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检索条件"主题词=Road defect detection"
17 条 记 录,以下是1-10 订阅
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Deep Learning-Based Algorithm for road defect detection
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SENSORS 2025年 第5期25卷 1287-1287页
作者: Li, Shaoxiang Zhang, Dexiang Anhui Univ Sch Elect Engn & Automat Hefei 230601 Peoples R China
With the increasing demand for road defect detection, existing deep learning methods have made significant progress in terms of accuracy and speed. However, challenges remain, such as insufficient detection precision ... 详细信息
来源: 评论
Research on road defect detection Algorithm Based on LD-YOLOv8  1
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17th International Conference on Intelligent Robotics and Applications
作者: Zhao, Enlong Xi An Jiao Tong Univ Xian 710049 Peoples R China
To enhance the performance of road defect detection methods, YOLOv8s is used as the benchmark model in this study, with improvements made to the model structure. Firstly, to better detect small object defects, the bac... 详细信息
来源: 评论
A road defect detection Algorithm Based on Improved YOLOv8  5th
A Road Defect Detection Algorithm Based on Improved YOLOv8
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5th International Conference on Neural Computing for Advanced Applications (NCAA)
作者: Niu, Yiqing Cao, Jianrong Wang, Yuanchang Shandong Jianzhu Univ Sch Informat & Elect Engn Jinan 250101 Peoples R China
road defect detection is considered a prerequisite for maintaining road quality and a necessary measure to ensure driving safety. In addressing the challenges posed by existing methods' inefficiency, inaccuracy, a... 详细信息
来源: 评论
Lightweight road defect detection Algorithm Based on Improved YOLOv10
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ENGINEERING LETTERS 2025年 第5期33卷 1193-1202页
作者: Zhang, Kaihui Wu, Yanze Li, Nan Guo, Xiaoyu Cheng, Ran Zhu, Lijun Shenyang Univ Chem Technol Sch Comp Sci & Technol Shenyang 110142 Peoples R China
road defect detection is an important task for road repair. Aiming at the problems of current road defect detection algorithms, such as large occupied space, low precision and complicated calculation, this paper intro... 详细信息
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Platform for road defect detection Based on Edge Computing Devices  11
Platform for Road Defect Detection Based on Edge Computing D...
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11th IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan) - Empower of Innovative Consumer Technology
作者: Lin, Jia-Yan Lin, Feng-Cheng Feng Chia Univ Dept Informat Engn & Comp Sci Taichung Taiwan
The importance of road defect detection is evident in maintaining and improving transportation infrastructure, enhancing traffic safety, and reducing vehicle damage and accident risks. However, current detection metho... 详细信息
来源: 评论
YOLO-RDD: A road defect detection algorithm based on YOLO  27
YOLO-RDD: A road defect detection algorithm based on YOLO
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27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
作者: Pei, Jiabin Wu, Xiaoming Liu, Xiangzhi Qilu Univ Technol Shandong Acad Sci Shandong Comp Sci CtrMinist Educ Natl Supercomp Ctr JinanKey Lab Comp Power Netwo Jinan Peoples R China Shandong Fundamental Res Ctr Comp Sci Shandong Prov Key Lab Comp Networks Jinan Peoples R China
road maintenance is an indispensable part of the transportation system, ensuring road safety and maximizing road efficiency. The rapid and accurate acquisition of road surface information is crucial for effective road... 详细信息
来源: 评论
Improving road defect detection Precision and Efficiency with Structural Pruning Techniques  21
Improving Road Defect Detection Precision and Efficiency wit...
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21st International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2024
作者: Ouyang, Hang Li, Tailin Wang, Chongru Gu, Yuanting Yang, Fan Deng, Kaixin College of Computer Science and Cyber Security Chengdu University of Technology Sichuan Chengdu China College of Energy Chengdu University of Technology Sichuan Chengdu China
Timely detection and treatment of road defects are essential to ensure the road safety, comfort, and the longevity. However, due to high usage frequency and complex, variable environmental conditions, road defects are... 详细信息
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Research on road defect detection based on improved YOLOv8  11
Research on road defect detection based on improved YOLOv8
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11th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2023
作者: Li, Guoxin Zhu, Dongbi College of Engineering Yanbian University Jilin China
Currently, the use of autonomous driving technology in China is generally limited by strict lane division and road conditions. In contrast to Tesla's vision-based autonomous driving technology, autonomous driving ... 详细信息
来源: 评论
road defect detection from on-board cameras with scarce and cross-domain data
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AUTOMATION IN CONSTRUCTION 2022年 144卷
作者: Zhou, Wei Zhan, Yunfei Zhang, Hancheng Zhao, Lei Wang, Chen Southeast Univ Sch Transportat Southeast Univ Rd Nanjing 211189 Jiangsu Peoples R China Purple Mt Labs Mozhou East Rd Nanjing 210008 Jiangsu Peoples R China
Deep learning methods have attained promising performance on road defect detection from on-board cameras. However, they oftentimes rely heavily on well-annotated datasets with sufficient samples, limiting the practica... 详细信息
来源: 评论
ADNet: Anti-noise dual-branch network for road defect detection
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2024年 132卷
作者: Wan, Bin Zhou, Xiaofei Sun, Yaoqi Wang, Tingyu Lv, Chengtao Wang, Shuai Yin, Haibing Yan, Chenggang Hangzhou Dianzi Univ Sch Automat Hangzhou 310018 Peoples R China Hangzhou Dianzi Univ Sch Cyberspace Hangzhou 310018 Peoples R China Hangzhou Dianzi Univ Sch Commun Engn Hangzhou 310018 Peoples R China Hangzhou Dianzi Univ Lishui Inst Hangzhou 310018 Peoples R China
This paper addresses the issue of noise interference in road defect detection, caused by various environmental factors or acquisition equipment. In this article, we add three different levels of salt & pepper nois... 详细信息
来源: 评论