Pavement Distress Detection Using Street View Images Captured via Action Camera

Author:

Liu Yuchen1,Liu Fang2ORCID,Liu Wei1,Huang Yucheng1ORCID

Affiliation:

1. School of Rail Transportation, Soochow University, Suzhou, China

2. Academy of Creative Technology, Xi’an Jiaotong-Liverpool University, Suzhou, China

Funder

Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province, China

Jiangsu Geology and Mineral Exploration Bureau

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A lightweight detection method of pavement potholes based on binocular stereo vision and deep learning;Construction and Building Materials;2024-07

2. YOLOX-RDD: A Method of Anchor-Free Road Damage Detection for Front-View Images;IEEE Transactions on Intelligent Transportation Systems;2024

3. RCYOLO: An Efficient Small Target Detector for Crack Detection in Tubular Topological Road Structures Based on Unmanned Aerial Vehicles;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

4. Real-Time Pavement Damage Detection With Damage Shape Adaptation;IEEE Transactions on Intelligent Transportation Systems;2024

5. Multi-Scale Semantic Map Distillation for Lightweight Pavement Crack Detection;IEEE Transactions on Intelligent Transportation Systems;2024

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