Triangle codes and tracer lights based absolute positioning method for terminal visual docking of autonomous underwater vehicles

Zhuoyu Zhang, Lijia Zhong, Mingwei Lin, Ri Lin, Dejun Li
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Abstract

Purpose

Docking technology plays a crucial role in enabling long-duration operations of autonomous underwater vehicles (AUVs). Visual positioning solutions alone are susceptible to abnormal drift values due to the challenging underwater optical imaging environment. When an AUV approaches the docking station, the absolute positioning method fails if the AUV captures an insufficient number of tracers. This study aims to to provide a more stable absolute position visual positioning method for underwater terminal visual docking.

Design/methodology/approach

This paper presents a six-degree-of-freedom positioning method for AUV terminal visual docking, which uses lights and triangle codes. The authors use an extended Kalman filter to fuse the visual calculation results with inertial measurement unit data. Moreover, this paper proposes a triangle code recognition and positioning algorithm.

Findings

The authors conducted a simulation experiment to compare the underwater positioning performance of triangle codes, AprilTag and Aruco. The results demonstrate that the implemented triangular code reduces the running time by over 70% compared to the other two codes, and also exhibits a longer recognition distance in turbid environments. Subsequent experiments were carried out in Qingjiang Lake, Hubei Province, China, which further confirmed the effectiveness of the proposed positioning algorithm.

Originality/value

This fusion approach effectively mitigates abnormal drift errors stemming from visual positioning and cumulative errors resulting from inertial navigation. The authors also propose a triangle code recognition and positioning algorithm as a supplementary approach to overcome the limitations of tracer light positioning beacons.

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基于三角码和示踪灯的绝对定位方法,用于自主潜水器的终端视觉对接
目的对接技术在实现自主潜水器(AUV)的长时间运行方面发挥着至关重要的作用。由于水下光学成像环境极具挑战性,仅靠视觉定位解决方案很容易出现异常漂移值。当自动潜航器接近对接站时,如果自动潜航器捕获的跟踪器数量不足,绝对定位方法就会失效。本研究旨在为水下终端视觉对接提供一种更稳定的绝对位置视觉定位方法。本文提出了一种用于 AUV 终端视觉对接的六自由度定位方法,该方法使用灯光和三角码。作者使用扩展卡尔曼滤波器将视觉计算结果与惯性测量单元数据进行融合。此外,本文还提出了一种三角码识别和定位算法。研究结果作者进行了模拟实验,比较了三角码、AprilTag 和 Aruco 的水下定位性能。结果表明,与其他两种代码相比,所实现的三角形代码的运行时间缩短了 70% 以上,而且在浑浊环境中的识别距离更长。随后在中国湖北省清江湖进行了实验,进一步证实了所提定位算法的有效性。 独创性/价值这种融合方法有效地减少了视觉定位产生的异常漂移误差和惯性导航产生的累积误差。作者还提出了一种三角形代码识别和定位算法,作为克服示踪光定位信标局限性的辅助方法。
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