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Vision based station keeping and docking for floating vehicles

机译:基于视觉的浮动车辆保持和对接

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This paper describes a method for station keeping and docking of floating vehicles. We consider the case of a lighter-than-air blimp and that of an underwater robot. Due to the motion disturbances in the environment (currents), these tasks are important to keep the vehicle stabilized relative to an external reference frame. The main difficulties to achieve station keeping and docking are related to the non-holonomic constraints of the floating vehicles moving in 3D, having a limited number of controllable degrees of freedom. The relative position of the vehicle with respect to a docking station is tracked using vision. A planar surface is chosen as a reference plane which allows visual tracking of an environmental region, based on planar projective transformations. An image-based control law is proposed together with a dynamic model for the vehicles. Experiments both with a blimp and an underwater vehicle are described and discussed.
机译:本文介绍了一种浮动车辆的站位保持和对接方法。我们考虑比空气轻的飞艇和水下机器人的情况。由于环境中的运动干扰(电流),这些任务对于使车辆相对于外部参考系保持稳定非常重要。实现站位保持和对接的主要困难与3D移动的浮动车辆的非完整约束有关,其可控制的自由度数量有限。使用视觉跟踪车辆相对于扩展坞的相对位置。选择一个平面作为参考平面,可以基于平面投影变换对环境区域进行可视跟踪。提出了基于图像的控制律以及车辆的动力学模型。描述和讨论了飞艇和水下飞行器的实验。

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