Conflict Detection and Resolution System Architecture for Unmanned Aerial Vehicles in Civil Airspace

Jenie, Yazdi I.; Kampen, E. van; Ellerbroek, Joost

doi:10.2514/6.2015-0483

Cited by 9 publications

(8 citation statements)

References 56 publications

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“…This paper is an extension of the work originally reported in [63] by the same authors. The current paper contributes to this study by providing an improved categorization of the existing UAV CD&R methods in a comprehensive taxonomy with bigger literature to identify important future avenues of research in UAV CD&R systems.…”

Section: Introductionsupporting

confidence: 51%

Taxonomy of Conflict Detection and Resolution Approaches for Unmanned Aerial Vehicle in an Integrated Airspace

Jenie

Kampen

Ellerbroek

et al. 2017

IEEE Trans. Intell. Transport. Syst.

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(c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.Abstract-This paper proposes a taxonomy of Conflict Detection and Resolution (CD&R) approaches for Unmanned Aerial Vehicles (UAV) operation in an integrated airspace. Possible approaches for UAVs are surveyed and broken down based on their types of surveillance, coordination, maneuver, and autonomy. The factors are combined back selectively, with regard to their feasibility for operation in an integrated airspace, into several 'generic approaches' that form the CD&R taxonomy. These generic approaches are then attributed to a number of available method in the literature to determined their position in the overall CD&R scheme. The attribution shows that many proposed methods are actually unsuitable for operation in an integrated airspace. Furthermore, some part of the taxonomy does not have an adequate representative in the literature, suggesting the need to concentrate UAV CD&R research more in those particular parts. Finally, a multi-layered CD&R architecture is built from the taxonomy, implementing the concept of defense-in-depth to ensure UAVs safe operation in an integrated civil airspace.

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Section: Introductionsupporting

confidence: 51%

Taxonomy of Conflict Detection and Resolution Approaches for Unmanned Aerial Vehicle in an Integrated Airspace

Jenie

Kampen

Ellerbroek

et al. 2017

IEEE Trans. Intell. Transport. Syst.

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“…Unfortunately, at the same time, one might observe that the number of insufficiently experienced pilots is rising quickly. We are entering an age of RPAS at the same time (Jenie et al, 2015;Szczepa nski, 2015;Polak, 2018;Basmadji et al, 2012). Despite a short period of sharing the airspace, numerous cases of aviation occurrences which involved RPAS are known to have taken place; there have even been collisions between unmanned aerial vehicles and manned aircrafts.…”

Section: Problem Of Air Traffic Collisionsmentioning

confidence: 99%

Simulation studies of a vision intruder detection system

Rzucidło

Rogalski

Jaromi

et al. 2020

AEAT

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Purpose The purpose of this paper is to describe simulation research carried out for the needs of multi-sensor anti-collision system for light aircraft and unmanned aerial vehicles. Design/methodology/approach This paper presents an analysis related to the practical possibilities of detecting intruders in the air space with the use of optoelectronic sensors. The theoretical part determines the influence of the angle of view, distance from the intruder and the resolution of the camera on the ability to detect objects with different linear dimensions. It has been assumed that the detection will be effective for objects represented by at least four pixels (arranged in a line) on the sensor matrix. In the main part devoted to simulation studies, the theoretical data was compared to the obtained intruders’ images. The verified simulation environment was then applied to the image processing algorithms developed for the anti-collision system. Findings A simulation environment was obtained enabling reliable tests of the anti-collision system using optoelectronic sensors. Practical implications The integration of unmanned aircraft operations in civil airspace is a serious problem on a global scale. Equipping aircraft with autonomous anti-collision systems can help solve key problems. The use of simulation techniques in the process of testing anti-collision systems allows the implementation of test scenarios that may be burdened with too much risk in real flights. Social implications This paper aims for possible improvement of safety in light-sport aviation. Originality/value This paper conducts verification of classic flight simulator software suitability for carrying out anti-collision systems tests and development of a flight simulator platform dedicated to such tests.

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“…, for left turning δ χ = −1 , for right turning (10) The V avo for both direction are chosen from the set of V a solution that have at most two real members, which are the two closest solution from the current V o , satisfying the argument in equation (11).…”

Section: The Variation Of Conflict Resolutionmentioning

confidence: 99%

“…, for right turning (11) The variation of resolution is produced by alternating the distance where the avoidance started (d avo ), and the radius of the separation zone (r sep ). The former parameter affects the aggressiveness of the resolution: the closer the avoidance starting point from the obstacle, the more aggressive the maneuver will be.…”

Section: The Variation Of Conflict Resolutionmentioning

confidence: 99%

Safety Assessment of Unmanned Aerial Vehicle Operations in an Integrated Airspace

Jenie

Kampen

Ellerbroek

et al. 2016

AIAA Infotech @ Aerospace

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This paper focuses on the safety assessment of Unmanned Aerial Vehicles (UAVs) operating in an integrated airspace system. The assessment is based on series of Monte Carlo Simulations to include the effect of the variety of Conflict Detection and Resolution (CD&R) systems in each involved vehicle. The difficulty of using Monte Carlo simulations in the assessment, in which collision are rare to be sufficiently represented, is overcome by the use of a high density airspace with a periodic boundary condition. This setup, along with the randomization of the UAV states and the CD&R parameters, increases the number of conflicts and resolutions for each Monte Carlo sample to rapidly reach convergence. The parameters derived, including the mean ratio of time in which the vehicle are in either mission mode, avoidance mode, or in a Near Mid Air Collision (NMAC) situation, are compared to similar Monte Carlo simulation results where no CD&R system is used. The proposed method is a versatile safety assessment method for various encounter situations a UAV an its CD&R system might face in its operation in an integrated airspace system.

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Conflict Detection and Resolution System Architecture for Unmanned Aerial Vehicles in Civil Airspace

Cited by 9 publications

References 56 publications

Taxonomy of Conflict Detection and Resolution Approaches for Unmanned Aerial Vehicle in an Integrated Airspace

Taxonomy of Conflict Detection and Resolution Approaches for Unmanned Aerial Vehicle in an Integrated Airspace

Simulation studies of a vision intruder detection system

Safety Assessment of Unmanned Aerial Vehicle Operations in an Integrated Airspace

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