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A new sparse model for traffic sign classification using soft histogram of oriented gradients

  • Published:2017-03 Issue: Volume:52 Page:231-246
  • ISSN:1568-4946
  • Container-title:Applied Soft Computing
  • language:en
  • Short-container-title:Applied Soft Computing

Author:

Kassani Peyman Hosseinzadeh,Teoh Andrew Beng Jin

Publisher

Elsevier BV

Subject

Software

Reference50 articles.

1. Keynote Speech: Strategy Analytics: Automotive Ethernet: Market Growth Outlook IEEE-SA, Ethernet & IP @ Automotive Technology Day;Riches,2014

2. Real-Time traffic-Sign recognition using tree classifiers;Zaklouta;IEEE Trans. Intell. Transp. Syst.,2012

3. Fast traffic sign recognition via high-Contrast region extraction and extended sparse representation;Liu;IEEE Trans. Intell. Transp. Syst.,2016

4. Multiple thresholding and subspace based approach for detection and recognition of traffic sign;Gudigar;Multimedia Tools Apps,2016

5. Traffic sign detection and recognition based on random forests;Ellahyani;Appl. Soft Comput.,2016

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2. Traffic Sign Recognition Algorithm Based on Sparse Coding End-to-End Training;2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA);2024-01-26

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4. Traffic Sign Detection with Low Complexity for Intelligent Vehicles Based on Hybrid Features;Computers, Materials & Continua;2023

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