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Journal of Sensors
Volume 2017, Article ID 5627281, 10 pages
https://doi.org/10.1155/2017/5627281
Research Article

Vehicle Detection Based on Deep Dual-Vehicle Deformable Part Models

1Institute of Automotive Engineering, Jiangsu University, Zhenjiang 212013, China
2School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China
3School of Automotive and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China

Correspondence should be addressed to Yong Zhang; moc.361@sj.yz

Received 8 June 2017; Revised 29 September 2017; Accepted 10 October 2017; Published 5 December 2017

Academic Editor: Mi Zhang

Copyright © 2017 Yingfeng Cai et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Yingfeng Cai, Ze Liu, Xiaoqiang Sun, Long Chen, Hai Wang, and Yong Zhang, “Vehicle Detection Based on Deep Dual-Vehicle Deformable Part Models,” Journal of Sensors, vol. 2017, Article ID 5627281, 10 pages, 2017. https://doi.org/10.1155/2017/5627281.