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Technical Paper

Development of a Driver's Intention Determining Algorithm for a Steering System Based Collision Avoidance System

2013-03-25
2013-01-0054
In this paper, we suggest a new control algorithm for driver's intention judgment for collision avoidance using a steering system to improve the emergency steering system performance. Most of the collision avoidance systems proposed by previous works relied only on the braking systems. Recently the automotive industry began to consider ways to avoid collisions using the steering system. It is not hard to imagine that any steering-assisted collision avoidance algorithm must judge a driver's intention for lane change before any attempt at longitudinal avoidance is made. To improve the accuracy of driver's intention judgment and thus the performance of the emergency steering system, we developed a new algorithm based on on-center handling characteristics generated by the steering system. The performance of the proposed driver's intention algorithm was validated in the test of real vehicles as well as in the SILS environment.
Technical Paper

Characteristics of the Luxury Sound Quality of a Premium Class Passenger Car

2009-05-19
2009-01-2183
Luxury sound is one of the most important sound qualities in a premium passenger car. Previous work has shown that, because of the effects of many different interior sounds, it is difficult to evaluate the luxury sound objectively by using only the A-weighted sound pressure level. In this paper, the characteristics of such sound were first investigated by a systematic approach and a new objective evaluation method for luxury sound-the luxury sound quality index--which was developed by the systematic combination of the seven major interior sound quality indexes based on path analysis. The seven major sounds inside a passenger car were selected by a basic investigation evaluated by the members of a luxury automotive club. Seven major interior sound quality indexes were developed by using sound metrics, which are the psychoacoustic parameters, and the multiple regression method used for the modeling of the correlation between objective and subjective evaluation.
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