Design of efficient embedded system for road sign recognition
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
http://link.springer.com/article/10.1007/s12652-017-0673-3/fulltext.html
Reference54 articles.
1. Ahonen T, Matas J, He C, Pietikäinen M (2009) Rotation invariant image description with local binary pattern histogram fourier features. In: Image analysis. Springer, Berlin, pp 61–70
2. Alefs B, Eschemann G, Ramoser H, Beleznai C (2007) Road sign detection from edge orientation histograms. 2007 IEEE intelligent vehicles symposium, pp 993–998
3. Alsibai MH, Hirai Y (2010) Real-time recognition of blue traffic signs designating directions. Int J Intell Transp Syst Res 8:96–105. https://doi.org/10.1007/s13177-010-0010-0
4. Anders J, Mefenza M, Bobda C, Yonga F, Aklah Z, Gunn K (2016) A hardware/software prototyping system for driving assistance investigations. J Real-Time Image Proc 11(3):559–569
5. Chen Z, Huang X, Ni Z, He H (2014) A GPU-based real-time traffic sign detection and recognition system. 2014 IEEE symposium on computational intelligence in vehicles and transportation systems (CIVTS), pp 1–5
Cited by 32 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. Recent advances in Machine Learning based Advanced Driver Assistance System applications;Microprocessors and Microsystems;2024-09
2. Advancing the measurement speed and accuracy of conventional BOTDA fiber sensor systems via SoC data acquisition;Optical Fiber Technology;2024-05
3. Fast and Accurate Measurement in BOTDA Fiber Sensor Through the Application of Filtering Techniques in Frequency and Time Domains;IEEE Sensors Journal;2024-02-15
4. AI on the Road: NVIDIA Jetson Nano-Powered Computer Vision-Based System for Real-Time Pedestrian and Priority Sign Detection;Applied Sciences;2024-02-09
5. A novel cooperative collision avoidance system for vehicular communication based on deep learning;International Journal of Information Technology;2023-11-01
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