Publikationen

Im Rahmen des BAMBI-Forschungsprojekts, das darauf aufbauende Folgeprojekte THUMPER sowie der Projektkooperationen mit dem Kuratorium für Verkehrswissenschaften zum Thema „Wildunfallrisiko im Straßenverkehr“ und des Pilotprojekts zur Afrikanischen Schweinepest, das gemeinsam mit dem Amt der Steiermärkischen Landesregierung (Abteilung 8 – Veterinärwesen), sowie dem Amt der Oberösterreichischen Landesregierung (Direktion Soziales und Gesundheit) durchgeführt wurde, sind folgende wissenschaftliche Publikationen entstanden:

  • Schedl D., Praschl C. “BAMBI – Biodiversity Airborne Monitoring Based on Intelligent UAV sampling”. 7. Symposium for Research in Protected Areas. Conference. Vol. 2. 2022.
  • Praschl C. “Drone-based Population Monitoring of Wildlife using Light-Field Samples and Video Sequences in Wooded Environments Utilizing Artificial Intelligence”. Doctoral Consortium of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. 2023. https://pure.fh-ooe.at/de/publications/c8807944-e114-452d-8de2-3f76c26e6d84
  • Praschl C., Böss L., Probst K., Schedl D. “Towards a Multispectral Airborne Light Field Dataset of Forest Animals”. Proceedings of 3rd Int. Workshop on Camera Traps, AI, and Ecology (2023).
  • Praschl C., Schedl D. “Towards an Automated Biodiversity Monitoring Process for Forest Animals using Drones”. Proceedings of the 11th International Workshop on Simulation for Energy, Sustainable Development & Environment (2023). https://doi.org/10.46354/i3m.2023.sesde.002
  • Praschl C., Stöckl A., Fleischer M., Schedl D. “Assessment of Wildlife Accident Risk using a Drone-based Population Monitoring System”. EU Safety 2023, Reykjavik, Iceland (2023).
  • Praschl C., Böss L., Schedl D. “Reconstructionless Airborne Radiance Fields”. SIGGRAPH (2024). https://doi.org/10.1145/3641234.3671077
  • Praschl C., Schedl D., Stöckl A. “Modeling Wildlife Accident Risk with Gaussian Mixture Models”. In: Lecture Notes in Computer Science. Volume 15173 (2025). https://doi.org/10.1007/978-3-031-82957-4_5
  • Wohlfahrt S., Praschl C., Leitner H., Jantasch W., Konic J., Schueler S., Schedl D. “Advancing Wildlife Monitoring: Drone-Based Sampling for Roe Deer Density Estimation”. International Wildlife Congress (2025).
  • Praschl C., Schedl D. “Visual Wildlife Monitoring in Forests using Uncrewed Aerial Vehicles”. WildDrone Summer School 2025. https://wilddrone.github.io/training/summer-school/posters
  • Praschl C., Coucke V., Maschek A., Schedl D. “Multi-Object Tracking of Wildlife in Forests Using Nadir Thermal Aerial Videos”. 5th Int. Workshop on Camera Traps, AI, and Ecology (2025; non-archival).
  • Praschl C., Karbasch M., Schedl D. “Synthetic Generation of Drone Footage using Diffusion Models”. In: Lecture Notes in Computer Science. (2026; not published yet).
  • Praschl C., Schoibesberger S., Schedl D. “Evaluation of Novel View Synthesis in the Context of Radiometric Drone Imagery”. GRIVAPP (2026; Best Student Paper Award). https://doi.org/10.5220/0014460900004728
  • Praschl C., Markoff H., Maschek A., Jantsch W., Wohlfahrt S., Leitner H., Beery S., Ørsted M., Schedl D. “The BAMBI Dataset: Multimodal Nadir UAV-Recordings of Forest Wildlife”. CV4Animals Workshop @ CVPR (2026; non-archival).
  • Praschl C., Schedl D. “From Virtual Forests to Real Wildlife: Synthethic Non-Radiometric Thermal UAV Data for Animal Detection”. SIGGRAPH (2026). https://doi.org/10.1145/3799825.3818732
  • Praschl C., Coucke V., Maschek A., Schedl D. “Stay Local or Go Global: Geo-Referenced Bounding Boxes for Tracking Wildlife in Thermal Drone Videos”. IET Computer Vision (2026). https://doi.org/10.1049/cvi2.70077
  • Ludoški I., Praschl C., Schedl D., Urosevic M. “Monitoring and Counting of Red Deer Using UAVs Equipped with RGB and Thermal Sensors”. Int. Symposium of Animal Sciences 2026 (2026; not published yet).
  • Markoff H., Praschl C., Ludoški I., Beery S., Ørsted M., Schedl D. “When One Modality Is Not Enough: Fine-Grained Wildlife Classification from Aerial RGB–Thermal Imagery”. CV4E Workshop @ ECCV (2026).
  • Markoff H., Praschl C., Jørgensen A., Mogensen C., Skadhauge M., Beery S., Ørsted M., Schedl D. “Oh Deer, How Should I Handle This? Seasonal Priors for Selective Wildlife Fine-Grained Annotation”. CV4E Workshop @ ECCV (2026).
  • Praschl C., Markoff H., Maschek A., Jantsch W., Wohlfahrt S., Beery S., Ørsted M., Schedl D. “The BAMBI Dataset: Multimodal Nadir UAV-Recordings of Forest Wildlife”. NeurIPS Evaluations & Datasets Track (2026).