prof. dr. Domen Mongus
Lecturer
- Laboratory for Geometrial Modeling and Multimedia Algorithms, Institute of Computer Science, FERI UM
- domen.mongus@um.si
- +386 (0)2 22 07 408
- Researcher code
- 29243
RRI services offered to companies
Integration of environmental intelligence and artificial intelligence into business processes.
Past cooperation with companies in the field of digitalization
- Bruce McCormack Consulting, Ireland
- Geodirectory, Irish Post Office, Ireland,
- Solverminds Solutions And Technologies Pvt Ltd, India
- GisData, Croatia
- Center of Geospatial Information Management, Serbia
Successful projects in collaboration with companies
Detailed descriptions of projects and cooperations with companies can be found here:
Other current projects
Scientific publications
- Mongus D. and Žalik B. (2018): Segmentation schema for enhancing land cover identification: A case study using Sentinel 2 data.
- Mongus D., Vilhar U., Skudnik M., Žalik B. and Jesenko D. (2018): Predictive analytics of tree growth based on complex networks of tree competition.
- Rebolj D., Pučko Z., Čuš Babič N., Bizjak M. and Mongus D. (2017): Point cloud quality requirements for Scan-vs-BIM based automated construction progress monitoring.
- Horvat D., Žalik B. and Mongus D. (2016): Context-dependent detection of non-linearly distributed points for vegetation classification in airborne LiDAR.
- Mongus D. and Žalik B. (2015): An efficient approach to 3D single tree-crown delineation in LiDAR data.
Patents and patent publications
ŽALIK, Borut, MONGUS, Domen. Light detection and ranging (Lidar)data compression and decompression methods and apparatus : United States Patent and trademark office No.: US 9.300.321 B2, date of patent Mar. 29, 2016, Appl. no.: 13/289.839, filed Nov. 4, 2011. [S. l.: s. n.], 2016. [15] f., ilustr. [COBISS.SI-ID 19503126]
Knowledge and unpatented technologies
- Framework for environmental (artificial) intelligence,
- Digital Twin Technology Fund and PLACE data fusion,
- STAGE software tool for almost real-time surface monitoring
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