# Weld seam object detection system based on the fusion of 2D images and 3D point clouds using interpretable neural networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/weld-seam-object-detection-system-based-on-the-fusion-of-2d-images-and-3d-point/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Shengbo Wang,Zengxu Li,Guodong Chen,Yaobin Yue |
| Citations | 16 |
| DOI | 10.1038/s41598-024-71989-w |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1038/s41598-024-71989-w |
| OpenAlex ID | https://openalex.org/W4402407002 |
| PMID | 39256451 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Shengbo Wang](https://scholariq.org/researchers/shengbo-wang/)

## Paper journal

- [Scientific Reports](https://scholariq.org/journals/scientific-reports/)

## Paper primary topic

- [Welding Techniques and Residual Stresses](https://scholariq.org/topics/welding-techniques-and-residual-stresses/)

## Paper topics

- [Welding Techniques and Residual Stresses](https://scholariq.org/topics/welding-techniques-and-residual-stresses/)
- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.