Point cloud registration method based on Particle Swarm Optimization algorithm and improved ICP Article Swipe
Guokai Zhu
,
Chunmei Li
,
Yuexi Zhong
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/2395/1/012078
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/2395/1/012078
In order to achieve accurate wheel gripping by truss manipulators, accurate point cloud alignment of train wheels is required. In this paper, the wheels are detected by binocular laser displacement sensors. And accurate point cloud alignment is achieved by using the point cloud denoising and streamlining algorithm, particle swarm-based algorithm, and improved ICP algorithm for 3D point cloud data. The experimental results show that reducing noise and data volume can improve the stitching effect and alignment efficiency of 3D point cloud models. The algorithm of this paper is experimentally verified to be 43% better in error accuracy and 93% faster in time-consuming than the traditional ICP algorithm, which verifies the effectiveness of its method.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1742-6596/2395/1/012078
- https://iopscience.iop.org/article/10.1088/1742-6596/2395/1/012078/pdf
- OA Status
- diamond
- Cited By
- 3
- References
- 2
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4311319131
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Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4311319131Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1088/1742-6596/2395/1/012078Digital Object Identifier
- Title
-
Point cloud registration method based on Particle Swarm Optimization algorithm and improved ICPWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-12-01Full publication date if available
- Authors
-
Guokai Zhu, Chunmei Li, Yuexi ZhongList of authors in order
- Landing page
-
https://doi.org/10.1088/1742-6596/2395/1/012078Publisher landing page
- PDF URL
-
https://iopscience.iop.org/article/10.1088/1742-6596/2395/1/012078/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
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https://iopscience.iop.org/article/10.1088/1742-6596/2395/1/012078/pdfDirect OA link when available
- Concepts
-
Point cloud, Image stitching, Algorithm, Computer science, Particle swarm optimization, Displacement (psychology), Point (geometry), Cloud computing, Noise (video), Computer vision, Mathematics, Image (mathematics), Operating system, Psychology, Geometry, PsychotherapistTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 2Per-year citation counts (last 5 years)
- References (count)
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2Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.sensors. | 31 |
| abstract_inverted_index.verified | 90 |
| abstract_inverted_index.verifies | 109 |
| abstract_inverted_index.algorithm | 54, 84 |
| abstract_inverted_index.alignment | 14, 36, 76 |
| abstract_inverted_index.binocular | 28 |
| abstract_inverted_index.denoising | 44 |
| abstract_inverted_index.required. | 19 |
| abstract_inverted_index.stitching | 73 |
| abstract_inverted_index.algorithm, | 47, 50, 107 |
| abstract_inverted_index.efficiency | 77 |
| abstract_inverted_index.swarm-based | 49 |
| abstract_inverted_index.traditional | 105 |
| abstract_inverted_index.displacement | 30 |
| abstract_inverted_index.experimental | 61 |
| abstract_inverted_index.streamlining | 46 |
| abstract_inverted_index.effectiveness | 111 |
| abstract_inverted_index.manipulators, | 10 |
| abstract_inverted_index.experimentally | 89 |
| abstract_inverted_index.time-consuming | 102 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.6299999952316284 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.53112831 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |