Autonomous landing of a quadrotor on an UGV

Fu, Mengyin; Yang, Yi; Shi, Chao

doi:10.1109/icma.2016.7558697

Cited by 19 publications

(9 citation statements)

References 12 publications

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“…Black and white patterns such as Apriltags [63] and Quick Response (QR) codes [64] are also used as markers. Mengyin Fu et al [64] uses a mixed marker with a QR code inside of a circle.…”

Section: Algorithms For Uav Precision Landingmentioning

confidence: 99%

“…Black and white patterns such as Apriltags [63] and Quick Response (QR) codes [64] are also used as markers. Mengyin Fu et al [64] uses a mixed marker with a QR code inside of a circle. This way, it is possible to detect the shape of the circle when the vehicle is further away and then the QR code when it is closer, thus allowing to have a pose with a lower error.…”

Section: Algorithms For Uav Precision Landingmentioning

confidence: 99%

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Precision Landing for Low-Maintenance Remote Operations with UAVs

Moreira¹,

Azevedo

Ferreira³

et al. 2021

Drones

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This work proposes a fully integrated ecosystem composed of three main components with a complex goal: to implement an autonomous system with a UAV requiring little to no maintenance and capable of flying autonomously. For this goal, was developed an autonomous UAV, an online platform capable of its management and a landing platform to enclose and charge the UAV after flights. Furthermore, a precision landing algorithm ensures no need for human intervention for long-term operations.

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“…Black and white patterns such as Apriltags [63] and Quick Response (QR) codes [64] are also used as markers. Mengyin Fu et al [64] uses a mixed marker with a QR code inside of a circle.…”

Section: Algorithms For Uav Precision Landingmentioning

confidence: 99%

Section: Algorithms For Uav Precision Landingmentioning

confidence: 99%

Precision Landing for Low-Maintenance Remote Operations with UAVs

Moreira¹,

Azevedo

Ferreira³

et al. 2021

Drones

View full text Add to dashboard Cite

show abstract

“…Vision-based techniques, as in [ 18 ], to estimate marker locations, intercepted UAV states, or landing platform location are quite commonly used, especially with attention paid to robustifying approaches, as in [ 19 ]. The approaches to the landing problem, available in the literature, as in [ 20 , 21 , 22 ] or [ 23 ], do not focus on optimization of the landing task itself, but on building control laws to land the UAV in the autonomous mode based on, e.g., detected markers. Autonomous outdoor landing procedures using static marker tracking are proposed in [ 24 , 25 , 26 ].…”

Section: Introductionmentioning

confidence: 99%

Altitude Measurement-Based Optimization of the Landing Process of UAVs

Horla

Giernacki

Cieślak

et al. 2021

Sensors

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The paper addresses the loop shaping problem in the altitude control of an unmanned aerial vehicle to land the flying robot with a specific landing scenario adopted. The proposed solution is optimal, in the sense of the selected performance indices, namely minimum-time, minimum-energy, and velocity-penalized related functions, achieving their minimal values, with numerous experiments conducted throughout the development and preparation to the Mohamed Bin Zayed International Robotics Challenge (MBZIRC 2020). A novel approach to generation of a reference altitude trajectory is presented, which is then tracked in a standard, though optimized, control loop. Three landing scenarios are considered, namely: minimum-time, minimum-energy, and velocity-penalized landing scenarios. The experimental results obtained with the use of the Simulink Support Package for Parrot Minidrones, and the OptiTrack motion capture system proved the effectiveness of the proposed approach.

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“…The authors of (Jung et al, 2015), (Jung et al, 2016), (Fu et al, 2016) and (Ghommam and Saad, 2017) deal with simulations of landing marker detection. They also propose guidance laws for autonomous landing, but also in simulation.…”

Section: Introductionmentioning

confidence: 99%

Autonomous landing on a moving vehicle with an unmanned aerial vehicle

Báča

Štěpán

Spurný

et al. 2019

Journal of Field Robotics

125

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This paper addresses the perception, control and trajectory planning for an aerial platform to identify and land on a moving car at 15 km/h. The hexacopter Unmanned Aerial Vehicle (UAV), equipped with onboard sensors and a computer, detects the car using a monocular camera and predicts the car future movement using a nonlinear motion model. While following the car, the UAV lands on its roof, and it attaches itself using magnetic legs. The proposed system is fully autonomous from takeoff to * http://mrs.felk.cvut.cz † http://www.grasp.upenn.edu This is the author manuscript accepted for publication and has undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record.

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Autonomous landing of a quadrotor on an UGV

Cited by 19 publications

References 12 publications

Precision Landing for Low-Maintenance Remote Operations with UAVs

Precision Landing for Low-Maintenance Remote Operations with UAVs

Altitude Measurement-Based Optimization of the Landing Process of UAVs

Autonomous landing on a moving vehicle with an unmanned aerial vehicle

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