Analysis of optical flow methods for estimating UAV velocity in low-features environment

Issac Niwas Swamidoss; Abdulla Al Mansoori; Shahanas Shajahan; Tarek Bouamer; Hamad Al Remeithi; Abdulrahman Al Marzooqi; Slim Sayadi

doi:10.1117/12.3023033

28 May 2024 Analysis of optical flow methods for estimating UAV velocity in low-features environment

Issac Niwas Swamidoss, Abdulla Al Mansoori, Shahanas Shajahan, Tarek Bouamer, Hamad Al Remeithi, Abdulrahman Al Marzooqi, Slim Sayadi

Author Affiliations +

Proceedings Volume 13083, SPIE Future Sensing Technologies 2024; 130831Q (2024) https://doi.org/10.1117/12.3023033
Event: SPIE Future Sensing Technologies, 2024, Yokohama, Japan

Conference Poster

Abstract

Unmanned Aerial Vehicles (UAVs) are gaining more popularity for various applications such as surveillance, monitoring and mapping. However, navigating UAVs in low-features areas or GPS-denied areas poses a significant challenge, as conventional GPS-based method for estimating velocity become ineffective. Optical flow algorithms have become a promising approach for UAV velocity estimation in such scenarios. This paper proposes a novel method for UAV velocity estimation for a vision-based navigation system in GPS-denied low-features environments. The proposed method is evaluated and compared to various optical flow methods considering computational efficiency, accuracy, and robustness when predicting UAV velocity. Understanding the strengths and limitations of these optical flow methods will certainly enable the development and implementation of UAV navigation systems in challenging environments.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Issac Niwas Swamidoss, Abdulla Al Mansoori, Shahanas Shajahan, Tarek Bouamer, Hamad Al Remeithi, Abdulrahman Al Marzooqi, and Slim Sayadi "Analysis of optical flow methods for estimating UAV velocity in low-features environment", Proc. SPIE 13083, SPIE Future Sensing Technologies 2024, 130831Q (28 May 2024); https://doi.org/10.1117/12.3023033

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