Parallax rectification and stabilization technique for multiple objects tracking in wide area surveillance system

Swamidoss, Issacniwas; Sayadi, Slim; Hemeiri, Maya Al

doi:10.1117/12.2316486

Cited by 2 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In recent years, the concept of optical flow has gained significant relevance in robotics, particularly concerning image processing, motion detection, and visual navigation [6]- [10]. Optical flow algorithms show promise in estimating UAV velocity in GPS-denied or low-feature environments within the visual simulation platform [7].…”

Section: Introductionmentioning

confidence: 99%

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

Swamidoss,

Al Mansoori,

Shajahan

et al. 2024

SPIE Future Sensing Technologies 2024

View full text Add to dashboard Cite

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 proposed 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.

show abstract

Section: Introductionmentioning

confidence: 99%