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Rafael Cabral
Rafael Cabral
Inne imiona/nazwiskaRafael de Araujo Cabral, Cabral, R
Faculty of Engineering of the University of Porto
Zweryfikowany adres z fe.up.pt - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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Non-contact structural displacement measurement using Unmanned Aerial Vehicles and video-based systems
D Ribeiro, R Santos, R Cabral, G Saramago, P Montenegro, H Carvalho, ...
Mechanical Systems and Signal Processing 160, 107869, 2021
492021
Detection of exposed steel rebars based on deep-learning techniques and unmanned aerial vehicles
R Santos, D Ribeiro, P Lopes, R Cabral, R Calçada
Automation in Construction 139, 104324, 2022
192022
Automatic detection of corrosion in large-scale industrial buildings based on artificial intelligence and unmanned aerial vehicles
R Lemos, R Cabral, D Ribeiro, R Santos, V Alves, A Dias
Applied Sciences 13 (3), 1386, 2023
112023
Remote Inspection and Monitoring of Civil Engineering Structures Based on Unmanned Aerial Vehicles
D Ribeiro, R Santos, R Cabral, R Calçada
Advances on Testing and Experimentation in Civil Engineering: Materials …, 2023
62023
Railway bridge geometry assessment supported by cutting-edge reality capture technologies and 3D as-designed models
R Cabral, R Oliveira, D Ribeiro, AM Rakoczy, R Santos, M Azenha, ...
Infrastructures 8 (7), 114, 2023
32023
Railway bridge condition assessment based on state-of-the-art reality capture technologies: application to a case study
R Cabral, R Oliveira, D Ribeiro, R Santos, M Azenha, A Rakoczy, ...
EC3 Conference 2023 4, 0-0, 2023
12023
Aplicações de Realidade Virtual em Coordenação de Projeto de Engenharia Civil
L Sousa, R Cabral, R Gavina, D Ribeiro, V Carvalho
ptBIM 2020 – 3º Congresso Português de Building Information Modelling, 2020
12020
Procedimentos para Avaliação dos Deslocamentos da Torre de Telecomunicações do Monte da Virgem sob Ação do Vento com um Veículo Aéreo não Tripulado (VANT)
R de Araújo Cabral
PQDT-Global, 2019
12019
Engineering the Future: A Deep Dive into Remote Inspection and Reality Capture for Railway Infrastructure Digitalization
R Cabral, D Ribeiro, A Rakoczy
Digital Railway Infrastructure, 229-256, 2024
2024
Remote inventory and inspection of the truss bridge elements and connections using STS and UAV
P Olaszek, E Maciejweski, A Rakoczy, R Cabral, R Santos, D Ribeiro
CILAMCE 2023, 2023
2023
Railroad bridge FFS assessment using advanced reality capture and probabilistic approach
R Cabral, R Manuel, D Ribeiro, A Rakoczy, Ł Porzyc
18th Wroclaw Bridge Days 2023, 2023
2023
Advances on inspection of railway infrastructure using computer vision-based deep learning
R Cabral, J Correia, R Calçada, D Ribeiro
Conference: 12th International Heavy Haul Association Conference, 2023
2023
Nowe narzędzia do inspekcji, diagnostyki i oceny istniejących obiektów mostowych
AM Rakoczy, WA Karwowski, D Ribeiro, R Santos, R Cabral
Mosty, 2023
2023
Automatic detection of exposed steel rebars based on deep-learning techniques and UAV’s
R Santos, D Ribeiro, P Lopes, R Cabral, R Calçada
Proceedings–Extended Abstracts–of the 3rd Conference on Testing and …, 2022
2022
Structural inspection based on Computer Vision and Convolutional Neural Networks
R Cabral, R Lemos, D Ribeiro, R Santos, V Alves, J Correia
Proceedings–Extended Abstracts–of the 3rd Conference on Testing and …, 2022
2022
Digitalização de informação na inspeção remota de estruturas de betão armado com recurso a inteligência artificial
E Carola, R Santos, D Ribeiro, G Nina, R Cabral, N Pinto
ptBIM 2022 – 4º Congresso Português de Building Information Modelling, 2022
2022
Remote Inspection and Monitoring of Civil Engineering Structures Based on Unmanned Aerial Vehicles
D Ribeiro, R Santos, R Cabral, A Shibasaki
EuroStruct - International Conference of the European Association on Quality …, 2021
2021
Sistema de medição de deslocamentos baseado em tecnologia vídeo a bordo de veículos aéreos não tripulados
D Ribeiro, R Santos, R Cabral, G Saramago, R Calçada
Revista Mecânica Experimental, 59-71, 2021
2021
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