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Development of a Person Search Components Based on an Omnidirectional Camera and a 3D-LiDAR

机译:基于全向摄像机和3D-LiDAR的人员搜索组件的开发

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In this paper, we propose a method to search the specified person using a spherical camera and a 3D range sensor. This is one of the items of the Tsukuba Challenge. By using the camera and the sensor, the view field becomes wider than the conventional system. We employed color information to reduce the computational load in image processing. In addition, we focused on the view size of the target person to improve the accuracy of LiDAR. The proposed component is implemented as a ROS-based application, which allows for rapid verification as well as rapid prototyping. The validity of the proposed algorithm was confirmed by preliminary experiments simulating the Tsukuba challenge environment.
机译:在本文中,我们提出了一种使用球形摄像机和3D距离传感器搜索指定人的方法。这是筑波挑战的项目之一。通过使用照相机和传感器,视野变得比常规系统更宽。我们采用颜色信息来减少图像处理中的计算量。此外,我们专注于目标人的视野大小,以提高激光雷达的准确性。拟议的组件被实现为基于ROS的应用程序,它允许快速验证以及快速原型制作。仿真筑波挑战环境的初步实验证实了该算法的有效性。

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