Real-Time Position and Attitude Estimation for Homing and Docking of an Autonomous Underwater Vehicle Based on Bionic Polarized Optical Guidance

• 作者: CHENG Haoyuan CHU Jinkui GUI Xinyuan TIAN Lianbiao ZHANG Ran
• 来源期刊: 中国海洋大学学报（自然科学英文版）
• 年，卷（期）: 2020,（5）
• 页码范围: 1042-1050
• 页数: 9页
• 语种: 英文

摘要

As an important tool for marine exploration, the autonomous underwater vehicle (AUV) must home in and dock at a docking station (DS) to be recharged, repaired, or to exchange information at set intervals. However, the complex and hostile under-water environment makes this process challenging. This study proposes a real-time method based on polarized optical guidance for determining the position and attitude of the AUV relative to its DS. Four polarized artificial underwater landmarks are positioned at the DS, which are recognized by the AUV vision system. Compared with light intensity, the polarization of a light beam is known to be better maintained at greater propagation distances, especially in underwater environments. The proposed method, which is in-spired by the ability of marine animals to communicate, calculates the pose parameters in less than 10ms without any other naviga-tional information. The simulation results reveal that the angle errors are small and the position errors are no more than 0.116 m within 100m in the coastal ocean. The results of underwater experiments further demonstrate the feasibility of the proposed method, which extends the operating distance of the AUV beyond what is currently possible while maintaining the precision of traditional optical guidance.