Ann-Kristin Dugstad

Berggold, P.; Dugstad, A; Hassaan, M.: A Comparative Study of Deep Learning and Evac4BIM in Building Evacuation Design. Proceedings of 35. Forum Bauinformatik, 2024 mehr…

Hassaan, Mohab; Ott, Philip Alexander; Dugstad, Ann-Kristin; Vega Torres, M.A.; Borrmann, André: Emergency Floor Plan Digitization Using Machine Learning. Sensors 23 (19), 2023 mehr…

Dantas, R.; Peter, S.; Wang, X.; Vega, M.; Dugstad, A.: Towards Real-time Image Localization with BIM models. Proceedings of 33. Forum Bauinformatik, 2022 mehr…
Dugstad, A.; Dubey, R.K.; Abualdenien, J.; Borrmann, A.: BIM-based disaster response: Facilitating indoor path planning for various agents. Proc. of European Conference on Product and Process Modeling 2022, 2022 mehr…
Koleva, B.; Dugstad, A.; Noichl, F.: UAV path planning for photogrammetric capture of buildings towards disaster scenarios. Proceedings of 33. Forum Bauinformatik, 2022 mehr…

Dugstad, A.; Bralic, S.; Abualdenien, J.: Path planning through disaster scenes: qualitative interviews to assess relevant parameters. Proc. of the 32th Forum Bauinformatik, 2021 mehr…

Koleva, Betina: Model-based UAV mission planning for photogrammetric capture of existing buildings. Bachelor's thesis, 2022 mehr…

Bralic, S.: First responders' pathway requirements in perilous incidents. Bachelor's thesis, 2021 mehr…

Prof. Dr.-Ing. André Borrmann

Technical University of Munich
Arcisstrasse 21
80333 München
Germany

Phone: +49.89.289.23047