Vehicle Logo Detection Based on Modified YOLOv2

  • Shuo Yang
  • Chunjuan Bo
  • Junxing ZhangEmail author
  • Meng Wang
Conference paper
Part of the EAI/Springer Innovations in Communication and Computing book series (EAISICC)


Vehicle logo detection technology is one of the research directions in the application of intelligent transportation systems. It is an important extension of detection technology based on license plates and motorcycle types. A vehicle logo is characterized by uniqueness, conspicuousness, and diversity. Therefore, thorough research is important in theory and application. Although numerous vehicle logo detection methods exist, most of them cannot achieve real-time detection for different scenes. The YOLOv2 network is improved by constructing the data of a vehicle logo, dimension clustering of the bounding box, reconstructing network pre-training, and multi-scale detection training. This work implements fast and accurate vehicle logo detection. The generalization of the detection model and anti-interference capability in real scenes are optimized by data enrichment. The experimental results show that the accuracy and speed of the detection algorithm are improved.


Vehicle logo detection Reality scene YOLOv2 Data conformation 



This work is supported by National Key Technology Research and Development Program of the Ministry of Science and Technology of China (No. 2015BAD29B01), Key Research Guidance Plan Project of Liaoning Province (No. 2017104013), Natural Science Foundation of Liaoning Province (No. 201700133), and Fundamental Research Funds of Central University (No. 0102-20000101).


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Shuo Yang
    • 1
  • Chunjuan Bo
    • 2
    • 3
  • Junxing Zhang
    • 1
    Email author
  • Meng Wang
    • 1
  1. 1.College of Electromechanical EngineeringDalian Minzu UniversityDalianChina
  2. 2.College of Information and Communication EngineeringDalian Minzu UniversityDalianChina
  3. 3.Key Laboratory of Intelligent Perception and Advanced Control of State Ethnic Affairs CommissionDalian Minzu UniversityDalianChina

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