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Outline
As a critical functional component of the vehicle body, the automobile engine hood's point cloud registration accuracy directly impacts the assembly gap, sealing performance, and collision safety. To address the limitations of traditional registration methods in handling engine hood point clouds—such as large surface registration errors, low precision, and poor efficiency—this paper employs an improved voxel filtering approach for preprocessing and proposes a hybrid registration method based on feature fusion and GICP. The method first performs coarse registration through curvature feature extraction and FPFH descriptors, followed by fine registration using the GICP algorithm. Experimental results demonstrate that our approach achieves an average registration error of 15.11 mm with an average processing time of 9.3 s on a dataset containing 30 engine hood point clouds, showing higher registration accuracy and better computational performance compared to baseline algorithms. This study provides a novel approach for high-precision registration of complex curved surfaces in automotive panels.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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