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RETRACTED ARTICLE: Design of traffic object recognition system based on machine learning

  • S. I : Intelligent Computing Methodologies in Machine learning for IoT Applications
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This article was retracted on 14 December 2022

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Abstract

In recent years, researchers have proposed many methods to solve the problem of obstacle detection. However, computer vision-based vehicle detection and recognition technology is still not mature enough. This research combines machine learning technology to construct a traffic object recognition system and applies innovative technology to the computer vision recognition system to construct an automatic identification system suitable for current traffic demand and improve the stability of the traffic system. Moreover, this study uses a combination of a monocular camera and a binocular camera to sense the traffic environment and obtain vehicle position and velocity information. In addition, this study is based on the binocular stereo camera to find the obstacle space and obtain the obstacle relative to the position and speed of the vehicle and combine the obstacle space information to optimize the obstacle frame of the target vehicle. Through experimental research and analysis, it can be seen that the algorithm proposed in this study has certain recognition effect and can be applied to traffic object recognition.

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Acknowledgements

This paper was supported by project funded by China Postdoctoral Science Foundation, project funded by National Key R&D Program of China (Nos. 2017YFB0503604; 2017YFB0503801), project funded by Cross and Multi Dimension Electronic Fence System Project, project funded by the Project (017/2018/A) of FDCT and project funded by the Project of Macao Foundation.

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Authors and Affiliations

  1. Zhuhai Da Hengqin Science and Technology Development Co., Ltd, Zhuhai, China

    Lianbing Deng

  2. The Post-Doctoral Research Center of Zhuhai Da Hengqin Science and Technology Development Co., Ltd, Hengqin New Area, China

    Daming Li & Zhiming Cai

  3. Institute of Data Science, City University of Macau, Macao, China

    Daming Li

Authors
  1. Daming Li
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  2. Lianbing Deng
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  3. Zhiming Cai
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Correspondence to Daming Li.

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This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s00521-022-08148-7"

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Li, D., Deng, L. & Cai, Z. RETRACTED ARTICLE: Design of traffic object recognition system based on machine learning. Neural Comput & Applic 33, 8143–8156 (2021). https://doi.org/10.1007/s00521-020-04912-9

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  • DOI: https://doi.org/10.1007/s00521-020-04912-9

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