TY  - JOUR
VL  - 8
JF  - IEEE Sensors Letters
N1  - cited By 0
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189165747&doi=10.1109%2fLSENS.2024.3381931&partnerID=40&md5=51470e76ddacb0cba4f78d894fcf7845
A1  - Subramanian, J.A.
A1  - Asirvadam, V.S.
A1  - Zulkifli, S.A.B.M.
A1  - Lagisetty, R.K.
A1  - Shanthi, N.
Y1  - 2024///
PB  - Institute of Electrical and Electronics Engineers Inc.
SP  - 1
AV  - none
ID  - scholars19744
EP  - 4
N2  - 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.
SN  - 24751472
KW  - Computer vision; Feature extraction; Image reconstruction; Landing; Motion planning; Photogrammetry; Stereo image processing; Surface reconstruction; Three dimensional displays
KW  -  3D reconstruction; Disaster-response; Features extraction; Images processing; Images reconstruction; Landing area; Point cloud compression; Point-clouds; Surfaces reconstruction; Three-dimensional display
KW  -  Antennas
IS  - 4
TI  - AAV Landing Area 3-D Reconstruction Using Photogrammetric Approach
ER  -