Ziyang Xu，M. Sc
Ziyang Xu
Technical University of Munich
Chair of Engineering Geodesy (Prof. Holst)
Postal address
Arcisstr. 21
80333 München
- Phone: +49 (89) 289 - 23966
- Fax: +49 (89) 289 - 23966
- Room: 0501.EG.133
- ziyang.xu@tum.de
HomePage
Research Topic
- Mobile Laser Scanning
- Uncertainty Evaluation
- SLAM
- Point Cloud Processing
Education
- 2023.01 - present: Chair of Engineering Geodesy, Department of Aerospace and Geodesy, TUM
PhD Candidate - 2024.06 -2024.06: Urban Analytics Lab, National University of Singapore
Visiting Researcher - 2017.09 - 2019.06: Geodesy and Geomatics, School of Geodesy and Geomatics, Wuhan University
Degree: Master of Engineering - 2018.07 - 2018.08: Image Processing and Analysis, Israel Institute of Technology
Visiting Student - 2013.09 - 2017.06: Geodesy and Geomatics, School of Geodesy and Geomatics, Wuhan University
Degree: Bachelor of Engineering
Occupation
- 2022.12 - present: Chair of Engineering Geodesy, Technical University of Munich, Munich, DE
Research Associate in Mobile Laser Scanning - 2021.04 - 2022.12: Zhejiang Academy of Surveying and Mapping, Hangzhou, CN
R&D Engineer in Mobile Laser Scanning & HD Map - 2019.07 - 2021.03: China Xiongan Group, Xiongan, CN
Informatization Engineer in CIM/BIM - 2018.07 - 2018.10: IBM China Development Lab(CDL), Beijing, CN
(Internship)Algorithm Engineer / IBM Extreme Bule Project 2018
Teaching
Supervised Theses
- Shiyu Lu (2023): Data Fusion of Mobile Mapping and UAV Point Clouds in Urban Areas, Master Thesis
- Simon Fischer(2024): Performance Evaluation and Fusion of two MLS Systems, Master Thesis
Lectures & Exercises
- Mobile Laser Scanning (MS.c)
- Metrology and Quality (MS.c)
- Practical Laser Scanning(MS.c)
- Geodetic Seminar(MS.c)
- ITBE Fusion Lab(MS.c)
Invited Presentations
- Uncertainty Evaluation of Mobile Laser Scanning Systems, National University of Singapore, Singapore, 2024.05.
- Basics of Laser Scanning for ITBE Fusion Lab, Technical University of Munich, Germany, 2024.10.
- Quality-controlled Mobile Laser Scanning for Digital Twinning of the Built Environment, TUM Leonhard Obermeyer Center, Germany, 2024.11
Current Project
NERF2BIM: AI-Driven Detailing-on-Demand through Sustainable Point Cloud Surveys and Semantic 3D Understanding for Advanced Modeling of Existing Buildings( Funded by TUM Georg Nemetschek Institute Artificial Intelligence for the Built World )