TY - GEN
T1 - Application of LiDAR-SLAM Technology in Heavy Industry Inspection
AU - Hung, Tzu Chieh
AU - Wu, Tzu Jung
AU - Peng, Chao Chung
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/105022495579
UR - https://www.scopus.com/pages/publications/105022495579#tab=citedBy
U2 - 10.1109/ICCE-Taiwan66881.2025.11207954
DO - 10.1109/ICCE-Taiwan66881.2025.11207954
M3 - Conference contribution
AN - SCOPUS:105022495579
T3 - ICCE-Taiwan 2025 - 12th IEEE International Conference on Consumer Electronics - Taiwan: Generative AI in Innovative Consumer Technology, Proceedings
SP - 395
EP - 396
BT - ICCE-Taiwan 2025 - 12th IEEE International Conference on Consumer Electronics - Taiwan
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2025
Y2 - 16 July 2025 through 18 July 2025
ER -