Vision-based positioning for internet-of-vehicles

Kuan Wen Chen, Chun Hsin Wang, Xiao Wei, Qiao Liang, Chu Song Chen, Ming Hsuan Yang, Yi Ping Hung

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

This paper presents an algorithm for ego-positioning by using a low-cost monocular camera for systems based on the Internet-of-Vehicles. To reduce the computational and memory requirements, as well as the communication load, we tackle the model compression task as a weighted $k$-cover problem for better preserving the critical structures. For real-world vision-based positioning applications, we consider the issue of large scene changes and introduce a model update algorithm to address this problem. A large positioning data set containing data collected for more than a month, 106 sessions, and 14 275 images is constructed. Extensive experimental results show that submeter accuracy can be achieved by the proposed ego-positioning algorithm, which outperforms existing vision-based approaches.

Original languageEnglish
Article number7506097
Pages (from-to)364-376
Number of pages13
JournalIEEE Transactions on Intelligent Transportation Systems
Volume18
Issue number2
DOIs
Publication statusPublished - 2017 Feb

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Internet
Cameras
Data storage equipment
Communication
Costs

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

Cite this

Chen, K. W., Wang, C. H., Wei, X., Liang, Q., Chen, C. S., Yang, M. H., & Hung, Y. P. (2017). Vision-based positioning for internet-of-vehicles. IEEE Transactions on Intelligent Transportation Systems, 18(2), 364-376. [7506097]. https://doi.org/10.1109/TITS.2016.2570811
Chen, Kuan Wen ; Wang, Chun Hsin ; Wei, Xiao ; Liang, Qiao ; Chen, Chu Song ; Yang, Ming Hsuan ; Hung, Yi Ping. / Vision-based positioning for internet-of-vehicles. In: IEEE Transactions on Intelligent Transportation Systems. 2017 ; Vol. 18, No. 2. pp. 364-376.
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Chen, KW, Wang, CH, Wei, X, Liang, Q, Chen, CS, Yang, MH & Hung, YP 2017, 'Vision-based positioning for internet-of-vehicles', IEEE Transactions on Intelligent Transportation Systems, vol. 18, no. 2, 7506097, pp. 364-376. https://doi.org/10.1109/TITS.2016.2570811

Vision-based positioning for internet-of-vehicles. / Chen, Kuan Wen; Wang, Chun Hsin; Wei, Xiao; Liang, Qiao; Chen, Chu Song; Yang, Ming Hsuan; Hung, Yi Ping.

In: IEEE Transactions on Intelligent Transportation Systems, Vol. 18, No. 2, 7506097, 02.2017, p. 364-376.

Research output: Contribution to journalArticle

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