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A method of state estimation for underwater vehicle navigation around a cylindrical structure

机译:一种用于水下航行器在圆柱结构周围导航的状态估计方法

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Recently, increasing efforts have been focused on the development and adoption of autonomous underwater vehicles (AUVs) for various applications. However, the GPS signals are usually unavailable, the vehicle dynamics is very uncertain, and the complicated vision based localization algorithms may not work well in the underwater environments. Hence, accurate and timely state estimation using low-cost sensors remains a challenge for the control and navigation of AUVs. This paper considers the state estimation problem for underwater vehicle navigation around a cylindrical structure. The vehicle is assumed to be equipped with only low-cost sensors: an inertia measurement unit (IMU), a pressure sensor and a monocular camera. By exploiting the prior knowledge on the size and shape of the structure, an efficient algorithm for estimating the state of the AUV is developed without using any dynamic model. Firstly, a state observer is proposed under the condition that the localization result (rotational and translational position) is available. Next, we present a method for localization based on the IMU readings, pressure sensor readings and the image of the cylindrical structure, which uses the geometry of the structure and only requires simple image processing (line extraction). Then we prove that the proposed observer is globally stable. Preliminary experimental results and simulation results are reasonable and promising, which implies the proposed method has potential to be used in the real AUV navigation applications.
机译:最近,越来越多的努力集中在各种应用中的自主水下车辆(AUV)的开发和采用。然而,GPS信号通常是不可用的,车辆动态非常不确定,并且基于视觉的基于视觉的定位算法可能在水下环境中不适。因此,使用低成本传感器的准确和及时的状态估计仍然是AUV控制和导航的挑战。本文考虑了圆柱形结构周围水下车辆导航的状态估计问题。假设车辆仅配备低成本传感器:惯性测量单元(IMU),压力传感器和单眼相机。通过利用结构的尺寸和形状的先验知识,在不使用任何动态模型的情况下开发用于估计AUV的状态的有效算法。首先,在可以使用定位结果(旋转和翻译位置)的条件下提出了国家观察者。接下来,我们提出了一种基于IMU读数的定位的方法,压力传感器读数和圆柱形结构的图像,其使用结构的几何形状并且仅需要简单的图像处理(线提取)。然后我们证明了拟议的观察者是全球稳定的。初步实验结果和仿真结果是合理和有希望的,这意味着所提出的方法有可能用于真实的AUV导航应用。

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