Airborne platform attitude determination by using aerial image series

Tian, Xiangrui; Huang, Wei

doi:10.1049/iet-smt.2016.0389

Cited by 2 publications

(2 citation statements)

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“…Rawashdeh et al [ 14 ] and Ettinger et al [ 15 ] obtained the attitude angles by detecting changes in the horizon between two adjacent images from a single fisheye camera. Tian and Huang [ 16 ], Caballero et al [ 17 ], and Cesetti et al [ 18 ] matched features of sequential images from a single camera to obtain attitude angles by capturing natural landmarks on the ground. Li et al [ 19 ] obtained the pose with the uncalibrated multi-view images and the intrinsic camera parameters.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, the accuracy of most of these methods based on monocular cameras is dependent on the focal length of the lens employed. For example, with the method proposed by Tian and Huang [ 16 ], the accuracy is proportional to focal length. Eberli et al [ 21 ] imaged two concentric circles with a fixed-focus lens and determined the attitude angles from the deformation of these circles.…”

Section: Introductionmentioning

confidence: 99%

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Measurement of Unmanned Aerial Vehicle Attitude Angles Based on a Single Captured Image

Zhang

Ren

Deng

et al. 2018

Sensors

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The limited load capacity and power resources of small-scale fixed-wing drones mean that it is difficult to employ internal high-precision inertial navigation devices to assist with the landing procedure. As an alternative, this paper proposes an attitude measurement system based on a monocular camera. The attitude angles are obtained from a single captured image containing five coded landmark points using the radial constraint method and three-dimensional coordinate transformations. The landing procedure is simulated for pitch angles from −15∘ to −40∘, roll angles from −15∘ to +15∘ and yaw angles from −15∘ to +15∘. For roll and pitch angles of approximately 0∘ and −25∘, respectively, the accuracy of the method reaches 0.01∘ and 0.04∘. This UAV attitude measurement system obtains an attitude angle by a single captured image, which has great potential for assisting with the landing of small-scale fixed-wing UAVs.

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