Sense & Avoid - a cooPeratIvE droNe CompEtition
Reimagining Search & Rescue Missions
Utilising autonomous drones to survey indoor and outdoor environments in disaster areas. Minimising human involvement in dangerous areas and providing first responders with the information they need to achieve the best possible outcome.
Increasing the Level of Perception Autonomy
Enhancing drones' ability to perceive, understand, and navigate their surroundings independently. Allowing them to operate in diverse environments, adapting to new challenges in real-time.
Showcasing Cooperative Multi-Drone Solutions
Focusing on the interaction and coordination between multiple autonomous agents to achieve complex tasks and improve overall mission efficiency.
The SAPIENCE project significantly advances the field of autonomous systems by leveraging artificial intelligence for enhanced perception and guidance autonomy in drones. Through a series of collaborative competitions, this initiative fosters innovation in search and rescue operations, enabling multiple drones to effectively navigate and map GPS-denied environments, detect and deliver aid to victims, and perform complex cooperative tasks. By integrating cutting-edge AI techniques, the project not only enhances the capabilities of autonomous systems but also contributes to disaster response efforts, potentially saving lives and improving safety in critical situations.
Prof. Nabil Aouf
Project Lead and NATO Country Project Director
City, University of London
Prof. Stephan Weiss
Partner Country Project Director
University of Klagenfurt
Dr. Bryan Mesmer
Project Co-Director
The University of Alabama in Huntsville
Dr. Ir. Ewoud Smeur
Project Co-Director
Delft University of Technology