2014
DOI: 10.2478/ama-2014-0036
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Vision Analysis System for Autonomous Landing of Micro Drone

Abstract: This article describes a concept of an autonomous landing system of UAV (Unmanned Aerial Vehicle). This type of device is equipped with the functionality of FPV observation (First Person View) and radio broadcasting of video or image data. The problem is performance of a system of autonomous drone landing in an area with dimensions of 1m × 1m, based on CCD camera coupled with an image transmission system connected to a base station. Captured images are scanned and landing marker is detected. For this purpose, … Show more

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Cited by 16 publications
(15 citation statements)
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“…The application of SSIM, CW-SSIM and STSIM metrics with the division of the image of the 3D printed surface into 4 and 16 parts was presented in the paper [79], whereas the application of feature similarity metrics (RFSIM and FSIM) was roughly analysed in [80]. An improved version of the application of SSIM, with the use of the Monte Carlo method to decrease the computational complexity, was proposed in [81], although its efficient application requires the additional phase adjustment of randomly chosen image fragments.…”
Section: Alternative Applications Of Iqa Methodsmentioning
confidence: 99%
“…The application of SSIM, CW-SSIM and STSIM metrics with the division of the image of the 3D printed surface into 4 and 16 parts was presented in the paper [79], whereas the application of feature similarity metrics (RFSIM and FSIM) was roughly analysed in [80]. An improved version of the application of SSIM, with the use of the Monte Carlo method to decrease the computational complexity, was proposed in [81], although its efficient application requires the additional phase adjustment of randomly chosen image fragments.…”
Section: Alternative Applications Of Iqa Methodsmentioning
confidence: 99%
“…In [4], two colored discs are used as a landing target, which can be detected by a blob detector and 2 color filters. In [5], a non-specific landing target is proposed which is a box with an X letter in it. Instead of using color filters, the paper turned to detector that employed local features.…”
Section: Related Workmentioning
confidence: 99%
“…Object detection is a common topic and has attracted the most interest in recent studies. In object detection, traditional handcrafted feature-based methods showed limited performance [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 ]. A competitive approach is to apply deep-learning-based methods, which have gained popularity in recent years [ 13 , 14 , 15 , 16 ].…”
Section: Introductionmentioning
confidence: 99%