Development of dynamic VR driving platform and its application on driver's cognitive state estimation

• Main Author: 黃騰毅
• Other Authors: 林進燈
• Format: Others
• Language: zh-TW
• Published: 2004
• Online Access: http://ndltd.ncl.edu.tw/handle/y2hxgn

碩士 === 國立交通大學 === 電機與控制工程系所 === 92 === During recent years, public security has become an important issue to societies. Accidents caused by lack of alertness and awareness have a high fatality rate especially in monotonous driving environments, where people can’t always keep continuous alertness and attention. Many researches have reported the training and censoring of operators’ behavior relying on the actual machines, which has high demands in space, time, cost, and safety. To tackle the above dilemma, a virtual-reality (VR) based motion platform is suitable to provide various dynamic driving environments and to reduce the development cost. In this paper, the development of the VR scene and the dynamic model of vehicle are discussed. We efficiently use the WTK (World ToolKit, which is a graphic library and have some limitation) to develop our VR scenes, and we also add some dynamic models to improve the reality of simulation, such as cornering equations, acceleration of engine, and damping condition of suspension. We finally design a highway driving environment by using VR-based motion platform and propose a non-invasive EEG measurement system to demonstrate the feasibility of finding the relationship between operators’ cognitive states and responses to task. Experimental results show that our proposed VR-based simulator can successfully mimicking actual driving situation and the developed EEG-based brain computer interface can achieve a satisfactory result.