Traffic Sign Recognition Using Histogram of Oriented Gradients and Convolutional Neural Networks
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-68004-6_59
Reference23 articles.
1. Yao, C., Wu, F., Chen, H., Hao, X., Shen, Y.: Traffic sign recognition using HOG-SVM and grid search. In: 12th International Conference on Signal Processing, Hangzhou, pp. 962–965 (2014)
2. Shao, F., Wang, X., Meng, F., Rui, T., Wang, D., Tang, J.: Real-time traffic sign detection and recognition method based on simplified Gabor wavelets and CNNs. Sensors 18(3) (2018). https://doi.org/10.3390/s18103192
3. Stallkamp, J., Schlipsing, M., Salmen, J., Igel, C.: Man vs. computer: benchmarking machine learning algorithms for traffic sign recognition. Neural Netw. 32, 323–332 (2012)
4. Houben, S., Stallkamp, J., Salmen, J., Schlipsing, M., Igel, C.: Detection of traffic signs in real-world images: the German traffic sign detection benchmark. In: IJCNN, pp. 1–8. IEEE Press (2013)
5. Mogelmose, A., Trivedi, M., Moeslund, T.B.: Vision-based traffic sign detection and analysis for intelligent driver assistance systems: perspectives and survey. Trans. Intell. Transp. Syst. 13(4), 1484–1497 (2012)
Cited by 4 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. Development of Real-Time Detection of Philippine Traffic Signs Using YOLOv4-Tiny;2024 IEEE 6th Symposium on Computers & Informatics (ISCI);2024-08-10
2. A Method Supporting Hardware Implementation of Vector Quantization Module in HoG Algorithm;2024 31st International Conference on Mixed Design of Integrated Circuits and System (MIXDES);2024-06-27
3. Traffic Sign Detection with Low Complexity for Intelligent Vehicles Based on Hybrid Features;Computers, Materials & Continua;2023
4. Robust Traffic Sign Recognition Against Camera Failures;IEEE Open Journal of Intelligent Transportation Systems;2022
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