Lu Ren

ORCID: 0000-0003-1999-2508
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Probabilistic and Robust Engineering Design
  • Structural Health Monitoring Techniques
  • Construction Project Management and Performance
  • Advanced Measurement and Metrology Techniques
  • Optical measurement and interference techniques
  • Industrial Vision Systems and Defect Detection
  • Reliability and Maintenance Optimization
  • Remote Sensing and LiDAR Applications
  • Concrete Corrosion and Durability

Northwest University
2023-2024

Kanagawa University
2023

Hebei Petroleum University of Technology
2022

Hebei University of Technology
2022

For the three-dimensional (3D) point cloud acquisition system, accurately estimating measurement model parameters is essential, so a calibration algorithm based on kernel mean <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p</i> -power error (KMPE) cost function for 3D system proposed. Firstly, space sphere with unknown radius chosen as target. Secondly, since KMPE insensitive to noise and outliers, we establish function-based nonlinear...

10.1109/tim.2024.3364265 article EN IEEE Transactions on Instrumentation and Measurement 2024-01-01

The reliability assessment of the project duration is essential for successful management; this has prompted development various methods to assess whether a will be completed within target duration. In study, an efficient and effective method assessing based on moments proposed, which utilizes bivariate-dimension reduction technology third-moment index. proposed can avoid extensive calculations factors in commonly used methods: correlation coefficients between each pair paths joint failure...

10.1080/16843703.2022.2138113 article EN Quality Technology & Quantitative Management 2022-12-05

For the similarity registration problem of 3D point clouds data with a large amount noise and outliers, this paper proposes algorithm based on improved iterative closest (ICP). Firstly, optimization model is established by introducing pseudo-Huber loss function, to obtain accuracy clouds. Secondly, initial scale factor solved according consistency criterion. Thus, transformed into corresponding rigid problem. Finally, transformation for each interval. By using alternating iterations, optimal...

10.1109/cac59555.2023.10450536 article EN 2021 China Automation Congress (CAC) 2023-11-17
Coming Soon ...