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Real-time 3D scene modeling using dynamic billboard for remote robot control systems

机译:使用动态广告牌对远程机器人控制系统进行实时3D场景建模

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In this paper, a method for modeling three-dimensional scenes from a Lidar point cloud as well as a billboard calibration approach for remote mobile robot control applications are presented as a combined two-step approach. First, by projecting a local three-dimensional point cloud on two-dimensional coordinate system, we obtain a list of colored points. Based on this list, we apply a proposed ground segmentation algorithm to separate ground and non-ground areas. With the ground part, a dynamic triangular mesh is created by means of a height map and the vehicle position. The non-ground part is divided into small groups. Then, a local voxel map is applied for modeling each group. As a result, all the inner surfaces are eliminated. Second, for billboard calibration, we implement three stages in each frame. In the first stage, at the billboard location, an average ground point is estimated. In the second stage, the distortion angle is calculated. The billboard is updated for each frame in the final stage and corresponds to the terrain gradient.
机译:在本文中,提出了一种基于激光雷达点云的三维场景建模方法以及用于远程移动机器人控制应用的广告牌校准方法,该方法为组合式两步法。首先,通过在二维坐标系上投影局部三维点云,我们获得了一系列彩色点。基于此列表,我们将提出的地面分割算法应用于分离地面和非地面区域。在地面部分,通过高度图和车辆位置创建动态三角形网格。非接地部分分为几小组。然后,将局部体素贴图应用于对每个组进行建模。结果,消除了所有内表面。其次,对于广告牌校准,我们在每个框架中实现三个阶段。在第一阶段,在广告牌位置,估计平均地面点。在第二阶段,计算畸变角。广告牌在最后阶段针对每一帧进行更新,并与地形坡度相对应。

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