Autonomous Drones for Nature Conservation Missions (WildDrone)

Basic data for this project

Type of projectEU-project hosted outside University of Münster
Duration at the University of Münster01/01/2023 - 31/12/2026

Description

The aim of WildDrone is to push wildlife conservation practices into the 21st century. The need for effective, cost-efficient conservation practices are greater than ever as we currently face the greatest loss of global biodiversity in history. Present conservation practices are typically very labour intensive, costly, and time-consuming. Collected data is often inaccurate or incomplete. However, recent advances in drone technology have shown that this technology has great potential as a practical tool for conservationists and that it could potentially revolutionize our efforts in nature conservation. Nevertheless, drone technology is still a developing field and many obstacles stand in the way of us harvesting the benefits of this emerging technology. To fully achieve its promising potential in this new domain we will need to invent more robust and predictable robotic technologies, including effective and automated means of gathering and interpreting ecological and behavioural data. WildDrone will address these challenges by joining the scientific areas of aerial robotics, computer vision, and wildlife ecology. The network proposes to develop new autonomous drone technology, expand current computer vision capabilities, and combine these advances to create practical tools for visual inspection and monitoring of wildlife populations. This drone-based inspection will provide conservationists with crucial knowledge of animal health, behaviour, and numbers. These challenges will be solved by 13 PhDs (three self-funded). An interdisciplinary research training programme has been designed to educate a new generation of PhDs and provide them with a unique skill set enabling them to tackle the great challenges we must solve collectively, if we are to reverse the decline of global biodiversity. This program will raise the level of excellence in doctoral programs and simultaneously enhance the career perspectives of the PhDs in both academia and industry.

Keywordsaerial robotics; computer vision; wildlife ecology; drone technology
Website of the projecthttps://cordis.europa.eu/project/id/101071224
Funding identifier101071224
Funder / funding scheme
  • EC Horizon Europe - Marie Skłodowska-Curie Actions - Doctoral Network (MSCA DN)

Project management at the University of Münster

Risse, Benjamin
Professorship of Geoinformatics for Sustainable Development (Prof. Risse)

Applicants from the University of Münster

Risse, Benjamin
Professorship of Geoinformatics for Sustainable Development (Prof. Risse)

Project partners outside the University of Münster

  • University of Southern Denmark (SDU)Denmark
  • Max Planck Society (MPG)Germany
  • Fondazione Bruno Kessler (FBK)Italy
  • Ecole Polytechnique Federale De Lausanne (EPFL)Switzerland
  • University of KonstanzGermany
  • Kenyatta UniversityKenya
  • Wageningen University (WU)Netherlands (Kingdom of the)
  • University of Bristol (UNIVBRIS)United Kingdom
  • British Broadcasting Corporation (BBC)United Kingdom
  • Nationalparkfond VadehavetDenmark
  • Ol Pejeta ConservancyKenya
  • WIPSEAFrance
  • Bristol, Clifton & West of England Zoological Society Ltd.United Kingdom
  • The Danish Environmental Protection Agency (EPA)Denmark
  • WWF SchweizSwitzerland
  • Kuzikus African Safaris PTY LTDNamibia
  • Avy B.V.Netherlands (Kingdom of the)
  • KBR Wyle Services, LLC (KBR)United States
  • Danish Agriculture & Food CouncilDenmark

Coordinating organisations outside the University of Münster

  • University of Southern Denmark (SDU)Denmark