基于正态分布相似性的双视角点云配准方法
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李朝龙,庞善民,王超玉,王翌丰,史鹏程
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Pair-wise point cloud registration method based on normal distribution similarity
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Zhaolong LI,Shanmin PANG,Chaoyu WANG,Yifeng WANG,Pengcheng SHI
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表 6 在真实场景数据集上的配准结果 |
Tab.6 Registration results of different real scene datasets |
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配准方法 | GazeboS | | GazeboW | RMSE | t /s | SR | | RMSE | t /s | SR | Initial | 0.2689 | — | — | | 0.3685 | — | — | TrICP | 0.0279 | 13.88 | 0.84 | | 0.0204 | 2.83 | 1.00 | NDT | 0.1489 | 2.85 | 0.26 | | 0.0784 | 1.97 | 0.63 | SpICP | 0.0302 | 1242.40 | 0.77 | | 0.019 6 | 402.32 | 1.00 | SmICP | 0.0709 | 34.42 | 0.74 | | 0.0255 | 17.37 | 0.97 | AAICP | 0.0299 | 5.77 | 0.71 | | 0.0228 | 2.29 | 1.00 | RTC | 0.0261 | 5.66 | 0.74 | | 0.0229 | 1.94 | 1.00 | MICP | 0.0277 | 2.24 | 0.71 | | 0.0575 | 1.54 | 0.93 | RSICP | 0.0211 | 26.04 | 0.93 | | 0.0197 | 7.88 | 0.97 | 本研究方法 | 0.0208 | 9.48 | 0.90 | | 0.0192 | 4.25 | 1.00 |
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