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Mobile Information Systems
Volume 2017 (2017), Article ID 8104386, 14 pages
https://doi.org/10.1155/2017/8104386
Research Article

Efficient ConvNet Feature Extraction with Multiple RoI Pooling for Landmark-Based Visual Localization of Autonomous Vehicles

1College of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan, China
2Department of Computing Science, University of Alberta, Edmonton, AB, Canada T6G 2E8

Correspondence should be addressed to Yi Hou; moc.liamg@eiwohuohiy

Received 12 May 2017; Revised 28 July 2017; Accepted 11 October 2017; Published 9 November 2017

Academic Editor: Paolo Bellavista

Copyright © 2017 Yi Hou 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

Yi Hou, Hong Zhang, Shilin Zhou, and Huanxin Zou, “Efficient ConvNet Feature Extraction with Multiple RoI Pooling for Landmark-Based Visual Localization of Autonomous Vehicles,” Mobile Information Systems, vol. 2017, Article ID 8104386, 14 pages, 2017. doi:10.1155/2017/8104386