Institute of Geodesy and Photogrammetry
Dr.Eng. Mehdi Maboudi
Bienroder Weg 81
38106 Braunschweig
Room 020
Tel: (0531) 391-94583
E-Mail.: m.maboudi(at)tu-bs.de
Lecturer and Senior Researcher
Additive Manufacturing in Construction (AMC): First phase 2019-2023
ABC-Inspect (Drone-based automatic crane inspection): 2019-2022
LaScaBi: 2019-2022
Progressive Model-Driven Approach for 3D Modeling of Indoor Spaces,
Abdollahi, H. Arefi, S. Malihi, M Maboudi, in Sensors, https://doi.org/10.3390/s23135934, 2023
Topology-aware 3D Modelling of Indoor Spaces from Point Clouds, Zavar, H., Arefi, H., Malihi, S., and Maboudi, M.: Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2021, 267–274, 2021.
Automatic Integration of Laser Scanning and Photogrammetric Point Clouds: from Acquisition to Co-Registration, Partovi, T., Dähne, M., Maboudi, M., Krueger, D., and Gerke, M, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2021, 85–92, 2021.
Can Machine Learning and PS-InSAR Reliably Stand in for Road Profilometric Surveys? Fiorentini, N.; Maboudi, M.; Leandri, P.; Losa, M., Sensors 2021, 21(10), 3377
Drone-Based Container Crane Inspection: Concept, Challenges and Preliminary Results, Maboudi, M., Alamouri, A., De Arriba López, V., Bajauri, M. S., Berger, C., and Gerke, M.: ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2021, 121–128, 2021.
Surface Motion Prediction and Mapping for Road Infrastructures Management by PS-InSAR Measurements and Machine Learning Algorithms. Fiorentini, N.; Maboudi, M.; Leandri, P.; Losa, M.; Gerke, M, Remote Sens. 2020, 12, 3976.
Rail Track Detection and Projection-Based 3D Modeling from UAV Point Cloud, Shima Saheb-divani, Hossein Arefi, and Mehdi Maboudi, Sensors , 20(18), 5220, 2020.
Current Surveying Methods for Integration of Additive Manufacturing in Construction Process, Mehdi Maboudi, Markus Gerke, Norman Hack, Leon Brohmann, Patrick. Schwerdtner, and Gerrit Placzek. IAPRS Volume XLIII-B4-2020, XXIV ISPRS Congress, 2020
Inspection Methods for 3D Concrete Printing, Richard Buswell, Peter Kinnell, Jie Xu, Norman Hack, Harald Kloft, Mehdi Maboudi, Markus Gerke, Peter Massin, Georg Grasser, Rob Wolfs, and Freek Bos, Second RILEM International Conference on Concrete and Digital Fabrication; Digital Concrete 2020.
Deep Learning based Classification of Color Point Cloud for 3D Reconstruction of Interior Elements of Buildings, Shima Sahebdivani, Hossein Arefi, Mehdi Maboudi, International Conference on Machine Vision and Image Processing (MVIP), 2020
Assessing Resilience of Infrastructures Towards Exogenous Events by Using PS-INSAR-Based Surface Motion Estimates and Machine Learning Regression Techniques, Nichols Fiorentini, Mehdi Maboudi, , Massimo Losa, and Markus Gerke, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume V-4-2020, 2020 XXIV ISPRS Congress, 2020
Impact of Gap Filling on Quality of Road Networks, Mehdi Maboudi, Jalal Amini, and Markus Gerke, IAPRS, Volume XLII-4/W18, 2019
Investigation of Geometric Performance of an Indoor Mobile Mapping System, Mehdi Maboudi, Dávid Bánhidi, and Markus Gerke, IAPRS, XLII-2, 637-642, Rival Del Garda, Italy, 2018.
Integrating Fuzzy Object Based Image Analysis and Ant Colony Optimization for Road Extraction from Remotely Sensed Images, Mehdi Maboudi, Jalal Amini, Shirin Malihi, and Michael Hahn, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 138, pp 151-163, 2018.
Evaluation of indoor mobile mapping systems, Mehdi Maboudi, Dávid Bánhidi, and Markus Gerke, GFaI Workshop, 3D North East 2017 (20th Application-oriented Workshop on Measuring, Modeling, Processing and Analysis of 3D-Data), Berlin, Germany, 2017
Object-based road extraction from satellite images using ant colony optimization, Mehdi Maboudi, Jalal Amini, Michael Hahn and Mehdi Saati, International Journal of Remote Sensing, Vol 38, no. 1, pp 179-198,2017
Road Network Extraction from VHR Satellite Images Using Context Aware Object Feature Integration and Tensor Voting, Mehdi Maboudi, Jalal Amini, Michael Hahn and Mehdi Saati, Remote Sensing, 2016 8 (8).