Author, Institution: Paulius Kavaliauskas, Kaunas University of Technology
Science area, field of science: Technological Sciences, Civil Engineering, T002
Scientific Supervisor: Prof. Dr. Andrius Jurelionis (Kaunas University of Technology, Technological Sciences, Civil Engineering, T002)
Dissertation Defense Board of Civil Engineering Science Field:
Prof. Dr. Darius Pupeikis (Kaunas University of Technology, Technological Sciences, Civil Engineering, T002) – chairperson
Dr. Vytautas Bocullo (Kaunas University of Technology, Technological Sciences, Civil Engineering, T002)
Assoc. Prof. Dr. Paris A. Fokaides (Frederick University, Cyprus, Technological Sciences, Civil Engineering, T002)
Dr. Ignacio Villalon Fornes (Kaunas University of Technology, Technological Sciences, Civil Engineering, T002)
Assoc. Prof. Dr. Tatjana Vilutienė (Vilnius Gediminas Technical University, Technological Sciences, Civil Engineering, T002)
Dissertation defense meeting will be at Rectorate Hall of Kaunas University of Technology (K. Donelaičio 73-402, Kaunas)
The doctoral dissertation is available at the library of Kaunas University of Technology (Gedimino 50, Kaunas) and on the internet: P. Kavaliauskas el. dissertation.pdf
Annotation: Currently, technologies such as building information modelling (BIM), laser scanning and photogrammetry are becoming commonplace in modern construction. Each construction project requires progress monitoring to ensure up-to-date information is available. Automating the construction progress monitoring process using these technologies can increase the overall efficiency of construction process and improve the overall performance. This research aims to investigate the application of photogrammetry and laser scanning for construction progress monitoring, from earthworks control to building object monitoring; and to develop a methodology for automating this process, focusing on the automated detection of objects in construction environment based on IFC and laser scan data integration. During the earthworks phase, experiments were conducted using advanced drone-based photogrammetric workflows to understand how these technologies affect the nature of work compared to the traditional methods in terms of accuracy, reliability, and time. During building construction phase, experiments were conducted by capturing as-built data using different laser scanning techniques and a methodology was developed for point cloud and IFC data integration and automated object monitoring.
May 8 d. 10:00
Rectorate Hall at Kaunas University of Technology (K. Donelaičio 73-402, Kaunas)
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