Prof. Dr. habil. Till Sieberth

Professur für Photogrammetrie
mail:
tel: +49 441 7708 - 3198
room: G 210

Books and Papers

Sieberth, T.; Meindl, Michael; Sagmeiser, Bernhard; Franckenberg, Sabine; Ptacek, Wolfgang (2024): Cost-effective 3D documentation device in forensic medicine. Forensic Science International , doi: https://doi.org/10.1016/j.forsciint.2024.112005
Golomingi, Raffael; Dobay, Akos; Franckenberg, Sabine; Ebert, L.; Sieberth, T. (2023): Augmented Reality in Forensics and Forensic Medicine - Current Status and Future Prospects. Science & Justice , doi: https://doi.org/10.1016/j.scijus.2023.04.009
Zimmermann, Norio; Sieberth, T.; Dobay, Akos (2023): Automated wound segmentation and classification of seven common injuries in forensic medicine. Forensic Science, Medicine and Pathology , doi: https://doi.org/10.1007/s12024-023-00668-5
Franckenberg, Sabine; Sieberth, T.; Patcek, Wolfgang; Fürst, Martin; Colacicco, Giovanni; Ebert, L. (2023): Semiautomated Targeted Postmortem Computed Tomography Angiography of the Pulmonary Arteries Using a Robotic System. Forensic Science International , doi: https://doi.org/10.1016/j.forsciint.2023.111712
Seckiner, Dilan; Ebert, L.; Mallett, Xanthé; Berry, Rachel; Green, Hayley; Franckenberg, Sabine; Thali, Michael; Sieberth, T. (2022): A technical protocol for 3D observation and documentation of human decomposition. Australian Journal of Forensic Sciences , doi: https://doi.org/10.1080/00450618.2022.2146189

Presentations

Sieberth, T. : Neujahrsbegrüßung der Neuberufenen. Jade Hochschule Neujahrsempfang, Januar 2024
Sieberth, T. : Forensics digital - 3D crime scene reconstruction. Antrittsvorlesung, Oktober 2023
Sieberth, T. : Forensic Photogrammetry. Abschlusskolloquium Prof. Dr.-Ing. Thomas Luhmann, September 2023

Projects

funded by: Federal Ministry for Economic Affairs and Climate Action
Subproject Optical 3D Measurement Technology: For making of reliable wind turbine runtime extension assessments, a new method is being developed that takes into account the geometry and modal properties of the respective rotor blade. These are deter... more

Bachelor & Master Theses


Untersuchung eines lidargestützten Verfahrens zur Detektion von dynamischen Hindernissen und Algorithmen zur Kollisionsvermeidung für die vollautomatische Navigation mit einem Autonomous Surface Vehicle (2024/1)
supervisors

Prof. Harry Wirth

Prof. Dr. habil. Till Sieberth