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Augmented scene modeling and visualization by optical and acoustic sensor integration

机译:通过光学和声学传感器集成增强场景建模和可视化

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In this paper, underwater scene modeling from multisensor data is addressed. Acoustic and optical devices aboard an underwater vehicle are used to sense the environment in order to produce an output that is readily understandable even by an inexperienced operator. The main idea is to integrate multiple-sensor data by geometrically registering such data to a model. The geometrical structure of this model is a priori known but not ad hoc designed for this purpose. As a result, the vehicle pose is derived and model objects can be superimposed upon actual images, thus generating an augmented-reality representation. Results on a real underwater scene are reported, showing the effectiveness of the proposed approach.
机译:在本文中,解决了基于多传感器数据的水下场景建模。水下车辆上的声学和光学装置用于感测环境,以便产生即使是没有经验的操作员也容易理解的输出。主要思想是通过将几何形状的数据注册到模型中来集成多传感器数据。该模型的几何结构是先验已知的,但不是为此目的而临时设计的。结果,得出车辆姿态,并且模型对象可以叠加在实际图像上,从而生成增强现实表示。报告了真实水下场景的结果,表明了该方法的有效性。

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