An Underwater Structured Light Vision Calibration Method Considering Unknown Refractive Index Based on Aquila Optimizer

Aquila Optimizer (AO) is a well-known nature-inspired optimization algorithm (NIOA) that was created in 2021 based on the prey grabbing behavior of Aquila. AO is a population-based NIOA that has demonstrated its effectiveness in the field of complex and nonlinear optimization in a short period of time. As a result, the purpose of this study is to provide an updated survey on the topic. This survey accurately reports on the designed enhanced AO variations and their applications. In order to properly assess AO, a rigorous comparison between AO and its peer NIOAs is conducted over mathematical benchmark functions. The experimental results show the AO provides competitive outcomes.

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A Comprehensive Survey on Aquila Optimizer

Sasmal

Hussien

Das

et al. 2023

Arch Computat Methods Eng

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Multicamera–IMU Calibration System for Underwater Welding Scenes

Chi,

Wang,

Liao

et al. 2023

IEEE Sensors J.

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Industrial Binocular Vision System Calibration With Unknown Imaging Model

Gong,

Liu,

Cao

et al. 2024

IEEE Trans. Ind. Inf.

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An Underwater Structured Light Vision Calibration Method Considering Unknown Refractive Index Based on Aquila Optimizer

Cited by 7 publications

References 29 publications

A Comprehensive Survey on Aquila Optimizer

A Comprehensive Survey on Aquila Optimizer

Multicamera–IMU Calibration System for Underwater Welding Scenes

Industrial Binocular Vision System Calibration With Unknown Imaging Model

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