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Enhancemend of moving object extraction using 6D information

机译:使用6D信息增强运动对象提取

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The driving support is one of the most important research areas in intelligent transport system (ITS). Moreover, obstacle extraction system is one of most important system, and we have proposed such system based on stereovision system. In our previous report, we proposed moving objects extraction method based on Occupancy Grid Maps. However, there is a problem that it is difficult to cluster each object if stationary and moving objects are closely located. Therefore, in this paper, we propose a method to solve such problem based on 6D information, which estimate both three-dimensional position and velocity.
机译:驾驶支持是智能运输系统(ITS)中最重要的研究领域之一。此外,障碍物提取系统是最重要的系统之一,我们基于立体视觉系统提出了这样的系统。在我们以前的报告中,我们提出了一种基于占用网格图的运动对象提取方法。但是,存在一个问题,即如果静止的物体和运动的物体紧靠在一起,则很难对每个物体进行聚类。因此,在本文中,我们提出了一种基于6D信息来解决此类问题的方法,该方法可同时估计三维位置和速度。

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