Network adaptive point cloud data compression method

The invention discloses a network adaptive point cloud data compression method, and the method comprises the steps: obtaining the range perception of a laser radar, obtaining the upper bound of the coordinate absolute value of point cloud data through the analysis of the parameters of the laser radar and a part of samples of a point cloud data package, and compressing the floating-point number coding of a point in a point cloud. According to the method, the coverage of a point coordinate representation range in the original point cloud is ensured, a numerical error is controlled in an acceptable range, and meanwhile, the number of digits required for representing floating-point numbers is greatly reduced, so that the transmission delay is reduced by dynamically adjusting the size of the point cloud when the network bandwidth is insufficient, and the simulation performance and stability are improved. 本发明公开一种网络自适应的点云数据压缩方法，方案包括：获取激光雷达的范围感知，通过分析激光雷达参数和点云数据包的部分样本，获取点云数据的坐标绝对值的上界，从而对点云中点的浮点数编码进行压缩。这种方法保证对原始点云中点坐标表