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The widespread adoption of autonomous multi-drone missions in wildlife research remains limited by the absence of readily available automated solutions. In this paper, we present an application of drone swarms to perform monitoring of gregarious species. As part of a PhD project within the interdisciplinary WildDrone consortium, we describe the potential of utilizing drones to gather multi-view data about animals for posture analysis, individual identification, and 3D reconstruction. We introduce our strategy to tackle the deployment of drone swarms for such a task, as well as our methodology to conduct our first real-world tests in January 2025 in Kenya.

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Advancing Wildlife Monitoring in Gregarious Species with Drone Swarms

  • 会议论文

  • 发表日期：

    2025年

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  • Edouard G. A. Rolland,
  • Lucie Laporte-Devylder,
  • Anders Lyhne Christensen

摘要

The widespread adoption of autonomous multi-drone missions in wildlife research remains limited by the absence of readily available automated solutions. In this paper, we present an application of drone swarms to perform monitoring of gregarious species. As part of a PhD project within the interdisciplinary WildDrone consortium, we describe the potential of utilizing drones to gather multi-view data about animals for posture analysis, individual identification, and 3D reconstruction. We introduce our strategy to tackle the deployment of drone swarms for such a task, as well as our methodology to conduct our first real-world tests in January 2025 in Kenya.