Efficient Processing Methodology for UAV Flight Path Detection

Bhattacherjee, S.S. and Rajalakshmi, P and et al, . (2020) Efficient Processing Methodology for UAV Flight Path Detection. In: 2020 IEEE International Conference on Computing, Power and Communication Technologies, GUCON 2020, 2 October 2020 - 4 October 2020.

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Unmanned Areal Vehicle (UAV) based imagery is an emerging technology that has penetrated numerous verticals such as remote sensing, precision agriculture, land surveying. Various types of sensors are mounted onto UAV, and the images of the area of interest are captured. To get a complete distortionless areal view of the area, an orthomosaic is created using the captured images on which further analysis is done. But the traditional orthomosaic creation techniques are tedious, time-consuming, and also computationally complex. In this paper, a novel algorithm is proposed which speeds up the region of interest (ROI) detection significantly. In this method, the UAV flight path is divided into multiple Sub-Paths, and each path is processed parallelly. This method is universal and drastically improves the processing speed for any set of UAV images. It is observed that the algorithm reduces the computation time by around 75%.

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IITH Creators:
IITH CreatorsORCiD
Rajalakshmi, Phttps://orcid.org/0000-0002-7252-6728
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Area of interest; Computation time; Emerging technologies; Land surveying; Novel algorithm; Path detections; Processing speed; The region of interest (ROI)
Subjects: Electrical Engineering
Divisions: Department of Electrical Engineering
Depositing User: . LibTrainee 2021
Date Deposited: 13 Jul 2021 05:02
Last Modified: 17 Jun 2022 09:58
URI: http://raiith.iith.ac.in/id/eprint/8255
Publisher URL: http://doi.org/10.1109/GUCON48875.2020.9231136
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