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
  • [1] Traffic Sign Recognition Based on Convolutional Neural Network Model
    He, Zhilong
    Xiao, Zhongjun
    Yan, Zhiguo
    2020 CHINESE AUTOMATION CONGRESS (CAC 2020), 2020, : 155 - 158
  • [2] Traffic Sign Recognition Based on SVM And Convolutional Neural Network
    Tong Guofeng
    Chen Huairong
    Li Yong
    Zheng Kai
    PROCEEDINGS OF THE 2017 12TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2017, : 2066 - 2071
  • [3] Traffic Sign Classification with Dataset Augmentation and Convolutional Neural Network
    Tang, Qing
    Kurnianggoro, Laksono
    Jo, Kang-Hyun
    NINTH INTERNATIONAL CONFERENCE ON GRAPHIC AND IMAGE PROCESSING (ICGIP 2017), 2018, 10615
  • [4] A Traffic Sign Detection Algorithm Based on Deep Convolutional Neural Network
    Xiong Changzhen
    Wang Cong
    Ma Weixin
    Shan Yanmei
    2016 IEEE INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING (ICSIP), 2016, : 676 - 679
  • [5] A Traffic Sign Image Recognition and Classification Approach Based on Convolutional Neural Network
    Liu Shangzhen
    2019 11TH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA 2019), 2019, : 408 - 411
  • [6] Bangla Sign Language Recognition using Convolutional Neural Network
    Yasir, Farhad
    Prasad, P. W. C.
    Alsadoon, Abeer
    Elchouemi, A.
    Sreedharan, Sasikumaran
    2017 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING, INSTRUMENTATION AND CONTROL TECHNOLOGIES (ICICICT), 2017, : 49 - 53
  • [7] Sign Language Gesture to Speech Conversion Using Convolutional Neural Network
    Tope, Shreya
    Gomkar, Sadnyani
    Rathkanthiwar, Pukhraj
    Ganguli, Aayushi
    Selokar, Pradip R.
    INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING, 2023, 14 (01): : 24 - 29
  • [8] Identification and Acknowledgment of Programmed Traffic Sign Utilizing Profound Convolutional Neural Organization
    Vigneshwaran, P.
    Prasath, N.
    Islabudeen, M.
    Arun, A.
    Sampath, A. K.
    INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2023, 35 (02): : 1527 - 1543
  • [9] Traffic Sign Detection and Classification using Colour Feature and Neural Network
    Sheikh, Md. Abdul Alim
    Kole, Alok
    Maity, Tanmoy
    2016 INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL POWER AND INSTRUMENTATION (ICICPI), 2016, : 307 - 311
  • [10] Enhancing the robustness of the convolutional neural networks for traffic sign detection
    Khosravian, Amir
    Amirkhani, Abdollah
    Masih-Tehrani, Masoud
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2022, 236 (08) : 1849 - 1861