Research on Deep Learning-Based Concrete Bridge Crack Detection

Ke Hou; Wendang Cheng; Wenjiang Liu; Feng Liu

doi:10.1007/978-981-99-9239-3_45

ScienceGate Book Chapters

BOOK-CHAPTER

Research on Deep Learning-Based Concrete Bridge Crack Detection

Ke Hou Wendang Cheng Wenjiang Liu Feng Liu

Year: 2024 Lecture notes in electrical engineering Pages: 459-467 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-99-9239-3_45

Get Full-Text PDF Get Analytical Report

Keywords:

Bridge (graph theory) Computer science Deep learning Feature (linguistics) Artificial intelligence Focus (optics) Object detection Range (aeronautics) Mechanism (biology) Pattern recognition (psychology) Engineering

Metrics

Cited By

8.43

FWCI (Field Weighted Citation Impact)

Refs

0.94

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Infrastructure Maintenance and Monitoring

Physical Sciences → Engineering → Civil and Structural Engineering

Concrete Corrosion and Durability

Physical Sciences → Engineering → Civil and Structural Engineering

Asphalt Pavement Performance Evaluation

Physical Sciences → Engineering → Civil and Structural Engineering

Research on Deep Learning-Based Concrete Bridge Crack Detection

Metrics

Citation History

Topics

Related Documents

Deep Learning Approaches for Crack Detection in Bridge Concrete Structures

Deep Learning-Based Crack Detection in Concrete Bridge Decks and Pavements: A Experimental Review

Research on Bridge Concrete Crack Damage Prediction Method Based on Deep Learning Temporal Model

Deep Learning-Based Concrete Crack Detection Using YOLO Architecture

Deep learning-based concrete crack detection using hybrid images