Traffic sign detection and recognition based on pyramidal convolutional networks
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-019-04086-z.pdf
Reference45 articles.
1. Badrinarayanan V, Kendall A, Cipolla R (2017) SegNet: a deep convolutional encoder–decoder architecture for image segmentation. IEEE Trans Pattern Anal Mach Intell 39(12):2481–2495
2. Bell S, Zitnick CL, Bala K, Girshick RB (2016) Inside–outside net: detecting objects in context with skip pooling and recurrent neural networks. In: 2016 IEEE conference on computer vision and pattern recognition, CVPR 2016, Las Vegas, NV, USA, 27–30 June 2016, pp 2874–2883
3. Cabrera MD, Cerri P, Medici P (2015) Robust real-time traffic light detection and distance estimation using a single camera. Expert Syst Appl 42(8):3911–3923
4. Carlet J, Abayowa B (2017) Fast vehicle detection in aerial imagery. CoRR arXiv:abs/1709.08666
5. Chen X, Kundu K, Zhu Y, Ma H, Fidler S, Urtasun R (2018) 3D object proposals using stereo imagery for accurate object class detection. IEEE Trans Pattern Anal Mach Intell 40(5):1259–1272
Cited by 40 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. A coarse-to-fine small object detection framework based on a background complexity classification strategy;Neural Computing and Applications;2024-04-07
2. Enhancing traffic sign recognition (TSR) by classifying deep learning models to promote road safety;Signal, Image and Video Processing;2024-03-30
3. Survey on Traffic Sign Recognition Using Computer Vision Technologies;2024 5th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV);2024-03-11
4. DETReg Incorporating Semi-Supervised Learning for Object Detection in the Advanced Driver-Assistance Systems;2024 1st International Conference on Robotics, Engineering, Science, and Technology (RESTCON);2024-02-16
5. Traffic Sign Recognition System Using YOLO: Societal System for Safe Driving;Techno-Societal 2022;2023-11-19
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