Skip to main navigation Skip to search Skip to main content

Application of LiDAR-SLAM Technology in Heavy Industry Inspection

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

With the rapid development of smart manufacturing and automation technology, many factories have adopted autonomous inspection systems to enhance operational efficiency and safety. In particular, steel mills operate in extreme environments characterized by structural height variations, high temperatures, and heavy steel dust, making traditional manual inspections hazardous, labor-intensive, and inefficient. These challenges highlight the need for high-precision and automated inspection technologies. LiDAR-SLAM (Simultaneous Localization and Mapping) has emerged as a key solution for industrial mapping and autonomous inspection. By constructing high-precision environmental models, LiDAR-SLAM enables inspection systems to perform positioning in complex, dynamic industrial environments with enhanced accuracy and stability. The robust localization framework provides a reliable foundation for autonomous inspection and precise positioning in steel product lines. This paper explores the application of LiDAR-SLAM technology for heavy industry inspections and its broader applications in industrial environments. The study demonstrates its potential to enhance inspection accuracy, improve workplace safety, and streamline operational management, contributing to the wider adoption of autonomous inspection systems in smart manufacturing.

Original languageEnglish
Title of host publicationICCE-Taiwan 2025 - 12th IEEE International Conference on Consumer Electronics - Taiwan
Subtitle of host publicationGenerative AI in Innovative Consumer Technology, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages395-396
Number of pages2
ISBN (Electronic)9798331587413
DOIs
Publication statusPublished - 2025
Event12th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2025 - Kaohsiung, Taiwan
Duration: 2025 Jul 162025 Jul 18

Publication series

NameICCE-Taiwan 2025 - 12th IEEE International Conference on Consumer Electronics - Taiwan: Generative AI in Innovative Consumer Technology, Proceedings

Conference

Conference12th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2025
Country/TerritoryTaiwan
CityKaohsiung
Period25-07-1625-07-18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Electrical and Electronic Engineering
  • Media Technology
  • Modelling and Simulation
  • Instrumentation

Cite this