Hybrid Electric Vehicle Traffic Flow Image Restoration using Blind Deconvolution Algorithm

DOI

10.2991/icemie-16.2016.13How to use a DOI?

Keywords

hybrid electric vehicle; energy management; blind deconvolution; image deblurring

Abstract

With the characteristics of multi-source, time-varying and fuzzy, traffic decision information needed by hybrid vehicle energy management system has become the major bottleneck to restrict hybrid electric vehicle's energy optimization. The first step to obtain valid traffic information is image processing of traffic flow. In practice, blurring and noise often has an adverse effect on the performance of image processing. Blind deconvolution algorithm was studied in the image restoration of hybrid electric vehicle traffic flow. Simulation results show the validity of proposed algorithm.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qingsheng Shi
AU  - Ke Lu
AU  - Shijie Zhang
PY  - 2016/04
DA  - 2016/04
TI  - Hybrid Electric Vehicle Traffic Flow Image Restoration using Blind Deconvolution Algorithm
BT  - Proceedings of the 2016 International Conference on Electrical, Mechanical and Industrial Engineering
PB  - Atlantis Press
SP  - 51
EP  - 53
SN  - 2352-5401
UR  - https://doi.org/10.2991/icemie-16.2016.13
DO  - 10.2991/icemie-16.2016.13
ID  - Shi2016/04
ER  -