2024
DOI: 10.1109/access.2024.3349419
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Integrating Computer Vision and Photogrammetry for Autonomous Aerial Vehicle Landing in Static Environment

Jayasurya Arasur Subramanian,
Vijanth Sagayan Asirvadam,
Saiful Azrin B. M. Zulkifli
et al.

Abstract: In recent years, the research has focused firmly on Autonomous Aerial Vehicles (AAVs) owing to their vast array of potential applications, to aid those applications this study presents a technical approach for source localization and landing trajectory identification for Autonomous Aerial Vehicle (AAV) landing, leveraging computer vision and photogrammetry techniques. The proposed method aims to achieve accurate and robust localization of the landing target area and precise determination of the AAV's landing t… Show more

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Cited by 6 publications
(1 citation statement)
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“…In the absence of radial distortion, the coordinates (X c , Y c ) in the image coordinates are given by [26][27][28][29][30][31][32]  …”
Section: Ugv Pose Estimationmentioning
confidence: 99%
“…In the absence of radial distortion, the coordinates (X c , Y c ) in the image coordinates are given by [26][27][28][29][30][31][32]  …”
Section: Ugv Pose Estimationmentioning
confidence: 99%