| INTELLIGENT ALGORITHM BASED ON SUPPORT VECTOR DATA DESCRIPTION FOR AUTOMOTIVE COLLISION AVOIDANCE SYSTEM |
| I. B. YANG1,2, S. G. NA2, H. HEO2,* |
1Department of Smart Automobile, Soonchunhyang University, Chungnam 31538, Korea
2Department of Control and Instrumentation Engineering, Korea University, Seoul 02841, Korea |
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Received: October 10, 2014; Revised: June 22, 2015 Accepted: July 9, 2016. |
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| ABSTRACT |
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This paper presents a theoretical expansion of a new intelligent algorithm called extended support vector data description (E-SVDD) for the analysis and control of dynamic groups to realize macroscopic and microscopic behavior prediction in an automotive collision avoidance system. The time to collision concept was extracted as a key parameter via system modeling and used with the E-SVDD algorithm to set up the relevant generalized theoretical system. A new method, along with its practical application, to predict the behavior of micro- and macro-systems in real time and improve the control logic for collision avoidance was realized. A numerical simulation based on actual driving data was performed to compare the proposed collision avoidance logic and the conventional one. The results confirmed the improved performance and effectiveness of the proposed control logic. |
| Key Words:
E-SVDD (Extended-Support Vector Data Description), Automotive collision avoidance system, TTC (Time to Collision), Automotive control logic |
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Corresponding Author.
H. HEO , Email. 
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