Journal ArticleDOI
A New Point Cloud Simplification Method with Feature and Integrity Preservation by Partition Strategy
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In this paper , the authors proposed a method for point cloud simplification based on the concept of partitioning, which divides the point cloud's points into edge points, feature points, and non-feature points.About:
This article is published in Measurement.The article was published on 2022-04-01. It has received 5 citations till now. The article focuses on the topics: Point cloud & Feature (linguistics).read more
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Journal ArticleDOI
From real to virtual sensors, an artificial intelligence approach for the industrial phase of end-of-line quality control of GDI pumps
TL;DR: In this paper , the authors evaluated the performance of artificial intelligence for the quality control of gasoline direct injection (GDI) pumps on a dedicated test bench, using NARX and Long Short-Term Memory (LSTM) architectures.
Journal ArticleDOI
Adaptive coarse-to-fine clustering and terrain feature-aware-based method for reducing LiDAR terrain point clouds
TL;DR: In this article , an adaptive coarse-to-fine clustering and terrain feature-aware-based method is proposed to reduce data points in the context of terrain modeling, which obtains a good balance between terrain-feature preservation and uniform distribution of data points.
Proceedings ArticleDOI
Detection of Side Wall Protrusions in Highway Tunnel Based on LiDAR
TL;DR: Li et al. as discussed by the authors proposed an automatic detection method for sidewall protrusions based on LiDAR in the scene of long curved tunnel walls, where the ground point clouds were removed by using cloth simulation filter (CSF) algorithm and the obstacles point clouds are clustered by combining the region growing (RG) and the improved density-based spatial clustering of applications with noise (DBSCAN) algorithm.
Detection of Side Wall Protrusions in Highway Tunnel Based on LiDAR
TL;DR: Li et al. as discussed by the authors proposed an automatic detection method for sidewall protrusions based on LiDAR in the scene of long curved tunnel walls, where the ground point clouds were removed by using cloth simulation filter (CSF) algorithm and the obstacles point clouds are clustered by combining the region growing (RG) and the improved density-based spatial clustering of applications with noise (DBSCAN) algorithm.
Journal ArticleDOI
Research on Measurement of Tooth Profile Parameters of Synchronous Belt Based on Point Cloud Data
TL;DR: The experimental results show that the measurement method based on point cloud data has high measurement accuracy and reliable stability and can replace the original detection method to realize automatic detection.
References
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Journal ArticleDOI
Multidimensional binary search trees used for associative searching
TL;DR: The multidimensional binary search tree (or k-d tree) as a data structure for storage of information to be retrieved by associative searches is developed and it is shown to be quite efficient in its storage requirements.
Journal ArticleDOI
An Algorithm for Finding Best Matches in Logarithmic Expected Time
TL;DR: An algorithm and data structure are presented for searching a file containing N records, each described by k real valued keys, for the m closest matches or nearest neighbors to a given query record.
Journal ArticleDOI
Metro: measuring error on simplified surfaces
TL;DR: Metro allows one to compare the difference between a pair of surfaces by adopting a surface sampling approach, and returns both numerical results and visual results, by coloring the input surface according to the approximation error.