Abstract
AbstractData quality is of crucial importance in the field of automated or digitally assisted assembly. This paper presents a comprehensive data set of triangle meshes representing electrical and electronic components obtained by scraping Computer Aided Design (CAD) models from the Internet. Consisting of a total of 234 triangle meshes with labelled vertices, this data set was specifically created for segmentation tasks. Its versatility for multimodal tasks is underscored by the presence of various labels, including vertex labels, categories, and subcategories. This paper presents the data set and provides a thorough statistical analysis, including measures of shape, size, distribution, and inter-rater reliability. In addition, the paper suggests several approaches for using the data set, considering its multimodal characteristics. The data set and related findings presented in this paper are intended to encourage further research and advancement in the field of manufacturing automation, specifically spatial assembly.
Funder
Friedrich-Alexander-Universität Erlangen-Nürnberg Deutsche Forschungsgemeinschaft RITTAL GmbH & Co KG
Publisher
Springer Science and Business Media LLC
Reference28 articles.
1. Bründl, P., Stoidner, M., Nguyen, H. G., Baechler, A. & Franke, J. Challenges and Opportunities of Software-Based Production Planning and Control for Engineer-to-Order Manufacturing. In Advances in Production Management, edited by IFIP International Federation for Information Processing (2023).
2. Stoidner, M., Bründl, P., Nguyen, H. G., Baechler, A. & Franke, J. Towards the Digital Factory Twin in Engineer-to-Order Industries: A Focus on Control Cabinet Manufacturing. In Advances in Production Management Systems. Production Management Systems for Responsible, edited by IFIP International Federation for Information Processing (Springer Nature, Switzerland, 2023).
3. Huang, J., Su, H. & Guibas, L. Robust Watertight Manifold Surface Generation Method for ShapeNet Models, (2018).
4. Huang, J., Zhou, Y. & Guibas, L. ManifoldPlus: A Robust and Scalable Watertight Manifold Surface Generation Method for Triangle Soups, (2020).
5. Hanocka, R. et al. MeshCNN: A Network with an Edge https://doi.org/10.48550/arXiv.1809.05910 (2018).
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献