Project Details
Description
WildDrone is an international training network funded by the EU Marie Skłodowska Curie Actions. The network will operate from 1 January 2023 – 31 December 2026.
We aim to revolutionize wildlife conservation practices by using autonomous drone technology as a unifying platform to monitor wildlife populations, track their movements, and manage human-wildlife conflicts. We believe that the rapid decline of wildlife populations has prompted an urgent need for more effective and feasible nature conservation practices.
The consortium will train 13 doctoral candidates and equip them with a unique combination of multidisciplinary skills for drone-based ecology and wildlife conservation. The candidates will work closely together in a global training network to realize the full potential of drones and companion autonomous systems for nature conservation missions.
We aim to revolutionize wildlife conservation practices by using autonomous drone technology as a unifying platform to monitor wildlife populations, track their movements, and manage human-wildlife conflicts. We believe that the rapid decline of wildlife populations has prompted an urgent need for more effective and feasible nature conservation practices.
The consortium will train 13 doctoral candidates and equip them with a unique combination of multidisciplinary skills for drone-based ecology and wildlife conservation. The candidates will work closely together in a global training network to realize the full potential of drones and companion autonomous systems for nature conservation missions.
| Acronym | WildDrone |
|---|---|
| Status | Active |
| Effective start/end date | 01/01/2023 → 31/12/2026 |
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Related research output
- 4 Article in proceedings
-
Drone Swarms for Multi-Perspective Monitoring of Large Mammals in their Natural Habitats: Deployment and Field Trials
Rolland, E., Meier, K., Grøntved, K. A. R., Laporte-Devylder, L., Maalouf, G., Lundquist, U. P. S. & Christensen, A., 2026, Advances in Practical Applications of Agents, Multi-Agent Systems, and Computational Social Science, The PAAMS Collection: The PAAMS Collection. Mathieu, P. & De la Prieta, F. (eds.). Springer, p. 266–277 (Lecture Notes in Computer Science, Vol. 16031).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile310 Downloads (Pure) -
Advancing Wildlife Monitoring in Gregarious Species with Drone Swarms
Rolland, E., Laporte-Devylder, L. & Christensen, A., 2025, Distributed Computing and Artificial Intelligence, Special Sessions II, 21st International Conference -. Marreiros, G., Grande, L., Llerena, J. P., Conceição, L., Ko, H., Plaza, M. & Ricca, M. (eds.). Springer, p. 310-316 (Lecture Notes in Networks and Systems, Vol. 1151).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
File249 Downloads (Pure) -
Autonomous UAV Volcanic Plume Sampling Based on Machine Vision and Path Planning
Rolland, E., Grøntved, K. A. R., Christensen, A., Watson, M. & Richardson, T., 7. Jun 2024, 2024 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, p. 1064-1071 (Proceedings of International Conference on Unmanned Aircraft Systems).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile280 Downloads (Pure) -
Drone Swarms for Animal Monitoring: A Method for Collecting High-Quality Multi-Perspective Data
Rolland, E., Grøntved, K. A. R., Laporte-Devylder, L., Kline, J. M., Lundquist, U. P. S. & Christensen, A., 18. Sept 2024, The 15th annual International Micro Air Vehicle (IMAV) conference, Bristol, UK, 2024. p. 316-323 38Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile352 Downloads (Pure)