Oliver Geißendörfer

Oliver Geißendörfer
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Verified
Oliver verified their affiliation via an institutional email.
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  • Master of Science
  • Research Associate at Technical University of Munich

About

2
Publications
166
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Introduction
Skills and Expertise
Lidar Remote Sensing
Surveying
Spatial Analysis
Photogrammetry
Satellite Image Analysis
Satellite Image Processing
Earth Observation
Hyperspectral Remote Sensing
Current institution
Technical University of Munich
Technical University of Munich
  • Chair of Geodesy and Geodetic Laboratory
  • München, Germany
Current position
  • Research Associate
Chair of Engineering Geodesy

Publications

Publications (2)
Figure 5. Comparing feature-level and observation-level estimation of...
Figure 6. Comparison of the estimation results including the mean shape...
Spatio-temporal mode description in LiDAR point clouds
Conference Paper
Full-text available
  • Apr 2025
Analyzing objects concerning their static and dynamic change is mostly performed with IMU (Inertial Mea- surement Units) or GNSS (Global Navigation Satellite System) sensors fixed to a physically defined surface. We can use a total station to record additional data or support other sensors by referencing them to a homoge- neous coordinate frame. Li...
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Fig. 2: ETH 3D Point Cloud Dataset.
Fig. 3: Oakland 3D Point Cloud Dataset.
Fig. 4: Kijkduin 4D Point Cloud Dataset with first three timestamps...
Fig. 5: Performance of simple kNN Queries over the whole dataset.
+1 Fig. 6: Performance of calculating 10 different eigenvalue-based...
Efficient In-Memory Point Cloud Query Processing
Chapter
Full-text available
  • Feb 2024
Point cloud data acquired via laser scanning or stereo matching of photogrammetry imagery has become an emerging and vital data source in an increasing research and application field. However, point cloud processing can be highly challenging due to an ever-increasing amount of points and the demand for handling the data in near real-time. In this p...
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