%0 Journal Article
%@ 24751472
%A Subramanian, J.A.
%A Asirvadam, V.S.
%A Zulkifli, S.A.B.M.
%A Lagisetty, R.K.
%A Shanthi, N.
%D 2024
%F scholars:19744
%I Institute of Electrical and Electronics Engineers Inc.
%J IEEE Sensors Letters
%K Computer vision; Feature extraction; Image reconstruction; Landing; Motion planning; Photogrammetry; Stereo image processing; Surface reconstruction; Three dimensional displays, 3D reconstruction; Disaster-response; Features extraction; Images processing; Images reconstruction; Landing area; Point cloud compression; Point-clouds; Surfaces reconstruction; Three-dimensional display, Antennas
%N 4
%P 1-4
%R 10.1109/LSENS.2024.3381931
%T AAV Landing Area 3-D Reconstruction Using Photogrammetric Approach
%U https://khub.utp.edu.my/scholars/19744/
%V 8
%X Autonomous aerial vehicles (AAVs) are increasingly being adopted in various applications, including surveillance, logistics, and disaster response. This letter explores the integration of photogrammetry techniques to reconstruct 3-D images of AAV landing areas. The motivation for this research lies in the need to enhance the safety and accuracy of AAV landings. Accurate 3-D reconstructions of landing areas are essential for effective path planning to ensure the secure and precise landing of AAVs. The proposed system establishes a framework that creates precise 3-D representations of the landing zone. Compared with the current conventional landing procedures, this system offers real-time, high-resolution 3-D insights into the landing area to enhance safety and accuracy across operations. In addition, the letter contributes to the broader field of photogrammetry and computer vision by addressing practical challenges in AAV applications and offering solutions with far-reaching implications. © 2024 IEEE.
%Z cited By 0