Using Ground-Based Passive Reflectors for Improving UAV Landing

Yasentsev, D. A.; Shevgunov, Timofey; Efimov, Evgeny; Tatarskiy, B. G.

doi:10.3390/drones5040137

Cited by 16 publications

(5 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The possibility of interference between 5G BSs and radar altimeter arises mainly during takeoff and landing procedures (Singh, 2017). This study focuses on altitudes associated with the landing phase in an urban environment, beginning where the aircraft aligns with the standard glide slope, a path that an airplane follow on its final approach to land (Yasentsev et al, 2021). This analysis primarily focuses on altitudes where interference could potentially occur, enabling us to determine accurately the specific circumstances and locations where interference mitigation techniques are required .…”

Section: Results and Countermeasuresmentioning

confidence: 99%

Airborne Safety in the Age of 5g: Assessing the Potential Interference Between C-Band and Aeronautical Radar Altimeter

Elsayem,

Elghamrawy,

Massoud

et al. 2023

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

Abstract. The recent deployment of 5G technology in the C-band frequency range has raised concerns regarding potential interference with aeronautical radar altimeters. 5G technology utilizes the C-band in the range of 3.7–3.98 GHz, which partially overlaps with the frequency range used by radar altimeters operating in the range of 4.2–4.4 GHz, resulting in an increased possibility of interference between the two systems. In this study, a comprehensive methodology was employed to conduct an interference analysis, investigating the compatibility between 5G wireless systems and radar altimeters. This involved implementing a realistic scenario that replicated the operational interaction between radar altimeters and 5G systems, with the goal of identifying the impact of 5G networks on radar altimeter performance. This paper outlines the scenarios leading to interference, and suggests feasible methods to overcome this issue.

show abstract

Section: Results and Countermeasuresmentioning

confidence: 99%

Airborne Safety in the Age of 5g: Assessing the Potential Interference Between C-Band and Aeronautical Radar Altimeter

Elsayem,

Elghamrawy,

Massoud

et al. 2023

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

show abstract

“…The ground-based navigation network can also be used to aid navigation and guidance purposes, for example, a ground-based augmented system-a classical approach for commercial aviation [76]. Also, the beacon-based ground systems have the potential to be used for UAV navigation and guidance purposes [77]. To plan the 4D trajectories safely, it is essential to have access to maps of the GNSS coverage and the availability of supplementary navigation networks.…”

Section: Communication Navigation Surveillancementioning

confidence: 99%

A Critical Review of Information Provision for U-Space Traffic Autonomous Guidance

Panov,

Ul Haq

2024

Aerospace

View full text Add to dashboard Cite

This paper identifies and classifies the essential constraints that must be addressed to allow U-space traffic autonomous guidance. Based on an extensive analysis of the state of the art in robotic guidance, physics of flight, flight safety, communication and navigation, uncrewed aircraft missions, artificial intelligence (AI), social expectations in Europe on drones, etc., we analyzed the existing constraints and the information needs that are of essential importance to address the identified constraints. We compared the identified information needs with the last edition of the U-space Concept of Operations and identified critical gaps between the needs and proposed services. A high-level methodology to identify, measure, and close the gaps is proposed.

show abstract

“…We can use a ground-based approach where the data can be acquired and processed using more advanced methods since we do not usually have tight payload restrictions. Regarding the ground-based applications, we can use stereo vision with a Pan-Tilt Unit (PTU) [83], multi-camera stereo vision with PTUs [84], multiple IR cameras [85], using passive Radio Frequency (RF) reflectors on the runaway [86], or using a monocular vision system [41,42]. In this article, we explored a ground-based approach for performing autonomous landing during the daytime on a ship (moving platform) using advanced algorithms, whose processing is impossible on low-power processors.…”

Section: Uav Trackingmentioning

confidence: 99%

Fixed-Wing Unmanned Aerial Vehicle 3D-Model-Based Tracking for Autonomous Landing

Santos

Lobo

Bernardino

2023

Drones

View full text Add to dashboard Cite

The vast increase in the available computational capability has allowed the application of Particle-Filter (PF)-based approaches for monocular 3D-model-based tracking. These filters depend on the computation of a likelihood function that is usually unavailable and can be approximated using a similarity metric. We can use temporal filtering techniques between filter iterations to achieve better results when dealing with this suboptimal approximation, which is particularly important when dealing with the Unmanned Aerial Vehicle (UAV) model symmetry. The similarity metric evaluation time is another critical concern since we usually want a real-time implementation. We explored, tested, and compared with the same dataset two different types of PFs, (i) an Unscented Bingham Filter (UBiF) and (ii) an Unscented Bingham–Gauss Filter (UBiGaF), using pose optimization in both implementations. Using optimization steps between iterations increases the convergence capability of the filter and decreases the obtained error. A new tree-based similarity metric approach is also explored based on the Distance Transform (DT), allowing a faster evaluation of the possibilities without losing accuracy. The results showed that the obtained pose estimation error is compatible with the automatic landing requirements.

show abstract

Using Ground-Based Passive Reflectors for Improving UAV Landing

Cited by 16 publications

References 44 publications

Airborne Safety in the Age of 5g: Assessing the Potential Interference Between C-Band and Aeronautical Radar Altimeter

Airborne Safety in the Age of 5g: Assessing the Potential Interference Between C-Band and Aeronautical Radar Altimeter

A Critical Review of Information Provision for U-Space Traffic Autonomous Guidance

Fixed-Wing Unmanned Aerial Vehicle 3D-Model-Based Tracking for Autonomous Landing

Contact Info

Product

Resources

About