Car Traffic Sign Recognizer Using Convolutional Neural Network CNN

被引:5
|
作者
Lodhi, Abhay [1 ]
Singhal, Sagar [2 ]
Massoudi, Massoud [3 ]
机构
[1] Delhi Technol Univ, Comp Sci Dept, Delhi, India
[2] Delhi Technol Univ, Elect & Commun Dept, Delhi, India
[3] Delhi Technol Univ, Delhi, India
来源
PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTATION TECHNOLOGIES (ICICT 2021) | 2021年
关键词
Convolution neural network; Adam optimizer; Traffic Sign;
D O I
10.1109/ICICT50816.2021.9358594
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Acknowledgment of traffic signs vary significantly in numerous applications, for example, in self-driving vehicle/driverless vehicle, traffic planning and traffic observation. Traffic Sign Recognition (TSR) framework is a segment of Driving Assistance System (ADAS). The TSR framework helps the drivers in safe driving as street signs give significant data of the street The car business has built up a great deal and a portion of the organizations are attempting to assemble self-sufficient vehicles and in which traffic sign acknowledgment is one of the significant factors to be thought of. To perceive the traffic signs, a model utilizing convolutional neural network is fabricated and this model will perceive the traffic signs. This model can likewise be utilized in typical vehicles to caution the driver about traffic signs through content identification.
引用
收藏
页码:577 / 582
页数:6
相关论文
共 50 条
  • [21] Disease Detection in Arecanut using Convolutional Neural Network
    Karthik, Arun, V
    Shivaprakash, Jatin
    Rajeswari, D.
    2024 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION AND APPLIED INFORMATICS, ACCAI 2024, 2024,
  • [22] Software Defect Prediction using Convolutional Neural Network
    Wongpheng, Kittisak
    Visutsak, Porawat
    35TH INTERNATIONAL TECHNICAL CONFERENCE ON CIRCUITS/SYSTEMS, COMPUTERS AND COMMUNICATIONS (ITC-CSCC 2020), 2020, : 240 - 243
  • [23] Classification of Nile Tilapia using Convolutional Neural Network
    Hernandez, Rowell M.
    Hernandez, Alexander A.
    2019 IEEE 9TH INTERNATIONAL CONFERENCE ON SYSTEM ENGINEERING AND TECHNOLOGY (ICSET), 2019, : 126 - 131
  • [24] Skin Cancer Detection Using Convolutional Neural Network
    Hasan, Mahamudul
    Das Barman, Surajit
    Islam, Samia
    Reza, Ahmed Wasif
    ICCAI '19 - PROCEEDINGS OF THE 2019 5TH INTERNATIONAL CONFERENCE ON COMPUTING AND ARTIFICIAL INTELLIGENCE, 2019, : 254 - 258
  • [25] Fingerprint Classification using a Deep Convolutional Neural Network
    Pandya, Bhavesh
    Cosma, Georgina
    Alani, Ali A.
    Taherkhani, Aboozar
    Bharadi, Vinayak
    McGinnity, T. M.
    2018 4TH INTERNATIONAL CONFERENCE ON INFORMATION MANAGEMENT (ICIM2018), 2018, : 86 - 91
  • [26] Detection of Strawberry Diseases Using a Convolutional Neural Network
    Xiao, Jia-Rong
    Chung, Pei-Che
    Wu, Hung-Yi
    Phan, Quoc-Hung
    Yeh, Jer-Liang Andrew
    Hou, Max Ti-Kuang
    PLANTS-BASEL, 2021, 10 (01): : 1 - 14
  • [27] Multi-column Spatial Transformer Convolution Neural Network for Traffic Sign Recognition
    Zhang, Jin
    Duan, Shukai
    Wang, Lidan
    Zou, Xianli
    ADVANCES IN NEURAL NETWORKS - ISNN 2018, 2018, 10878 : 593 - 600
  • [28] Neural Network-POMDP-Based Traffic Sign Classification Under Weather Conditions
    Shahryari, Shervin
    Hamilton, Cameron
    ADVANCES IN ARTIFICIAL INTELLIGENCE, AI 2016, 2016, 9673 : 122 - 127
  • [29] A CNN Based Encrypted Network Traffic Classifier
    Okonkwo, Zulu
    Foo, Ernest
    Li, Qinyi
    Hou, Zhe
    2022 AUSTRALIAN COMPUTER SCIENCE WEEK (ACSW 2022), 2022, : 74 - 83
  • [30] Traffic sign detection and recognition based on pyramidal convolutional networks
    Zhenwen Liang
    Jie Shao
    Dongyang Zhang
    Lianli Gao
    Neural Computing and Applications, 2020, 32 : 6533 - 6543