Real-time pavement surface crack detection based on lightweight semantic segmentation model

Huayang Yu; Yihao Deng; Feng Guo

doi:10.1016/j.trgeo.2024.101335

ScienceGate Book Chapters

JOURNAL ARTICLE

Real-time pavement surface crack detection based on lightweight semantic segmentation model

Huayang Yu Yihao Deng Feng Guo

Year: 2024 Journal: Transportation Geotechnics Vol: 48 Pages: 101335-101335 Publisher: Elsevier BV

DOI: 10.1016/j.trgeo.2024.101335

Get Full-Text PDF Get Analytical Report

Keywords:

Robustness (evolution) Segmentation Computer science Surface (topology) Context (archaeology) Representation (politics) Structural engineering Artificial intelligence Geology Engineering Mathematics

Metrics

Cited By

4.42

FWCI (Field Weighted Citation Impact)

Refs

0.90

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

Asphalt Pavement Performance Evaluation

Physical Sciences → Engineering → Civil and Structural Engineering

Concrete Corrosion and Durability

Physical Sciences → Engineering → Civil and Structural Engineering

Real-time pavement surface crack detection based on lightweight semantic segmentation model

Metrics

Citation History

Topics

Related Documents

A Real-Time Pavement Crack Detection Method Based on an Improved Lightweight Yolov8 Model

A Real-Time Pavement Crack Detection Method Based on an Improved Lightweight Yolov8 Model

Lightweight segmentation algorithm for real-time asphalt pavement crack detection on resource-constrained devices

LightSegmentor: Lightweight Model for Real-time Semantic Segmentation

A real-time multiscale pavement crack-detection model