Evolution and Emerging Frontiers in Point Cloud Technology

Point cloud intelligence integrates advanced technologies such as Light Detection and Ranging (LiDAR), photogrammetry, and Artificial Intelligence (AI) to transform transportation infrastructure management. This review highlights state-of-the-art advancements in denoising, registration, segmentation, and surface reconstruction. A detailed case study on three-dimensional (3D) mesh generation for railway fastener monitoring showcases how these techniques address challenges like noise and computational complexity while enabling precise and efficient infrastructure maintenance. By demonstrating practical applications and identifying future research directions, this work underscores the transformative potential of point cloud intelligence in supporting predictive maintenance, digital twins, and sustainable transportation systems.

Authors

Institutions

Publication Details

Journal
Electronics
Published
2026-01-13
DOI
https://doi.org/10.3390/electronics15020341
Primary Topic
Infrastructure Maintenance and Monitoring
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evolution and Emerging Frontiers in Point Cloud Technology

Tariq Ur Rahman, Junxiong Wang, Haleema Ehsan, Wenjuan Wang et al.
Electronics
Infrastructure Maintenance and Monitoring
article

Evolution and Emerging Frontiers in Point Cloud Technology

Tariq Ur Rahman, Junxiong Wang, Haleema Ehsan, Wenjuan Wang, Qasim Zaheer, Shi Qiu
article en

Abstract

Point cloud intelligence integrates advanced technologies such as Light Detection and Ranging (LiDAR), photogrammetry, and Artificial Intelligence (AI) to transform transportation infrastructure management. This review highlights state-of-the-art advancements in denoising, registration, segmentation, and surface reconstruction. A detailed case study on three-dimensional (3D) mesh generation for railway fastener monitoring showcases how these techniques address challenges like noise and computational complexity while enabling precise and efficient infrastructure maintenance. By demonstrating practical applications and identifying future research directions, this work underscores the transformative potential of point cloud intelligence in supporting predictive maintenance, digital twins, and sustainable transportation systems.

ElectronicsVol. 15(2)
Central South University (CN), Guangxi Transportation Research Institute (CN), Capital University of Economics and Business (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 89%
Infrastructure Maintenance and Monitoring
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Evolution and Emerging Frontiers in Point Cloud Technology — Tariq Ur Rahman, Junxiong Wang, et al. · Electronics (2026) | TGRS Research Map | TGRS