Analysis and Compensation of Installation Perpendicularity Error in Unmanned Surface Vehicle Electro-Optical Devices by Using Sea–Sky Line Images

Author:

Zheng Jia12,Chen Jincai1,Wu Xinjian12,Liang Han1,Zheng Zhi3,Zhu Chuanbo1,Liu Yifan1,Sun Chao1,Wang Chuanqin12,He Dahua2

Affiliation:

1. Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Luoyu Road 1037, Wuhan 430074, China

2. Huazhong Institute of Electro-Optics, Wuhan National Lab for Optoelectronics, Wuhan 430223, China

3. Wuhan Newfiber Optoelectronics Co., Ltd., Wuhan 430073, China

Abstract

As an important sensor of an unmanned surface vehicle (USV), an electro-optical device is usually used to detect ships and obstacles in USV autonomous navigation and collision avoidance. However, the installation perpendicularity error of the electro-optical device greatly impacts the line-of-sight (LOS) stability control. This error is difficult to eliminate through mechanical calibration because the platform inertial navigation axis cannot be led out. This study aims to establish the model for the perpendicularity error of electro-optical devices during circumferential scanning and analyze its impact on the stability of LOS. In addition, we present a measurement technique for perpendicularity errors utilizing sea–sky line images. Through this method, we find an error function of LOS elevation angle, which is a convex function that can quickly search out high-precision perpendicularity errors step by step. Finally, we measured and compensated the perpendicularity error according to experimental data collected by the electro-optical device. The findings of this research demonstrate that the suggested approach can efficiently mitigate low-frequency disruptions and minor amplitude high-frequency vibrations of LOS in the elevation direction. As a result, it considerably enhances the precision of stability and image observation effect of electro-optical devices.

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Ocean Engineering,Water Science and Technology,Civil and Structural Engineering

Reference26 articles.

1. Trends and challenges in unmanned surface vehicles (Usv): From survey to shipping;Barrera;TransNav,2021

2. Villa, J.L., Paez, J., Quintero, C., Yime, E., and Cabrera, J. (2016, January 29–30). Design and control of an unmanned Surface vehicle for environmental monitoring applications. Proceedings of the 2016 IEEE Colombian Conference on Robotics and Automation (CCRA), Bogota, Colombia.

3. Autonomous shipping and its impact on regulations, technologies, and industries;Kim;J. Int. Marit. Saf. Environ. Affairs Ship.,2020

4. Developing a navigation, guidance and obstacle avoidance algorithm for an Unmanned Surface Vehicle (USV) by algorithms fusion;Mousazadeh;Ocean Eng.,2018

5. Barrera, C., Morales, T., Moran, R., Caudet, E., Marrero, R., Cianca, A., Alcaraz, D., Campuzano, F., Fernandes, C., and de Sousa, J.T.B. (2020, January 16–21). Expanding operational ocean-observing capabilities with gliders across the Macaronesia region. Proceedings of the Ocean Sciences Meeting 2020, San Diego, CA, USA.

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