Moritz Laass

Telefon: n/a
Raum: 110
Anschrift: Technische Universität München
Moritz Laass
Lise-Meitner-Str. 9
85521 Ottobrunn


  1. Laass, M., Dax, G., & Werner, M. (2022). A Randomized Data Structure for Point Clouds. Proceedings of the 7th Annual SDSC Conference and 17th 3D GeoInfo Conference. [BibTeX]
  2. Laass, M. (2021). Point in Polygon Tests Using Hardware Accelerated Ray Tracing. 6th ACM SIGSPATIAL Student Research Competition (SIGSPATIAL ’21). [PDF] [BibTeX]
  3. Götzer, S., Laass, M., Dax, G., & Werner, M. (2021). ObservaToriUM: A Simple Scalable Earth Observation Processing Engine. Symposium Für Angewandte Geoinformatik (AGIT’2021). [PDF] [BibTeX]
  4. Laass, M., Kiermeier, M., & Werner, M. (2021). Improving persistence based trajectory simplification. Proceedings of the 22nd IEEE International Conference on Mobile Data Management (MDM’2021). [PDF] [BibTeX]
  5. Dax, G., Laass, M., & Werner, M. (2021). Genetic Algorithm for Improved Transfer Learning Through Bagging Color-Adjusted Models. International Geoscience and Remote Sensing Symposium (IGARSS’21). [PDF] [BibTeX]
  6. Werner, M., Dax, G., & Laass, M. (2020). Computational Challenges for Artificial Intelligence and Machine Learning in Environmental Research. In R. H. Reussner, A. Koziolek, & R. Heinrich (Eds.), 50. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2020 - Back to the Future, Karlsruhe, Germany, 28. September - 2. Oktober 2020: Vol. P-307 (pp. 1009–1017). GI. [Online] [BibTeX]

© 2020 M. Werner