Speed Approach for UAV Collision Avoidance

Berdonosov, Victor D.; Zivotova, A.A.; Naing, Zaw Htet; Zhuravlev, D.O.

doi:10.1088/1742-6596/1015/5/052002

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…UAV trajectories were estimated by two or three waypoints of trajectory obtained from the ADS-B system. It calculated a point of the UAVs' collision by defining the crossing points of trajectories from two cut-off values in the critical speed range [34]. Similarly, the second publication proposed a distance-limiting scheme to verify the flight distance and trajectory in the ADS-B transmitted messages from nearby UAVs [35].…”

Section: Ads-b Researchmentioning

confidence: 99%

UAS Traffic Management Communications: The Legacy of ADS-B, New Establishment of Remote ID, or Leverage of ADS-B-Like Systems?

Ruseno

Lin

Chang

2022

Drones

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Unmanned aerial system (UAS) traffic management (UTM) requires each UAS to communicate with each other and to other stakeholders involved in the operation. In practice, there are two types of wireless communication systems established in the UAS community: automatic dependent surveillance broadcast (ADS-B) and remote identification (Remote ID). In between these two systems, there is ADS-B-like communication which leverages using other types of communications available in the market for the purpose of UTM. This review aims to provide an insight into those three systems, based on the published standard documents and latest research development. It also suggests how to construct a feasible communication architecture. The integrative approach is used in this literature review. The review categorization includes definition, data format, technology used, and research applications, and any remaining issues are discussed. The similarities and differences of each system are elaborated, covering practical findings. In addition, the SWOT analysis is conducted based on the findings. Lastly, multi-channel communication for UTM is proposed as a feasible solution in the UTM operation.

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Section: Ads-b Researchmentioning

confidence: 99%

UAS Traffic Management Communications: The Legacy of ADS-B, New Establishment of Remote ID, or Leverage of ADS-B-Like Systems?

Ruseno

Lin

Chang

2022

Drones

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“…In the second planning stage, in order to prevent a collision from occurring, the vehicle control system has to be able to cope with the following tasks [ 22 ]: Detect possible collision threats. Analyze the actual collision probability and define decision criteria.…”

Section: Introductionmentioning

confidence: 99%

“…Freitas [ 27 ] also pointed out that there are environments in which the telemetry required by these systems is not available, such as in indoor environments. For its part, some solutions for collision avoidance of UAV systems implementing ADS-B technologies are found in the literature [ 22 , 28 ] to estimate the current position of vehicles and share these estimates with others. It should be noted that ADS-B would only provide information from other friendly vehicles and not from any other type of obstacles.…”

Section: Introductionmentioning

confidence: 99%

Path Planning and Collision Risk Management Strategy for Multi-UAV Systems in 3D Environments

López

Muñoz

Quevedo

et al. 2021

Sensors

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Multi-UAV systems are attracting, especially in the last decade, the attention of researchers and companies of very different fields due to the great interest in developing systems capable of operating in a coordinated manner in complex scenarios and to cover and speed up applications that can be dangerous or tedious for people: search and rescue tasks, inspection of facilities, delivery of goods, surveillance, etc. Inspired by these needs, this work aims to design, implement and analyze a trajectory planning and collision avoidance strategy for multi-UAV systems in 3D environments. For this purpose, a study of the existing techniques for both problems is carried out and an innovative strategy based on Fast Marching Square—for the planning phase—and a simple priority-based speed control—as the method for conflict resolution—is proposed, together with prevention measures designed to try to limit and reduce the greatest number of conflicting situations that may occur between vehicles while they carry out their missions in a simulated 3D urban environment. The performance of the algorithm is evaluated successfully on the basis of certain conveniently chosen statistical measures that are collected throughout the simulation runs.

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Implementation of the Speed Approach for UAV Collision Avoidance in Dynamic Environment

Berdonosov¹,

Zivotova²,

Zhuravlev³

et al. 2018

2018 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)

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Speed Approach for UAV Collision Avoidance

Cited by 4 publications

References 7 publications

UAS Traffic Management Communications: The Legacy of ADS-B, New Establishment of Remote ID, or Leverage of ADS-B-Like Systems?

UAS Traffic Management Communications: The Legacy of ADS-B, New Establishment of Remote ID, or Leverage of ADS-B-Like Systems?

Path Planning and Collision Risk Management Strategy for Multi-UAV Systems in 3D Environments

Implementation of the Speed Approach for UAV Collision Avoidance in Dynamic Environment

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