Drone Flight Planning for Safe Urban Operations: UTM Requirements and Tools

Besada, Juan A.; Campaña, Iván; Bergesio, Luca; Bernardos, Ana M.; Miguel, Gonzalo de

doi:10.1109/percomw.2019.8730856

Cited by 11 publications

(9 citation statements)

References 16 publications

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“…The flight plans can be a time-ordered combination of two different specifications, described more in depth in [17]: Linear segments to be followed by the aircraft, with associated height and time constraints.…”

Section: Deviations Detectormentioning

confidence: 99%

Air Tracking and Monitoring for Unmanned Aircraft Traffic Management

2019

2019 Integrated Communications, Navigation and Surveillance Conference (ICNS)

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The large increase in the sale of drones as well as their use in more and more aspects of daily life has led to the emergence of increasingly voices warning of the need to track and monitoring these drones. The prototype UTM monitoring system to be described in this paper is aimed to address this problem. It is implemented as a microservice to be inserted in a complete UTM SW ecosystem, processing telemetry and other sensors position/velocity information to be able to track, monitor and control the good operation and thus avoid the possible conflicts or accidents that can cause due to a bad use or malfunction of them. This prototype may also allow the analysis of the performance without putting at risk neither people nor material goods since all drone data may be simulated. Also, it has been tested using real data from industrial multirotors.

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Section: Deviations Detectormentioning

confidence: 99%

Air Tracking and Monitoring for Unmanned Aircraft Traffic Management

2019

2019 Integrated Communications, Navigation and Surveillance Conference (ICNS)

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“…Currently, communication between the control terminal and the drone or the transmission of high-definition images uses the 2.4GHz band signal. Rogue drones have caused a serious threat to the normal operation at civil airports [8]. Airports have been closed due to unidentified drones [9].…”

Section: Introductionmentioning

confidence: 99%

“…Active radar cannot be used to identify drones because their radar cross section is too small. High degree of electromagnetic radiation in urban areas raises the concern of residents so when drones become more ubiquitous, some urban or restricted areas will become no-fly zones [8]. Small and passive radars [10][11][12] that do not transmit signals will then become necessary [13].…”

Section: Introductionmentioning

confidence: 99%

Positioning for Search and Rescue in GPS-Denied Area by Distributed WiFi RSS-Based DoA Modules

Huang

2022

IEEE Access

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Environmental factors affect the Received Signal Strength (RSS) so the received data exhibit random propagation characteristics, such as fading and shadowing effects. This study proposes a Direction of Arrival (DoA) module for the Search and Rescue (SaR) or anti-drone applications, which uses patch antennas and a rat-race coupler as the receivers. An angular estimation is presented for WiFi positioning, using optimally placed DoA antennas and a pseudo-inverse algorithm. The experiment is performed in a university campus with the device under test (DUT) as the transmitter. Using four DoA antennas as receivers at the corners of a 100m×100m region, the mean positioning deviation is about 2m, which is 2% of the region. The confidence range for the estimated positions is also calculated.

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“…Moreover, at least 150,000 are expected to operate in an urban environment for multiple delivery purposes. More recently, even more urban unmanned aerial system (UAS) applications have been explored, specifically the inspection and monitoring of several urban infrastructures [2,3]. Safety automation within unmanned aviation is a priority, as drones must be capable of conflict detection and resolution (CD&R) without human intervention.…”

Section: Introductionmentioning

confidence: 99%

Velocity Obstacle Based Conflict Avoidance in Urban Environment with Variable Speed Limit

Ribeiro

Ellerbroek

2021

Aerospace

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Current investigations into urban aerial mobility, as well as the continuing growth of global air transportation, have renewed interest in conflict detection and resolution (CD&R) methods. The use of drones for applications such as package delivery, would result in traffic densities that are orders of magnitude higher than those currently observed in manned aviation. Such densities do not only make automated conflict detection and resolution a necessity, but will also force a re-evaluation of aspects such as coordination vs. priority, or state vs. intent. This paper looks into enabling a safe introduction of drones into urban airspace by setting travelling rules in the operating airspace which benefit tactical conflict resolution. First, conflicts resulting from changes of direction are added to conflict resolution with intent trajectory propagation. Second, the likelihood of aircraft with opposing headings meeting in conflict is reduced by separating traffic into different layers per heading–altitude rules. Guidelines are set in place to make sure aircraft respect the heading ranges allowed at every crossed layer. Finally, we use a reinforcement learning agent to implement variable speed limits towards creating a more homogeneous traffic situation between cruising and climbing/descending aircraft. The effects of all of these variables were tested through fast-time simulations on an open source airspace simulation platform. Results showed that we were able to improve the operational safety of several scenarios.

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Drone Flight Planning for Safe Urban Operations: UTM Requirements and Tools

Cited by 11 publications

References 16 publications

Air Tracking and Monitoring for Unmanned Aircraft Traffic Management

Air Tracking and Monitoring for Unmanned Aircraft Traffic Management

Positioning for Search and Rescue in GPS-Denied Area by Distributed WiFi RSS-Based DoA Modules

Velocity Obstacle Based Conflict Avoidance in Urban Environment with Variable Speed Limit

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