Application of Two-Level Joint Information Fusion Model in Intelligent Vehicle

Authors

  • Yan Ting Lan North University of China, School of Computer Science and Control Engineering, Taiyuan, 030051,China
  • Jiinying Huang
  • Xiaodong Chen

DOI:

https://doi.org/10.3991/ijoe.v12i03.5154

Keywords:

information fusion, intelligent vehicle, neural network, D-S evidence theory

Abstract


This paper proposes a two-level joint information fusion model combining BP neural network and D-S evidence theory. The model of great practical value reduces target identification error probability by multiple features of the target information, shows good scalability with its two steps of information fusion model, and conveniently increases/reduces feature fusion information source according to different situations and different objects. The method used for intelligent vehicles has good flexibility and robustness in tracking and avoiding obstacle. The simulation and real vehicle tests have verified effectiveness of the method.

Author Biography

Yan Ting Lan, North University of China, School of Computer Science and Control Engineering, Taiyuan, 030051,China

North University of China, School of Computer Science and Control Engineering, Taiyuan, 030051,China

Downloads

Published

2016-03-31

How to Cite

Lan, Y. T., Huang, J., & Chen, X. (2016). Application of Two-Level Joint Information Fusion Model in Intelligent Vehicle. International Journal of Online and Biomedical Engineering (iJOE), 12(03), pp. 77–81. https://doi.org/10.3991/ijoe.v12i03.5154

Issue

Vol. 12 No. 03 (2016)

Section

Short Papers

License

The submitting author warrants that the submission is original and that she/he is the author of the submission together with the named co-authors; to the extend the submission incorporates text passages, figures, data or other material from the work of others, the submitting author has obtained any necessary permission.
Articles in this journal are published under the Creative Commons Attribution Licence (CC-BY What does this mean?). This is to get more legal certainty about what readers can do with published articles, and thus a wider dissemination and archiving, which in turn makes publishing with this journal more valuable for you, the authors.
By submitting an article the author grants to this journal the non-exclusive right to publish it. The author retains the copyright and the publishing rights for his article without any restrictions.