Based on point cloud data of the ski jump system modeling and trimming

Qingchao Xu; Chunguang Bu; Jinghui Qiao; Xiaoliang Fan; Jin Sui

doi:10.1117/12.2685761

15 August 2023 Based on point cloud data of the ski jump system modeling and trimming

Qingchao Xu, Chunguang Bu, Jinghui Qiao, Xiaoliang Fan, Jin Sui

Proceedings Volume 12719, Second International Conference on Electronic Information Technology (EIT 2023); 127193F (2023) https://doi.org/10.1117/12.2685761
Event: Second International Conference on Electronic Information Technology (EIT 2023), 2023, Wuhan, China

Abstract

In order to explore a new way of quick dressing of the ski jump in the ski training ground and solve the problems of low modeling accuracy and poor dressing accuracy of the ski jump; This paper proposes an improved 3D point cloud segmentation method for diving platform surface modeling. This method improves the traditional RANSAC algorithm by selecting distance threshold adaptively. The new method is compared with the traditional method. The results show that the running time and the number of iterations of the new method are significantly reduced compared with the traditional method in the process of point cloud segmentation on different data sets, and the effect of point cloud segmentation and extraction of the collected jump point cloud data is better. This paper first proposed a automation platform surface modeling and trim architecture, solve the snow surface for subsequent provides a precise modeling and repair solution.

Citation Download Citation

Qingchao Xu, Chunguang Bu, Jinghui Qiao, Xiaoliang Fan, and Jin Sui "Based on point cloud data of the ski jump system modeling and trimming", Proc. SPIE 12719, Second International Conference on Electronic Information Technology (EIT 2023), 127193F (15 August 2023); https://doi.org/10.1117/12.2685761

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