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Aerial Robotics: State-based Conflict Detection and Resolution (Detect and Avoid) in High Traffic Densities and Complexities
- Source :
- Current Robotics Reports, 2
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- Purpose of Review A lot of research into decentralised, state-based conflict detection and resolution, or detect and avoid algorithms has been executed. This paper explains the essential properties of state-based conflict detection and reviews the work in the context of applications for not only manned but also unmanned aerial vehicles, where this might be applied relatively soon. Recent Findings Lately, based on several reviews of a variety of published algorithms, a selection has been implemented and simulated in extremely high traffic densities for comparison. Summary The modified voltage potential has been surprisingly efficient, even compared with more complex algorithms or adaptations, as is apparent from looking at macroscopic metrics like domino effect, efficiency and safety. This indicates that to this date, it is so far the most suitable algorithm for the detect and avoid role for unmanned aerial vehicles in urban airspaces, or other areas where a high density is expected.
- Subjects :
- UTM
Conflict detection
Computer science
UAV
Real-time computing
Context (language use)
02 engineering and technology
Conflict resolution
0203 mechanical engineering
Urban traffic management
0502 economics and business
Drones
050210 logistics & transportation
020301 aerospace & aeronautics
business.industry
05 social sciences
Capacity management
Robotics
General Medicine
Resolution (logic)
Geovectoring
Variety (cybernetics)
Domino effect
U-space
Detect and avoid
Modified voltage potential
State (computer science)
Artificial intelligence
business
Subjects
Details
- ISSN :
- 26624087
- Volume :
- 2
- Database :
- OpenAIRE
- Journal :
- Current Robotics Reports
- Accession number :
- edsair.doi.dedup.....88db83ed5b8c6cdd45898e48987004f0