A software platform for vision-based UAV autonomous landing guidance based on markers estimation

Xu, Xiaojun; Wang, Zhao; Deng, Yimin

doi:10.1007/s11431-018-9382-7

Cited by 15 publications

(5 citation statements)

References 33 publications

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“…Additionally, they also discussed the design considerations for integrating vision-based schemes with radar-based and other schemes for landing. There have also been numerous studies dedicated to enhancing the performance of algorithms for feature extraction and pose estimation during landing [7] [8]. However, due to the absence of the high-fidelity simulation platform, many of the current algorithms for autonomous landing on aircraft carriers have not been tested in a relatively realistic simulation environment.…”

Section: Several Institutions Have Undertaken Research On Vision-basedmentioning

confidence: 99%

Photorealistic simulation platform for autonomous landing of fixed-wing aircraft

Xue,

Sun,

et al. 2022

JGPS

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To investigate the vision-based autonomous landing of fixed-wing aircraft, we propose a photorealistic simulation platform that leverages ROS, Unreal Engine, and Pixhawk 4. This platform adopts a software-in-the-loop model consisting of rendering, control, communication, and sensor modules. To achieve realistic rendering control, the seawater hydrodynamics and fixed-wing aircraft dynamics are modeled. Based on the platform, we create simulation scenarios under different weather and disturbance conditions for autonomous landing of the aircraft carrier. The platform solves the problem that datasets of related scenes are difficult to collect and experiments are difficult to carry out. To verify the developability of the platform, we design and implement a runway line feature point extraction method (vision-based pose estimation algorithm), and evaluate the performance of the method under various conditions. Experiments show that our software-in-the-loop platform enables vision-based algorithm verification and supports simulation research for the autonomous landing of fixed-wing aircraft.

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Section: Several Institutions Have Undertaken Research On Vision-basedmentioning

confidence: 99%

Photorealistic simulation platform for autonomous landing of fixed-wing aircraft

Xue,

Sun,

et al. 2022

JGPS

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“…In terms of GPS localization, the authors in ref. [8] used a combination of GPS localization and visual localization to localise by identifying cooperative target points and verified the feasibility of the system through simulation experiments. In ref.…”

Section: Introductionmentioning

confidence: 99%

A nonlinear model predictive control based control method to quadrotor landing on moving platform

Zhu

Zhang

2023

Cognitive Comp and Systems

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To address the problems that the UAV (Unmanned Aerial Vehicle) is vulnerable to distance limitation and environmental interference when tracking and landing on a moving platform autonomously, the accuracy of position estimation relying only on visual odometry in the point‐featureless environment is insufficient, and the traditional linear path planning solvers and controllers cannot meet the fast and safe requirements under the non‐linear strong coupling characteristics of the cooperative landing system, an nonlinear model predictive control (NMPC)‐based multi‐sensor fusion method for autonomous landing of UAVs on motion platforms is proposed. The UAV combines the position information obtained by the RTK‐GPS and the image information obtained by the camera and uses the special identification codes placed in the landing area of the UAV to carry out cooperative planning and navigation while using UKF (Unscented Kalman Filter) to estimate the position of the moving platform and using the interference‐resistant NMPC algorithm to optimise the UAV tracking trajectory based on the precise positioning of the two platforms to achieve the autonomous landing control of the UAV. The simulation and practical experimental results show the feasibility and effectiveness of the proposed algorithm and the autonomous landing control method and provide an effective solution for the autonomous landing of quadrotors on arbitrarily moving platforms.

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“…Due to the problems of low precision, large error and high cost in traditional navigation methods, while autonomous landing methods with higher accuracy and smaller error are required in plant protection, logistics, military and other fields, the combination of image processing technology 18 and UAV technology has become a new trend. In the field of UAV landing technology, there are relatively complete schemes for static landing sites, and the technology is also becoming mature 19 – 21 . In 2020, Yang et al 22 designed a machine vision system to assist the automatic landing of UAV and detect the landing site on the horizontal ground.…”

Section: Introductionmentioning

confidence: 99%

Research on double camouflage encryption mechanism of QR code based on UAV landing scenario

Ye,

2023

Sci Rep

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Usually, the landing area of the drone is presented with QR code images, so it is crucial to ensure the information security of the landing area and prevent it from being occupied by other users. This paper proposes a double camouflage encryption method of QR code based on UAV landing scenario. For the QR code image required for UAV landing, the private key and carrier image are used to complete double camouflage encryption, and then the public key is modulated according to the principle of ghost imaging to obtain the ciphertext. After receiving the ciphertext, the receiver first decrypts the camouflage image according to the public key, and then decrypts the QR code image using the private key. The UAV receives ciphertext information through the detector, for non-users, the correct QR code image cannot be decrypted through the wrong key. Even if the eavesdropper obtains the public key information, they can only decrypt the camouflage image and cannot land. For our users, the public key and the double private key can decrypt the correct QR code image for landing. This encryption method can effectively decrypt the image at non-full sampling rate, while also resisting the external noise attack, and has high security.

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A software platform for vision-based UAV autonomous landing guidance based on markers estimation

Cited by 15 publications

References 33 publications

Photorealistic simulation platform for autonomous landing of fixed-wing aircraft

Photorealistic simulation platform for autonomous landing of fixed-wing aircraft

A nonlinear model predictive control based control method to quadrotor landing on moving platform

Research on double camouflage encryption mechanism of QR code based on UAV landing scenario

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