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Mathematical Problems in Engineering
Volume 2015, Article ID 515787, 14 pages
http://dx.doi.org/10.1155/2015/515787
Research Article

A Study on Maneuvering Obstacle Motion State Estimation for Intelligent Vehicle Using Adaptive Kalman Filter Based on Current Statistical Model

1State Key Laboratory of Automobile Simulation and Control, Jilin University, Changchun 130022, China
2Ford Motor Research & Engineering (Nanjing) Co., Ltd., Nanjing 210000, China

Received 2 May 2015; Revised 7 August 2015; Accepted 9 August 2015

Academic Editor: Raffaele Solimene

Copyright © 2015 Bao Han 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

Bao Han, Guan Xin, Jia Xin, and Liu Fan, “A Study on Maneuvering Obstacle Motion State Estimation for Intelligent Vehicle Using Adaptive Kalman Filter Based on Current Statistical Model,” Mathematical Problems in Engineering, vol. 2015, Article ID 515787, 14 pages, 2015. https://doi.org/10.1155/2015/515787.