Refined Crack Detection via LECSFormer for Autonomous Road Inspection Vehicles
文献类型：期刊论文
| 作者 | Chen, Junzhou1,5; Zhao, Nan1,5; Zhang, Ronghui1,5; Chen, Long4 ; Huang, Kai3; Qiu, Zhijun2
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| 刊名 | IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
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| 出版日期 | 2023-03-01 |
| 卷号 | 8期号:3页码:2049-2061 |
| 关键词 | Roads Transformers Feature extraction Diseases Inspection Shape Intelligent vehicles Refined crack detection window-based trans-former semantic segmentation autonomous road inspection vehicles |
| ISSN号 | 2379-8858 |
| DOI | 10.1109/TIV.2022.3204583 |
| 通讯作者 | Zhang, Ronghui(zhangrh25@mail.sysu.edu.cn) |
| 英文摘要 | Due to the rising cost of human resources in road maintenance and the pursuit of efficiency, autonomous road inspection vehicles are developed for intelligent detection of road disease to prevent severe traffic disasters in the early stages. Nevertheless, as a prevalent road disease, road cracks are diverse and susceptible to shadows, weather changes, and noise in data acquisition. Moreover, they usually appear with thin shapes that are hard to detect correctly by existing methods. To handle this problem, more details of the road cracks need to be better analyzed. In this article, we propose a refined road crack detection method named locally enhanced cross-shaped windows transformer (LECSFormer), which adopts a delicate design of the encoder-decoder structure. The encoder employs window-based transformer blocks to model long-range dependencies. Each transformer block ensembles the locally enhanced module to enrich the local contextual information, and token shuffle operation is applied to build cross-windows connections. The decoder uses dense connections to fuse multi-scale information, and the feature fusion module fuses hierarchical features and reweights them by the channel attention mechanism. The proposed method outperforms other state-of-the-art methods with ODS of 0.963, 0.917, 0.952, and 0.953 on four challenging datasets, CrackTree260, CrackLS315, Stone331, and CRKWH100. It can accurately detect cracks in road surfaces and support intelligent preventive maintenance of roads. |
| WOS关键词 | DAMAGE DETECTION ; NEURAL-NETWORK ; SEGMENTATION |
| 资助项目 | Shenzhen Key Science and Technology Program[JSGG20210802153412036] ; Shenzhen Fundamental Research Program[JCYJ20200109142217397] ; Guangdong Natural Science Foundation[2021A1515011794] ; Guangdong Natural Science Foundation[2021B1515120032] ; National Natural Science Foundation of China[52172350] ; National Natural Science Foundation of China[51775565] ; Guangzhou Science and Technology Plan Project[202206030005] ; Guangzhou Science and Technology Plan Project[202007050004] |
| WOS研究方向 | Computer Science ; Engineering ; Transportation |
| 语种 | 英语 |
| WOS记录号 | WOS:000981348100006 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | Shenzhen Key Science and Technology Program ; Shenzhen Fundamental Research Program ; Guangdong Natural Science Foundation ; National Natural Science Foundation of China ; Guangzhou Science and Technology Plan Project |
| 源URL | [http://ir.ia.ac.cn/handle/173211/53320]  |
| 专题 | 多模态人工智能系统全国重点实验室 |
| 通讯作者 | Zhang, Ronghui |
| 作者单位 | 1.Sun Yat sen Univ, Sch Intelligent Syst Engn, Shenzhen Campus, Shenzhen 518107, Guangdong, Peoples R China 2.Univ Alberta, Dept Civil & Environm Engn, Edmonton, AB T6G 2R3, Canada 3.Sun Yat sen Univ, Sch Data & Comp Sci, Guangzhou 510275, Peoples R China 4.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 5.Sun Yat sen Univ, Guangdong Prov Key Lab Fire Sci & Intelligent Emer, Guangzhou 510006, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Junzhou,Zhao, Nan,Zhang, Ronghui,et al. Refined Crack Detection via LECSFormer for Autonomous Road Inspection Vehicles[J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,2023,8(3):2049-2061. |
| APA | Chen, Junzhou,Zhao, Nan,Zhang, Ronghui,Chen, Long,Huang, Kai,&Qiu, Zhijun.(2023).Refined Crack Detection via LECSFormer for Autonomous Road Inspection Vehicles.IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,8(3),2049-2061. |
| MLA | Chen, Junzhou,et al."Refined Crack Detection via LECSFormer for Autonomous Road Inspection Vehicles".IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 8.3(2023):2049-2061. |
入库方式： OAI收割
来源：自动化研究所
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