Pengpeng He

ORCID: 0000-0002-3634-0299
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About
Contact & Profiles
Research Areas
  • Optical measurement and interference techniques
  • Robotics and Sensor-Based Localization
  • 3D Surveying and Cultural Heritage
  • Advanced Vision and Imaging
  • Advanced Measurement and Detection Methods
  • Industrial Vision Systems and Defect Detection
  • Cavitation Phenomena in Pumps
  • Aerospace Engineering and Control Systems
  • Fluid Dynamics Simulations and Interactions
  • Soil and Unsaturated Flow
  • Image and Object Detection Techniques
  • Engineering Applied Research
  • Rocket and propulsion systems research
  • Hydraulic and Pneumatic Systems
  • Probabilistic and Robust Engineering Design
  • Groundwater flow and contamination studies
  • Advanced Image and Video Retrieval Techniques
  • Infrared Target Detection Methodologies

Yanshan University
2025

Wuhan University of Technology
2018-2024

China University of Geosciences (Beijing)
2010

The Large Eddy Simulation (LES) method coupled with a Schnerr and Sauer cavitation model was adopted to simulate the unsteady cavitating flow around Delft Twist 11 (Twist11) hydrofoil. We proposed novel aggressiveness indicator predict risk of erosion on hydrofoil surface by utilizing LES simulations as input. introduces time-averaged pressure, hypotheses Nohmi et al. concept power exponent into energy balance approach. results show that current numerical integrally reproduces evolution...

10.1016/j.ijnaoe.2023.100536 article EN cc-by-nc-nd International Journal of Naval Architecture and Ocean Engineering 2023-01-01

The construction of 3D cost volumes is essential for deep learning-based Multi-view Stereo (MVS) methods. Although cascade alleviate the GPU memory overhead and improve depth inference performance in a coarse-to-fine manner, are still not optimal. In this work, we first propose novel identity with identical volume size at each stage, which dramatically decreases footprint while clearly improving prediction accuracy speed. then formulated as dense-to-sparse search problem that solved by...

10.2139/ssrn.4726548 preprint EN 2024-01-01

To remove background noise of 3D point cloud, a novel vision measurement method for ship hull plates is proposed by combining an identity cost volume network (ICV-Net) and segment anything model (SAM). By applying the plate masks segmented SAM to corresponding depth maps inferred ICV-Net, can be directly removed at map level without intricate cloud post-processing. Additionally, edge extraction optimization algorithm complementary eliminate thickness-related noise. Moreover, efficient...

10.2139/ssrn.4718408 preprint EN 2024-01-01

Accurate shape measurement for hull plates is vital to ensure the quality of production. However, complex shape, weak texture, and large scale present challenges inspection. In this study,the binocular vision with a projector method developed. This novel involves image segmentation extraction feature points. Additionally, an original encoding proposed, which applied match homologous The 3D coordinates are obtained by triangulation. results show that dimensional accuracy ±0.636mm average...

10.2139/ssrn.4469737 preprint EN 2023-01-01
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