Autonomous Drones for Nature Conservation Missions (WildDrone)

Grunddaten zu diesem Projekt

Art des ProjektesEU-Projekt koordiniert außerhalb der Universität Münster
Laufzeit an der Universität Münster01.01.2023 - 31.12.2026

Beschreibung

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.

Stichwörteraerial robotics; computer vision; wildlife ecology; drone technology
Webseite des Projektshttps://cordis.europa.eu/project/id/101071224
Förderkennzeichen101071224
Mittelgeber / Förderformat
  • EU Horizon Europe - Marie Skłodowska-Curie Actions - Doctoral Network (MSCA DN)

Projektleitung der Universität Münster

Risse, Benjamin
Professur für Geoinformatics for Sustainable Development (Prof. Risse)

Antragsteller*innen der Universität Münster

Risse, Benjamin
Professur für Geoinformatics for Sustainable Development (Prof. Risse)

Projektbeteiligte Organisationen außerhalb der Universität Münster

  • Syddansk Universitet (SDU)Dänemark
  • Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V. (MPG)Deutschland
  • Fondazione Bruno Kessler (FBK)Italien
  • Ecole Polytechnique Federale De Lausanne (EPFL)Schweiz
  • Universität KonstanzDeutschland
  • Kenyatta UniversityKenia
  • Universität Wageningen (WU)Niederlande (Königreich der)
  • University of Bristol (UNIVBRIS)Vereinigtes Königreich
  • British Broadcasting Corporation (BBC)Vereinigtes Königreich
  • Nationalparkfond VadehavetDänemark
  • Ol Pejeta ConservancyKenia
  • WIPSEAFrankreich
  • Bristol, Clifton & West of England Zoological Society Ltd.Vereinigtes Königreich
  • The Danish Environmental Protection Agency (EPA)Dänemark
  • WWF SchweizSchweiz
  • Kuzikus African Safaris PTY LTDNamibia
  • Avy B.V.Niederlande (Königreich der)
  • KBR Wyle Services, LLC (KBR)Vereinigte Staaten
  • Danish Agriculture & Food CouncilDänemark

Koordinierende Organisationen außerhalb der Universität Münster

  • Syddansk Universitet (SDU)Dänemark