5
Publications
106
Citations
5
H-Index
2019
Active since
Affiliations
Andreas Sjölander is an author at KTH Royal Institute of Technology specializing in civil engineering, engineering, and computer vision.
Top concepts
EngineeringCivil EngineeringTunnelingData ScienceGeomechanicsDeep LearningImage AnalysisMachine VisionRock MechanicsComputer Vision
Publications per year
2019–2024
5
5
TACK PROJECT: TUNNEL AND BRIDGE AUTOMATIC CRACK MONITORING USING DEEP LEARNING AND PHOTOGRAMMETRY
Valeria Belloni, Andreas Sjölander, Roberta Ravanelli et al. · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · 2020 · 13 citations · Full text
Convolutional Neural Network, Engineering, Machine Learning +19
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