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Study on Effectiveness of Active Safety Devices on Low Friction Road Using Driving Simulator
Yoshimichi Terashima,Yuya Ishizaki,Ryuzo Hayashi,Pongsathorn Raksincharoensak,Masao Nagai 한국자동차공학회 2008 한국자동차공학회 Symposium Vol.2008 No.9
In recent years, various active safety devices have been developed for the prevention of accidents such as rear-end collision and skidding. The representative device for the collision prevention is the forward collision warning system, and the one for the stability control is the direct yaw-moment control (DYC) system using distributed braking forces. In this study, we aim to evaluate the performance of these devices by experiments using driving simulator reconducting critical and dangerous driving situations. Regarding the forward collision warning system, we propose a new algorithm of warning system adapted to road condition, and conduct experiments to verify its effectiveness with the driving simulator. The results of the experiment indicate that the proposed system is more effective than the conventional system. Regarding the DYC, we develop a DYC system for the driving simulator to verify the effectiveness of DYC on low friction road, including human driver in the closed-loop evaluation. The DYC algorithm is designed by model-matching control method. From the results of the experiment of obstacle avoidance, it reveals that the DYC system is very effective to stabilize the vehicle on low friction road.
Modeling and Taylormade Training Method Using Neural Network for Specific Muscle of the Upper Limb
Kazuhiko Terashima,Takanori Miyoshi,Kenta Itokazu,Yuki Ueno,Daisuke Watanabe 제어로봇시스템학회 2014 제어로봇시스템학회 국제학술대회 논문집 Vol.2014 No.10
In this paper, we present modeling and taylormade training method using neural network for specific muscle of the upper limb. Validity of neural network model is demonstrated by comparing with the previous musculo - skeletal model in actual experiments. Applying the neural network model, an optimum path maximizing the activity of an agonist muscle and minimizing that of other muscles is designed by using an optimization method. The degree of muscles revitalization is evaluated by the amplitude of EMG signal, and the effectiveness of the proposed method is demonstrated.