L
Leping He
Researcher at Southwest Petroleum University
Publications - 27
Citations - 154
Leping He is an academic researcher from Southwest Petroleum University. The author has contributed to research in topics: Deformation (meteorology) & Computer science. The author has an hindex of 5, co-authored 18 publications receiving 78 citations.
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Journal ArticleDOI
A High-Speed Target-Free Vision-Based Sensor for Bus Rapid Transit Viaduct Vibration Measurements Using CMT and ORB Algorithms
Qijun Hu,He Songsheng,Shilong Wang,Yugang Liu,Zutao Zhang,Leping He,Wang Fubin,Qijie Cai,Rendan Shi,Yang Yuan +9 more
TL;DR: An improved keypoints matching algorithm based on consensus-based matching and tracking (CMT) object tracking algorithm is adopted and further developed together with oriented brief (ORB) keypoints detection algorithm for practicable and effective tracking of objects.
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A Novel Method for Risk Assessment of Cable Fires in Utility Tunnel
TL;DR: A weighted fuzzy Petri net and an event tree are combined to propose a quantitative evaluation method to mitigate cable fire risks in a utility tunnel to validate the utility of the proposed method.
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Progressive failure mechanism of a large bedding slope with a strain-softening interface
TL;DR: In this article, a strain-softening interface for a large bedding slope with a mudded weak interlayer was investigated through groups of repeated shear tests and a contact constitutive model with strain softening was built and verified against experimental results.
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Study on crack propagation and shear behavior of weak muddy intercalations submitted to wetting-drying cycles
TL;DR: In this article, the crack evolution law and shear behavior of weak muddy intercalations (WMIs) during wetting-drying cycles were addressed. And the results showed that the cracks on the surface of the WMI sample elongated and increased the average widths of the cracks.
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Non-Contact Measurement of the Surface Displacement of a Slope Based on a Smart Binocular Vision System.
TL;DR: The Upsampled Cross Correlation (UCC) sub- pixel template matching technique is employed to improve the spatial-temporal contextual (STC) target-tracking algorithm and the tracking accuracy is improved to the sub-pixel level while keeping the STC tracking algorithm at high speed.