Intelligent algorithm based on support vector data description for automotive collision avoidance system-Reference-Cited by-同舟云学术

Intelligent algorithm based on support vector data description for automotive collision avoidance system

Published:2016-10-12 Issue:1 Volume:18 Page:69-77
ISSN:1229-9138
Container-title:International Journal of Automotive Technology
language:en
Short-container-title:Int.J Automot. Technol.

Author:

Yang I. B.,Na S. G.,Heo H.

Publisher

Springer Science and Business Media LLC

Subject

Automotive Engineering

Link

http://link.springer.com/content/pdf/10.1007/s12239-017-0007-7.pdf

Reference21 articles.

1. Blum, J. and Eskandarian, A. (2002). Software architecture for adaptive collision avoidance systems. Int. J. Automotive Technology 3, 2, 79–88.

2. Brunson, S. J., Kyle, E. M., Phamdo, N. C. and Preziotti, G. R. (2002). Alert Algorithm Development Program: NHTSA Rear-end Collision Alert Algorithm (No. HS-809 526).

3. Butsuen, T., Niibe, T., Takagi, T., Yamamoto, Y. and Seni, H. (1994). Development of a rear-end collision avoidance system with automatic brake control. JSAE Review 15, 4, 335–340.

4. Duda, R. O., Hart, P. E. and Stork, D. G. (2012). Pattern Classification. John Wiley & Sons. New York, USA.

5. Han, I. (2013). Fuzzy estimation of vehicle speed in pedestrian collision accidents. Int. J. Automotive Technology 14, 3, 385–393.

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