Geometrically analyzed target localization algorithm based on IMU-LK optical flow

Chenrui Nie; Jing Fu; Kang Wang

doi:10.1117/12.3023475

18 March 2024 Geometrically analyzed target localization algorithm based on IMU-LK optical flow

Chenrui Nie, Jing Fu, Kang Wang

Proceedings Volume 13104, Advanced Fiber Laser Conference (AFL2023); 131043G (2024) https://doi.org/10.1117/12.3023475
Event: Advanced Fiber Laser Conference (AFL2023), 2023, Shenzhen, China

Abstract

Unmanned Aerial Vehicle (UAV) can carry various types of visual sensors, and the image information it collects can be applied to visual tasks such as target localization and target recognition. This paper proposes a geometric analysis target positioning algorithm based on IMU-LK optical flow based on the image information collected by UAV visual sensors, and the experimental results show that compared with the traditional geometric analysis target positioning algorithm, the geometric analysis target positioning algorithm based on IMU-LK optical flow has a better target positioning accuracy, and it can be adapted to the demand of real-time passive positioning in complex environments.

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

Citation Download Citation

Chenrui Nie, Jing Fu, and Kang Wang "Geometrically analyzed target localization algorithm based on IMU-LK optical flow", Proc. SPIE 13104, Advanced Fiber Laser Conference (AFL2023), 131043G (18 March 2024); https://doi.org/10.1117/12.3023475

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