Refined Crack Detection via LECSFormer for Autonomous Road Inspection Vehicles-Reference-Cited by-同舟云学术

Refined Crack Detection via LECSFormer for Autonomous Road Inspection Vehicles

Author:

Chen Junzhou¹^ORCID,Zhao Nan¹,Zhang Ronghui¹^ORCID,Chen Long²^ORCID,Huang Kai³^ORCID,Qiu Zhijun⁴^ORCID

Affiliation:

1. School of Intelligent Systems Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China

2. State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

3. School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China

4. Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB, Canada

Funder

Shenzhen Key Science and Technology Program

Shenzhen Fundamental Research Program

Natural Science Foundation of Guangdong Province

National Natural Science Foundation of China

Guangzhou Science and Technology Plan Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Automotive Engineering

Link

Reference58 articles.

1. Pushing the envelope of thin crack detection;xu,2021

4. Bisenet: Bilateral segmentation network for real-time semantic segmentation;yu;Proc Eur Conf Comput Vis,0

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