3D reconstruction method based on a rotating 2D laser scanner and multi-sensor

Table 1. Categorizion of the point cloud according to V′
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Table 1. Categorizion of the point cloud according to V′
分类类别 V′的取值区间
1 [0，0.003)
2 [0.003，0.004)
3 [0.004，0.008)
4 [0.008，0.016)
5 [0.016，0.032)
6 [0.032，0.064)
7 [0.064，1]

Table 2. Experimental measurement results
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Table 2. Experimental measurement results
测量次数实际距离（mm）误差修正前（mm）误差修正后（mm）
1 374 389.6 377.2
2 377 396.5 383.4
3 452 471.8 457.1
4 397 414.4 399.9
5 445 465.5 449.2
6 421 439.5 424.6
7 385 404.2 389.3

Table 3. Comparison of experimental results

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Table 3. Comparison of experimental results

测量次数	实际距离（mm）	本文方法（mm）	深度相机的重建方法（mm）
1	374	377.2	379.5
2	377	383.4	383.1
3	452	457.1	447.3
4	397	399.9	402.6
5	445	449.2	440.5
6	421	424.6	417.4
7	385	389.3	391.2

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Xin-rong ZHANG, Xin WANG, Yao WANG, Gao-feng XIANG. 3D reconstruction method based on a rotating 2D laser scanner and multi-sensor[J]. Chinese Optics, 2023, 16(3): 663

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Paper Information

Category: Original Article

Received: Jul. 14, 2022

Accepted: Nov. 11, 2022

Published Online: May. 31, 2023

The Author Email:

DOI:10.37188/CO.2022-0159

Topics

Table 1. Categorizion of the point cloud according to V′

Table 1. Categorizion of the point cloud according to V′

Table 2. Experimental measurement results

Table 2. Experimental measurement results

Table 3. Comparison of experimental results

Table 3. Comparison of experimental results