling from LiDAR Data for Energy Studies

Autoren: Roi Otero, Ernesto Frías, Susana Lagüela, Pedro Arias
Veröffentlicht in: Remote Sensing, Ausgabe 12/17, 2020, Seite(n) 2679, ISSN 2072-4292
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs12172679

Automatic Detection of Surface Damage in Round Brick Chimneys by Finite Plane Modelling from Terrestrial Laser Scanning Point Clouds. Case Study of Bragança Dukes’ Palace, Guimarães, Portugal

Autoren: Jesús Balado, Lucía Díaz-Vilariño, Miguel Azenhab, Paulo B. Lourençob
Veröffentlicht in: International Journal of Architectural Heritage, 2021, ISSN 1558-3058
Herausgeber: Taylor and Francis
DOI: 10.1080/15583058.2021.1925779

Generation and Enrichment of Pedestrian Maps with Vertical Shadows in Urban Environments from Mobile Laser Scanning Data

Autoren: Jesús Balado Frías, Lucía Díaz-Vilariño, Ernesto Frías, Elena González
Veröffentlicht in: SURVEYING AND GEOSPATIAL ENGINEERING JOURNAL, Ausgabe 1(1), 14 - 20, 2020, ISSN 2710-0642
Herausgeber: Surveying and geospatial engineering journal
DOI: 10.38094/sgej114

The impact of government measures and human mobility trend on COVID-19 related deaths in the UK

Autoren: Georgios M. Hadjidemetriou, Manu Sasidharan, Georgia Kouyialis, Ajith K. Parlikad
Veröffentlicht in: Transportation Research Interdisciplinary Perspectives, Ausgabe 6, 2020, Seite(n) 100167, ISSN 2590-1982
Herausgeber: Elsevier B.V
DOI: 10.1016/j.trip.2020.100167

Risk Assessment of Terrestrial Transportation Infrastructures Exposed to Extreme Events

Autoren: Unni Eidsvig, Monica Santamaría, Neryvaldo Galvão, Nikola Tanasic, Luca Piciullo, Rade Hajdin, Farrokh Nadim, Hélder S. Sousa, José Matos.
Veröffentlicht in: Infrastructures, Ausgabe 6(11), 2021, ISSN 2412-3811
Herausgeber: Infrastructures
DOI: 10.3390/infrastructures6110163

IRT and GPR Techniques for Moisture Detection and Characterisation in Buildings

Autoren: Iván Garrido, Mercedes Solla, Susana Lagüela, Norberto Fernández
Veröffentlicht in: Sensors, Ausgabe 20/22, 2020, Seite(n) 6421, ISSN 1424-8220
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s20226421

3D Point Cloud to BIM: Semi-Automated Framework to Define IFC Alignment Entities from MLS-Acquired LiDAR Data of Highway Roads

Autoren: Mario Soilán, Andrés Justo, Ana Sánchez-Rodríguez, Belén Riveiro
Veröffentlicht in: Remote Sensing, Ausgabe 12/14, 2020, Seite(n) 2301, ISSN 2072-4292
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs12142301

Scan-to-BIM for the infrastructure domain: Generation of IFC-complaint models of road infrastructure assets and semantics using 3D point cloud data

Autoren: Andrés Justo Mario Soilán Ana Sánchez-Rodríguez Belén Riveiro
Veröffentlicht in: Automation in Construction, 2021, ISSN 0926-5805
Herausgeber: Elsevier BV
DOI: 10.1016/j.autcon.2021.103703

BARRIER AND GUARDRAIL EXTRACTION AND CLASSIFICATION FROM POINT CLOUDS

Autoren: M. Vidal, L. Díaz-Vilariño, P. Arias, J. Balado
Veröffentlicht in: ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Ausgabe XLIII-B5-2020, 2020, Seite(n) 157-162, ISSN 2194-9034
Herausgeber: In: Proceedings of the ISPRS Geospatial Week 2020
DOI: 10.5194/isprs-archives-XLIII-B5-2020-157-2020

Introduction of Deep Learning in Thermographic Monitoring of Cultural Heritage and Improvement by Automatic Thermogram Pre-Processing Algorithms

Autoren: Iván Garrido, Jorge Erazo-Aux, Susana Lagüela, Stefano Sfarra, Clemente Ibarra-Castanedo, Elena Pivarčiová, Gianfranco Gargiulo, Xavier Maldague, Pedro Arias
Veröffentlicht in: Sensors, Ausgabe 21/3, 2021, Seite(n) 750, ISSN 1424-8220
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21030750

Disturbance Analysis in the Classification of Objects Obtained from Urban LiDAR Point Clouds with Convolutional Neural Networks

Autoren: Jesús Balado, Pedro Arias, Henrique Lorenzo, Adrián Meijide-Rodríguez
Veröffentlicht in: Remote Sensing, Ausgabe 13(11), 2135, 2021, ISSN 2072-4292
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs13112135

Flexible Planning for Intercity Multimodal Transport Infrastructure

Autoren: GEORGIOS M. HADJIDEMETRIOU, JACOB TEAL, LEON KAPETAS, AJITH K. PARLIKAD
Veröffentlicht in: Infrastructure Systems, Ausgabe Volume 28, Ausgabe 1, 2021, ISSN 1076-0342
Herausgeber: American Society of Civil Engineers
DOI: 10.1061/(asce)is.1943-555x.0000664

Thermographic methodologies used in infrastructure inspection: A review—data acquisition procedures

Autoren: I. Garrido, S. Lagüela, R. Otero, P. Arias
Veröffentlicht in: Infrared Physics & Technology, Ausgabe 111, 2020, Seite(n) 103481, ISSN 1350-4495
Herausgeber: Elsevier BV
DOI: 10.1016/j.infrared.2020.103481

Mobile indoor mapping technologies: A review

Autoren: Roi Otero, Susana Lagüela, Iván Garrido, Pedro Arias
Veröffentlicht in: Automation in Construction, Ausgabe 120, 2020, Seite(n) 103399, ISSN 0926-5805
Herausgeber: Elsevier BV
DOI: 10.1016/j.autcon.2020.103399

Point Cloud Approach For Modelling The Lost Volume of The Fillaboa Bridge Cutwater

Autoren: Jesús Balado, Ana Sánchez-Rodríguez
Veröffentlicht in: SURVEYING AND GEOSPATIAL ENGINEERING JOURNAL, Ausgabe 13 –20 (2021), 2021, ISSN 2710-0642
Herausgeber: SURVEYING AND GEOSPATIAL ENGINEERING JOURNAL
DOI: 10.38094/sgej2018

Condition and criticality-based predictive maintenance prioritisation for networks of bridges

Autoren: Georgios M. Hadjidemetriou, Manuel Herrera, Ajith K. Parlikad
Veröffentlicht in: Structure and Infrastructure Engineering, 2020, Seite(n) 1-16, ISSN 1573-2479
Herausgeber: Taylor & Francis
DOI: 10.1080/15732479.2021.1897146

Predictive group maintenance for multi-system multi-component networks

Autoren: Zhenglin Liang, Ajith Kumar Parlikad
Veröffentlicht in: Reliability Engineering & System Safety, Ausgabe 195, 2020, Seite(n) 106704, ISSN 0951-8320
Herausgeber: Elsevier BV
DOI: 10.1016/j.ress.2019.106704

From BIM to Scan Planning and Optimization for Construction Control

Autoren: Ernesto Frías, Lucía Díaz-Vilariño, Jesús Balado, Henrique Lorenzo
Veröffentlicht in: Remote Sensing, Ausgabe 11/17, 2019, Seite(n) 1963, ISSN 2072-4292
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs11171963

Road Environment Semantic Segmentation with Deep Learning from MLS Point Cloud Data

Autoren: Balado, Martínez-Sánchez, Arias, Novo
Veröffentlicht in: Sensors, Ausgabe 19/16, 2019, Seite(n) 3466, ISSN 1424-8220
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s19163466

Payload for Contact Inspection Tasks with UAV Systems

Autoren: L. M. González-deSantos, J. Martínez-Sánchez, H. González-Jorge, M. Ribeiro, J. B. de Sousa, P. Arias
Veröffentlicht in: Sensors, Ausgabe 19/17, 2019, Seite(n) 3752, ISSN 1424-8220
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s19173752

A safety analysis of roundabouts and turbo roundabouts based on Petri nets

Autoren: Jesús Balado, Lucía Díaz-Vilariño, Pedro Arias, Ana Novo
Veröffentlicht in: Traffic Injury Prevention, Ausgabe 20/4, 2019, Seite(n) 400-405, ISSN 1538-9588
Herausgeber: Taylor & Francis
DOI: 10.1080/15389588.2019.1594208

Point clouds for direct pedestrian pathfinding in urban environments

Autoren: Jesús Balado, Lucía Díaz-Vilariño, Pedro Arias, Henrique Lorenzo
Veröffentlicht in: ISPRS Journal of Photogrammetry and Remote Sensing, Ausgabe 148, 2019, Seite(n) 184-196, ISSN 0924-2716
Herausgeber: Elsevier BV
DOI: 10.1016/j.isprsjprs.2019.01.004

Review of Laser Scanning Technologies and Their Applications for Road and Railway Infrastructure Monitoring

Autoren: Soilán, Sánchez-Rodríguez, Río-Barral, Perez-Collazo, Arias, Riveiro
Veröffentlicht in: Infrastructures, Ausgabe 4/4, 2019, Seite(n) 58, ISSN 2412-3811
Herausgeber: MDPI
DOI: 10.3390/infrastructures4040058

Comparison of heuristic and deep learning-based methods for ground classification from aerial point clouds

Autoren: Mario Soilán, Belén Riveiro, Jesús Balado, Pedro Arias
Veröffentlicht in: International Journal of Digital Earth, 2019, Seite(n) 1-20, ISSN 1753-8947
Herausgeber: Taylor & Francis
DOI: 10.1080/17538947.2019.1663948

Automatic detection of moistures in different construction materials from thermographic images

Autoren: I. Garrido, S. Lagüela, S. Sfarra, F. J. Madruga, P. Arias
Veröffentlicht in: Journal of Thermal Analysis and Calorimetry, Ausgabe 138/2, 2019, Seite(n) 1649-1668, ISSN 1388-6150
Herausgeber: Akademiai Kiado
DOI: 10.1007/s10973-019-08264-y

Model Calibration Methodology to Assess the Actual Lighting Conditions of a Road Infrastructure

Autoren: Ana Ogando-Martínez, Francisco Troncoso-Pastoriza, Pablo Eguía-Oller, Enrique Granada-Álvarez, Aitor Erkoreka
Veröffentlicht in: Infrastructures, Ausgabe 5/1, 2020, Seite(n) 2, ISSN 2412-3811
Herausgeber: MDPI
DOI: 10.3390/infrastructures5010002

Comparison between Geostatistical Interpolation and Numerical Weather Model Predictions for Meteorological Conditions Mapping

Autoren: Javier López Gómez, Francisco Troncoso Pastoriza, Enrique Granada Álvarez, Pablo Eguía Oller
Veröffentlicht in: Infrastructures, Ausgabe 5/2, 2020, Seite(n) 15, ISSN 2412-3811
Herausgeber: MDPI
DOI: 10.3390/infrastructures5020015

Comparison of forecasting models to predict concrete bridge decks performance

Autoren: Monica Santamaria Ariza, Ivan Zambon, Hélder S. Sousa, José António Campos e Matos, Alfred Strauss
Veröffentlicht in: Structural Concrete, 2020, Seite(n) 1-14, ISSN 1464-4177
Herausgeber: Ernst und Sohn
DOI: 10.1002/suco.201900434

Automated Inspection of Railway Tunnels’ Power Line Using LiDAR Point Clouds

Autoren: Ana Sánchez-Rodríguez, Mario Soilán, Manuel Cabaleiro, Pedro Arias
Veröffentlicht in: Remote Sensing, Ausgabe 11/21, 2019, Seite(n) 2567, ISSN 2072-4292
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs11212567

Transfer Learning in urban object classification: Online images to recognize point clouds

Autoren: Jesús Balado, Ricardo Sousa, Lucía Díaz-Vilariño, Pedro Arias
Veröffentlicht in: Automation in Construction, Ausgabe 111, 2020, Seite(n) 103058, ISSN 0926-5805
Herausgeber: Elsevier BV
DOI: 10.1016/j.autcon.2019.103058

Predictive Group Maintenance Model for Networks of Bridges

Autoren: Georgios M. Hadjidemetriou, Xiang Xie, Ajith K. Parlikad
Veröffentlicht in: Transportation Research Record: Journal of the Transportation Research Board, 2020, Seite(n) 036119812091222, ISSN 0361-1981
Herausgeber: US National Research Council
DOI: 10.1177/0361198120912226

Automatic Processing of Aerial LiDAR Data to Detect Vegetation Continuity in the Surroundings of Roads

Autoren: Ana Novo, Noelia Fariñas-Álvarez, Joaquin Martínez-Sánchez, Higinio González-Jorge, Henrique Lorenzo
Veröffentlicht in: Remote Sensing, Ausgabe 12/10, 2020, Seite(n) 1677, ISSN 2072-4292
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs12101677

Thermographic methodologies used in infrastructure inspection: A review—Post-processing procedures

Autoren: I. Garrido, S. Lagüela, R. Otero, P. Arias
Veröffentlicht in: Applied Energy, Ausgabe 266, 2020, Seite(n) 114857, ISSN 0306-2619
Herausgeber: Pergamon Press Ltd.
DOI: 10.1016/j.apenergy.2020.114857

Development of Thermal Principles for the Automation of the Thermographic Monitoring of Cultural Heritage

Autoren: Iván Garrido, Susana Lagüela, Stefano Sfarra, Pedro Arias
Veröffentlicht in: Sensors, Ausgabe 20/12, 2020, Seite(n) 3392, ISSN 1424-8220
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s20123392

UAV payload with collision mitigation for contact inspection

Autoren: L.M. González-deSantos, J. Martínez-Sánchez, H. González-Jorge, F. Navarro-Medina, P. Arias
Veröffentlicht in: Automation in Construction, Ausgabe 115, 2020, Seite(n) 103200, ISSN 0926-5805
Herausgeber: Elsevier BV
DOI: 10.1016/j.autcon.2020.103200

Canopy detection over roads using mobile lidar data

Autoren: A. Novo, H. González-Jorge, J. Martínez-Sánchez, H. Lorenzo
Veröffentlicht in: International Journal of Remote Sensing, Ausgabe 41/5, 2020, Seite(n) 1927-1942, ISSN 0143-1161
Herausgeber: Taylor & Francis
DOI: 10.1080/01431161.2019.1678077

Realistic correction of sky-coloured points in Mobile Laser Scanning point clouds

Autoren: Elena González, Jesús Balado, Pedro Arias, Henrique Lorenzo
Veröffentlicht in: Elsevier, 2021, ISSN 0030-3992
Herausgeber: Elsevier BV
DOI: 10.1016/j.optlastec.2021.107807

Automatic Point Cloud Semantic Segmentation of Complex Railway Environments

Autoren: Daniel Lamas, Mario Soilán, Javier Grandío, Belén Riveiro
Veröffentlicht in: Remote Sensing, Ausgabe 13(12), 2021, ISSN 2072-4292
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs13122332

Microstructure and Thermomechanical Characterization ofFe‐28Mn‐6Si‐5Cr Shape Memory Alloy

Autoren: Antonio Collazo, Raúl Figueroa,Carmen Mariño-Martínez and Carmen Pérez
Veröffentlicht in: Metals, 2021, ISSN 2075-4701
Herausgeber: MDPI
DOI: 10.3390/met11040649

Improvement of the inspection interval of highway bridges through predictive models of deterioration

Autoren: Ademir F. Santos, Maurício S. Bonatte, Hélder S. Sousa, Túlio N. Bittencourt, José C. Matos
Veröffentlicht in: Buildings, 2022, ISSN 2075-5309
Herausgeber: MDPI
DOI: 10.3390/buildings12020124

Fully automated methodology for the delineation of railway lanes and the generation of IFC alignment models using 3D point cloud data

Autoren: Mario Soilán, Andrea Nóvoa, Ana Sánchez-Rodríguez, Andrés Justo, Belén Riveiro
Veröffentlicht in: Automation in Construction, Ausgabe 126, 2021, Seite(n) 103684, ISSN 0926-5805
Herausgeber: Elsevier BV
DOI: 10.1016/j.autcon.2021.103684

In-plane fragility and parametric analyses of masonry arch bridges exposed to flood hazard using surrogate modeling

Autoren: Carlos Mendoza Cabanzo , Mónica Santamaría , Hélder S. Sousa and José C. Matos
Veröffentlicht in: Applied Sciences, 2022, ISSN 2076-3417
Herausgeber: Applied Sciences
DOI: 10.3390/app12041886

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