BIM–based time-varying system reliability analysis for buildings and infrastructures

Y Zheng, Y Zhang, J Lin - Journal of Building Engineering, 2023 - Elsevier
In recent decades, building information modelling (BIM) technology has been rapidly
developed and applied widely in the building industry. Although BIM technology is crucial for …

[HTML][HTML] Visibility of flat line and structured road markings for machine vision

TE Burghardt, O Chistov, T Reiter, R Popp… - Case Studies in …, 2023 - Elsevier
Road markings are equally needed for human drivers and for machine vision equipment;
their visibility demands high contrast ratio. Particularly difficult is achieving visibility under …

Simultaneous Vehicle Localization and Roadside Tree Inventory Using Integrated LiDAR-Inertial-GNSS System

X Fan, Z Chen, P Liu, W Pan - Remote Sensing, 2023 - mdpi.com
Autonomous driving systems rely on a comprehensive understanding of the surrounding
environment, and trees, as important roadside features, have a significant impact on vehicle …

Indoor mapping using low-cost MLS point clouds and architectural skeleton constraints

J Luo, Q Ye, S Zhang, Z Yang - Automation in Construction, 2023 - Elsevier
Abstract MLS (Mobile Laser Scanner) offers adequate mobility and the ability to obtain
accurate environmental data. However, it still faces some challenges, such as the heavy …

Point cloud generation for critical transportation infrastructure through Bézier curve

Q Hou, C Ai - Automation in Construction, 2024 - Elsevier
Abstract While Light Detection and Ranging (LiDAR)-based sensors exhibit considerable
potential for transportation infrastructure management, not all infrastructure elements can be …

Attitude Estimation Method for Target Ships Based on LiDAR Point Clouds via An Improved RANSAC

S Wei, Y Xiao, X Yang, H Wang - Journal of Marine Science and …, 2023 - mdpi.com
The accurate attitude estimation of target ships plays a vital role in ensuring the safety of
marine transportation, especially for tugs. A Light Detection and Ranging (LiDAR) system …

Research on point cloud hole filling and 3D reconstruction in reflective area

C Sun, LX Miao, MY Wang, J Shi, JJ Ding - Scientific Reports, 2023 - nature.com
Abstract 3D reconstruction is the process of obtaining the three-dimensional shape or
surface structure of an object, which is widely used in advanced manufacturing fields such …

Equal Emphasis on Data and Network: A Two-Stage 3D Point Cloud Object Detection Algorithm with Feature Alignment

K Xiao, T Li, J Li, D Huang, Y Peng - Remote Sensing, 2024 - mdpi.com
Three-dimensional object detection is a pivotal research topic in computer vision, aiming to
identify and locate objects in three-dimensional space. It has wide applications in various …

Feature-centric approach for learning-based prediction of pavement marking retroreflectivity from mobile LiDAR data

D Manasreh, MD Nazzal, AR Abbas - Buildings, 2023 - mdpi.com
Given the crucial importance of pavement marking retroreflectivity in ensuring visibility for
road safety, this research investigates the correlation between pavement marking reflectivity …

Automatic road inventory using a low-cost mobile mapping system and based on a semantic segmentation deep learning model

H Tardy, M Soilán, JA Martín-Jiménez… - Remote Sensing, 2023 - mdpi.com
Road maintenance is crucial for ensuring safety and government compliance, but manual
measurement methods can be time-consuming and hazardous. This work proposes an …