Fraunhofer Institute for Physical Measurement Techniques IPM
To fully capture complex objects or environments such as buildings, urban areas or even forests, often requires 3D data from multiple sensors – captured from the air or from the ground. Overlapping data and inconsistent data quality make automated evaluations difficult. Instances are sometimes displayed multiple times, local and global effects cause measurement errors.
Data fusion guarantees consistent data sets
We’re developing tailored solutions for multisensor data fusion that allow measurement data from different sources to be fused, such as:
- 3D data captured by mobile laser scanners
- Data from airborne photogrammetric systems
- Bathymetric measurement data captured by multispectral LiDAR systems
- Data from mobile measuring robots generated with SLAM methods
Fusing the data produces consistent data sets that can be further homogenized or improved as needed. To this end, we rely on our expertise in algorithms based on classic parameters such as point density, spatial coverage, noise behavior, as well as in the latest AI methods for automated data fusion.