Lakeside Research Days'13
From Self-Organization Wiki
Topic: Multi-UAV systems
- Multi-UAV System Architecture
- Deployment Areas and Challenges
- Challenges in Sensing, Communication, Coordination
- UAV Swarms
- Business Opportunities with UAVs
Groupwork Results
- Groupwork 1: Multi-UAV system design
- What is a multi-UAV system?
- What are the building blocks of an autonomous multi-UAV system?
- What are the design challenges?
- Is autonomy desirable? When?
- Groupwork 2: Deployment areas and challenges
- What are the main civil applications?
- Existing case studies, applications
- What are the challenges in deploying an autonomous multi-UAV system in real-world?
- What can the researchers and engineers do to improve public perception of UAVs?
- Groupwork 3: Challenges in Sensing, Communication, Coordination
- What are the main challenges?
- What are the best suitable sensors, communication modules for small-scale UAVs? What is available?
- radio spectrum allocation
- vehicle, payload
- ground and airborne communication systems
- Is a UAV swarm feasible? What are the limitations?
- How do we coordinate the UAVs to achieve team behavior?
- Groupwork 4: Open Issues, publication & funding venues
- What are the open issues?
- How do we improve/develop safety, software and standards for UAVs?
- Where do we publish?
- What are the best suitable funding schemes?
Talks
- Roland Siegwart, ETH Zurich, Small Flying Robots - Design and Visual Navigation [[[slides]]]
- Darius Burschka, Technische Universität München, Fusion of Distributed Perception in Collaborative Visual-SLAM Approaches on Mini-UAVs[[[slides]]]
- Horst Bischof, Technische Universität Graz, Exploiting Redundancy for Reliable Aerial Computer Vision [[[slides]]]
- Christian Bettstetter, Evsen Yanmaz, AAU, Lakeside Labs, Aerial Imaging and Wireless Communications with Multiple Autonomous UAVs [[[slides]]]
- Simon Lacroix, LAAS/CNRS, Decisional Issues in Multi-UAV Systems[[[slides]]]
- Angela Schöllig, University of Toronto, Slalom racing and flight dances – motion planning, control and learning for high-performance quadrocopter flight [[[slides]]]
- Stephen Cameron, Oxford University, Multi-Spectral People Detection from UAVs [[[slides]]]
