On the Position Determination of Docking Station for AUVs Using Optical Sensor and Neural Network

Authors

  • Thieu Quang Minh Nhat Department of Mechanical Engineering, Korea Maritime and Ocean University, Busan, Korea
  • Hyeung-Sik Choi Department of Mechanical Engineering, Korea Maritime and Ocean University, Busan, Korea
  • Mai The Vu School of Intelligent Mechatronics Engineering, Sejong University, Seoul, Korea
  • Joono Sur Chief of Marine Unmanned System Center, Korea Maritime and Ocean University, Busan, Korea
  • Jin-Il Kang School of Intelligent Mechatronics Engineering, Sejong University, Seoul, Korea
  • Hyun-Joong Son Department of Mechanical Engineering, Korea Maritime and Ocean University, Busan, Korea

DOI:

https://doi.org/10.46604/ijeti.2020.4158

Keywords:

optical sensor, neural network, pinhole camera, navigation

Abstract

Detecting the relative position of the docking station is a very important issue for the homing of AUVs (Autonomous Unmanned Vehicles). To detect the position of the light source, a pinhole camera model structure was proposed like the camera model. However, due to the sensor resolution and the distortion errors of the pinhole camera system, the application of the camera of docking the under turbid sea environments is almost impossible.

In this paper, a new method detecting the position of the docking station using a light source is presented. Also, a newly developed optical sensor which makes it much easier to sense the light source than the camera system for homing of the AUV under the water is performed. In addition, to improve the system, a neural network (NN) algorithm constructing a model relating the light inputs and optical sensor which are developed in this study is proposed.

To evaluate the performance of the NN algorithm, the experiments were performed in the air beforehand. The result shows that the NN algorithm with AUV docking system using the NN model is better than the pinhole camera model.

References

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Published

2020-01-01

How to Cite

[1]
Thieu Quang Minh Nhat, Hyeung-Sik Choi, Mai The Vu, Joono Sur, Jin-Il Kang, and Hyun-Joong Son, “On the Position Determination of Docking Station for AUVs Using Optical Sensor and Neural Network”, Int. j. eng. technol. innov., vol. 10, no. 1, pp. 15–24, Jan. 2020.

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