Deep Convolutional Neural Network Based Traffic Vehicle Detection and Recognition

Yukun Rao; Guanwen Zhang; Wei Zhou; Changhao Wang; Yu Lv

IoT as a Service. 5th EAI International Conference, IoTaaS 2019, Xi’an, China, November 16-17, 2019, Proceedings

Research Article

Deep Convolutional Neural Network Based Traffic Vehicle Detection and Recognition

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@INPROCEEDINGS{10.1007/978-3-030-44751-9_36,
    author={Yukun Rao and Guanwen Zhang and Wei Zhou and Changhao Wang and Yu Lv},
    title={Deep Convolutional Neural Network Based Traffic Vehicle Detection and Recognition},
    proceedings={IoT as a Service. 5th EAI International Conference, IoTaaS 2019, Xi’an, China, November 16-17, 2019, Proceedings},
    proceedings_a={IOTAAS},
    year={2020},
    month={6},
    keywords={Intelligent vehicle traffic vehicle classification Multi-label classification Traffic vehicle detection},
    doi={10.1007/978-3-030-44751-9_36}
}

Yukun Rao
Guanwen Zhang
Wei Zhou
Changhao Wang
Yu Lv
Year: 2020
Deep Convolutional Neural Network Based Traffic Vehicle Detection and Recognition
IOTAAS
Springer
DOI: 10.1007/978-3-030-44751-9_36

Yukun Rao¹, Guanwen Zhang¹^,*, Wei Zhou¹^,*, Changhao Wang¹, Yu Lv¹

1: Northwestern Polytechnical University

*Contact email: guanwen.zh@nwpu.edu.cn, zhouwei@nwpu.edu.cn

Abstract

Traffic vehicle detection and recognition is a core technology of advanced driver assistant system (ADSD) for the intelligent vehicle. In this paper, we employ the convolution neural network (CNN) to perform the end-to-end vehicle detection and recognition.

Keywords: Intelligent vehicle traffic vehicle classification Multi-label classification Traffic vehicle detection

Published: 2020-06-05
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-030-44751-9_36