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
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.
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