scholarly journals Aerial Robotics: State-based Conflict Detection and Resolution (Detect and Avoid) in High Traffic Densities and Complexities

Author(s):  
Jacco M. Hoekstra ◽  
Joost Ellerbroek

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.

2011 ◽  
Vol 65 (1-4) ◽  
pp. 495-505 ◽  
Author(s):  
Roberto Conde ◽  
David Alejo ◽  
Jose Antonio Cobano ◽  
Antidio Viguria ◽  
Aníbal Ollero

2020 ◽  
Vol 17 (4) ◽  
pp. 172988142092501
Author(s):  
Fran Real ◽  
Arturo Torres-González ◽  
Pablo Ramón-Soria ◽  
Jesús Capitán ◽  
Aníbal Ollero

This article presents a software layer to abstract users of unmanned aerial vehicles from the specific hardware of the platform and the autopilot interfaces. The main objective of our unmanned aerial vehicle abstraction layer (UAL) is to simplify the development and testing of higher-level algorithms in aerial robotics by trying to standardize and simplify the interfaces with the unmanned aerial vehicles. Unmanned aerial vehicle abstraction layer supports operation with PX4 and DJI autopilots (among others), which are current leading manufacturers. Besides, unmanned aerial vehicle abstraction layer can work seamlessly with simulated or real platforms and it provides calls to issue standard commands such as taking off, landing or pose, and velocity controls. Even though unmanned aerial vehicle abstraction layer is under continuous development, a stable version is available for public use. We showcase the use of unmanned aerial vehicle abstraction layer with a set of applications coming from several European research projects, where different academic and industrial entities have adopted unmanned aerial vehicle abstraction layer as a common development framework.


2018 ◽  
Vol 25 (4) ◽  
pp. 96-97 ◽  
Author(s):  
Anibal Ollero ◽  
Kimon Valavanis ◽  
Yangquan Chen

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