Splicing method and splicing device of Lidar measurement data
A technology for measuring data and cloud data, which is applied in the direction of measuring devices, optical devices, instruments, etc., can solve the problems of heavy matching workload, difficult to deal with continuous noise data, and insufficient accuracy of one-time splicing, and achieve the effect of fast splicing
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[0023] Example one
[0024] The processing flow of a method for splicing Lidar measurement data provided in this embodiment is as follows: figure 1 As shown, including the following processing steps:
[0025] Step 11. Organize the paired two point cloud data into a kd (k-dimension, k-dimensional tree) tree, and segment the kd tree to generate multiple segmentation units.
[0026] Use LiDAR to perform multiple data collection on the same object at different locations to obtain multiple point cloud data. The above kd tree performs uniform segmentation in eight directions in space, and generates multiple segmentation units. Each segmentation unit is a set containing several spatial points p. The data in the segmentation unit is evaluated as a whole, which is more efficient than point processing. The Kd tree is an effective tree-like data organization structure. The dimension of each data in the tree is k. The Kd tree divides the data on the one-dimensional with the largest variance i...
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[0083] Example two
[0084] This embodiment provides a Lidar measurement data splicing device, and its specific structure is as follows figure 2 As shown, including the following modules:
[0085] The segmentation unit acquisition module 21 is configured to use the laser detection and ranging system LiDAR to perform multiple data acquisition on the same object at different positions to acquire multiple point cloud data, and perform pairwise pairing processing on the multiple point cloud data, and The paired first point cloud data and second point cloud data are respectively organized in a tree-like data organization structure, and the tree-like data organization structure is uniformly divided in eight directions in space to generate multiple segmentation units; The data organization structure can be a Kd tree.
[0086] The matching feature unit acquisition module 22 is configured to select a set number of segmentation units from all segmentation units of the first point cloud data ...
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