An Efficient Small Traffic Sign Detection Method Based on YOLOv3-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

An Efficient Small Traffic Sign Detection Method Based on YOLOv3

Published:2020-11-20 Issue:8 Volume:93 Page:899-911
ISSN:1939-8018
Container-title:Journal of Signal Processing Systems
language:en
Short-container-title:J Sign Process Syst

Author:

Wan Jixiang^ORCID,Ding Wei,Zhu Hanlin,Xia Ming,Huang Zunkai,Tian Li,Zhu Yongxin,Wang Hui

Funder

National Key Research and Development Project

National Natural Science Foundation of China

Key Projects of Bureau of International Cooperation Chinese Academy of Sciences

National Natural Science Foundation Youth Fund

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Modeling and Simulation,Information Systems,Signal Processing,Theoretical Computer Science,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11265-020-01614-2.pdf

Reference29 articles.

1. Liu, H., Liu, Y., & Sun, F. (2014). Traffic sign recognition using group sparse coding. Information Sciences, 266, 75–89.

2. Abdi, L., & Meddeb, A. (2018). Spatially enhanced bags of visual words representation to improve traffic signs recognition. Journal of Signal Processing Systems, 90(12), 1729–1741.

3. Chen, Y., Zhao, D., Lv, L., & Zhang, Q. (2018). Multi-task learning for dangerous object detection in autonomous driving. Information Sciences, 432, 559–571.

4. Maldonado-Bascón, S., Lafuente-Arroyo, S., Gil-Jimenez, P., Gómez-Moreno, H., & López-Ferreras, F. (2007). Road-sign detection and recognition based on support vector machines. IEEE Transactions on Intelligent Transportation Systems, 8(2), 264–278.

5. Jang, C., Kim, C., Kim, D., Lee, M., & Sunwoo, M. (2014). Multiple exposure images based traffic light recognition. In 2014 IEEE Intelligent Vehicles Symposium Proceedings, (pp. 1313-1318).

Cited by 37 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. CTM-YOLOv8n: A Lightweight Pedestrian Traffic-Sign Detection and Recognition Model with Advanced Optimization;World Electric Vehicle Journal;2024-06-26

2. A coarse-to-fine small object detection framework based on a background complexity classification strategy;Neural Computing and Applications;2024-04-07

3. A review of small object detection based on deep learning;Neural Computing and Applications;2024-02-15

4. Traffic Sign Detection and Recognition Using YOLO Object Detection Algorithm: A Systematic Review;Mathematics;2024-01-17

5. Deep Learning-Based Computer Vision Methods for Complex Traffic Environments Perception: A Review;Data Science for Transportation;2024-01-08

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3