A Comparative Study of Collision Avoidance Techniques for Unmanned Aerial Vehicles

Alexopoulos, Alexander; Kandil, Amr; Orzechowski, Piotr; Badreddin, Essameddin

doi:10.1109/smc.2013.338

Cited by 38 publications

(10 citation statements)

References 7 publications

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“…This approach utilizes some geometric methods to calculate the collision free path during the flight. The flight map was divided into a grid as we shown in Figure 4 , then the collision free path is found using the search algorithm [14].…”

Section: Path Planning Approachmentioning

confidence: 99%

“…In this work, the reliable communication link between the UAV and GCS is required. Image detection was processed Geometric Approach 1-Point of Closest [35] 2-Collision Cone [37] 3-Dubins Paths [39] Potential Field Approach [37,41] Path Planning Approach [14] Vision-Based Approach [42] Collision Avoidance Algorithms Figure 6: Main UAVs Collision Avoidance Methods by an onboard processor and the detection results will be transmitted to the GCS. The GCS executed the proposed algorithm and transmitted commands for the avoidance maneuver back to the autopilot.…”

Section: Vision-based Approachmentioning

confidence: 99%

See 1 more Smart Citation

An Overview of Collision Avoidance Approaches and Network Architecture of Unmanned Aerial Vehicles (UAVs)

Sawalmeh¹,

Othman²

2018

IJET

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As an autonomous vehicle, Unmanned Aerial Vehicles (UAVs) are subjected to several challenges. One of the challenges is for UAV to be able to avoid collision. Many collision avoidance methods have been proposed to address this issue. Furthermore, in a multi-UAV system, it is also important to address communication issue among UAVs for cooperation and collaboration. This issue can be addressed by setting up an ad-hoc network among UAVs. There is also a need to consider the challenges in the deployment of UAVs, as well as, in the development of collision avoidance methods and the establishment of communication for cooperation and collaboration in a multi-UAV system. In this paper, we present general challenges in the deployment of UAV and comparison of UAV communication services based on its operating frequency. We also present major collision avoidance approaches, and specifically discuss collision avoidance approaches that are suitable for indoor applications. We also present the Flying Ad-hoc Networks (FANET) network architecture, communication and routing protocols for each Open System Interconnection (OSI) communication layers.

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Section: Path Planning Approachmentioning

confidence: 99%

Section: Vision-based Approachmentioning

confidence: 99%

An Overview of Collision Avoidance Approaches and Network Architecture of Unmanned Aerial Vehicles (UAVs)

Sawalmeh¹,

Othman²

2018

IJET

View full text Add to dashboard Cite

show abstract

“…Another evaluation method for OA is done in a paper by Alexopoulos et al (2013), no standardized method is proposed but a comparison between three avoidance methods is being made. The methods are compared based on computational cost and on the amount of collisions in thirteen predefined environments.…”

Section: Problem Statement and Research Questions 2-1 Problem Statementmentioning

confidence: 99%

Performance evaluation in obstacle avoidance

Nous

Meertens

Wagter

et al. 2016

2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

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“…Inertial measurement unit (IMU) signal generators have been used in numerous engineering fields for algorithm testing and verification to reduce experimental costs and shorten developing time under laboratory conditions. It can be used in industrial robots for motion control [ 1 , 2 , 3 ], path planning of unmanned aerial vehicles (UAV) [ 4 ], tightly coupled integrated navigation research [ 5 , 6 , 7 ] and guidance system simulation [ 8 ]. A Global Navigation Satellite System (GNSS) signal simulator is required to generate multiple synchronous signals, one for each satellite in view, and to generate consistent navigation data for the receiver to be able to compute the position.…”

Section: Introductionmentioning

confidence: 99%

IMU Signal Generator Based on Dual Quaternion Interpolation for Integration Simulation

Liu

Tang

et al. 2018

Sensors

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This paper focuses on the problem of high-update-rate and high accuracy inertial measurement unit signal generation. In order to be in accordance with the vehicle’s kinematic and dynamic characteristics as well as the characteristics of pseudorange of post-processed global navigation satellite system and their rate measurements, a novel dual quaternion interpolation and analytic integration algorithm based on actual flight data is proposed. The proposed method can simplify the piecewise analytical expressions of angular rates, angular increments and specific force integral increments. Norm corrections are adopted as constraint conditions to guarantee the accuracy of the signals. Numerical simulations are conducted to validate the method’s performance.

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A Comparative Study of Collision Avoidance Techniques for Unmanned Aerial Vehicles

Cited by 38 publications

References 7 publications

An Overview of Collision Avoidance Approaches and Network Architecture of Unmanned Aerial Vehicles (UAVs)

An Overview of Collision Avoidance Approaches and Network Architecture of Unmanned Aerial Vehicles (UAVs)

Performance evaluation in obstacle avoidance

IMU Signal Generator Based on Dual Quaternion Interpolation for Integration Simulation

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