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Vehicle attitude output device, point cloud 3D system, vehicle attitude output method, point cloud 3D method, vehicle attitude output program and point cloud 3D program

机译:车辆姿态输出设备,点云3D系统,车辆姿态输出方法,点云3D方法,车辆姿态输出程序和点云3D程序

摘要

PROBLEM TO BE SOLVED: To improve the accuracy of three-dimensionalization of an object point cloud and to calculate the axial direction of three-dimensional spatial coordinates for mapping the object point cloud in making the object point cloud three-dimensional by a laser or radar. The purpose is to reduce the amount. The present disclosure calculates the absolute value of the difference between the high sampling frequency vehicle attitude data and the low sampling frequency vehicle attitude data. When the absolute value of the difference is small, the data of the vehicle attitude of the high sampling frequency is thinned out, the data of the vehicle attitude of the low sampling frequency is output, and the amount of calculation in the axial direction of the three-dimensional space coordinates for mapping the object point group. To reduce. On the other hand, when the absolute value of the difference is large, the vehicle posture data having a high sampling frequency is output to improve the accuracy of three-dimensionalization of the object point cloud. Finally, the object point cloud is made three-dimensional based on the vehicle posture data and the object point cloud data. [Selection diagram] Fig. 1
机译:要解决的问题:提高目标点云的三维化精度,并计算三维空间坐标的轴向,以映射目标点云,从而通过激光或雷达将目标点云变为三维。 。目的是减少用量。本公开计算高采样频率车辆姿态数据和低采样频率车辆姿态数据之间的差的绝对值。当差的绝对值较小时,稀疏高采样频率的车辆姿态的数据,输出低采样频率的车辆姿态的数据,并且沿轴向的计算量用于映射对象点组的三维空间坐标。减少。另一方面,当差的绝对值大时,输出具有高采样频率的车辆姿态数据以提高目标点云的三维化的精度。最后,基于车辆姿势数据和目标点云数据将目标点云制成三维。 [选择图]图1

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