群像素激光雷达多级分辨率三维点云成像技术的研究

Research on multi-resolution 3D point cloud imaging of cluster lidar technology

激光三维成像雷达系统单帧获取的数据量越来越大,数据处理效率已成为亟待解决的重点问题之一。研究了群像素激光三维成像雷达的编解码数据特性,对激光三维点云回波数据进行多级分层分割处理,提高群像素激光三维点云成像雷达数据处理效率。实验结果表明,多级分层分割的成像方法可将群像素成像速度提高6倍,该方法有效地解决了群像素激光三维成像雷达数据获取速度快而难以实时成像的问题。以实际分辨率需求进行多级分辨率编解码的三维点云成像,为群像素激光三维成像雷达系统实时点云成像提供了新的研究方向。

The amount of data acquired in a single frame of the three-dimensional imaging lidar system is increasing, and the data processing efficiency has become one of the key issues to be resolved urgently. This paper studies the encoding and decoding data characteristics of the cluster pixel laser 3 D imaging radar, and performs multi-level and hierarchical segmentation processing on the laser 3 D point cloud echo data to improve the data processing efficiency of the cluster pixel laser 3 D point cloud imaging radar. Experimental results show that the imaging method of multi-level hierarchical segmentation can increase the imaging speed of group pixels by 6 times. This method effectively solves the problem of fast data acquisition speed of the cluster pixel 3 D imaging lidar and difficulty in real-time imaging. Multi-level resolution coding and decoding of 3 D point cloud imaging based on actual resolution requirements provides a new research direction for real-time point cloud imaging of cluster pixel 3 D imaging lidar system.