讲座题目：基于双卡尔曼滤波器和神经网络的自治车辆跟踪控制系统
讲座时间：2017年6月12日（周一）13:00—14:30
讲座地点：宗瑞航海楼317会议室
主 讲 人：王颖博士
主讲人简介：
王颖博士目前是美国肯尼索州立大学（Kennesaw State University）机电工程系的副教授和终身教授。自2010年起,王颖博士一直担任国际杂志International Journal of Control and Intelligent Systems的副主编 (Associate Editor)，并且曾担任多个IEEE和ASME国际会议的程序委员会成员和分会场主席。王颖博士已经在国内外著名杂志和会议上发表50多篇学术论文，目前的主要研究方向：智能机器人、机器学习、先进控制系统和机电一体化。
讲座内容简介:
A vision-based autonomous vehicle tracking system is developed in this project. Especially, the follower vehicle is required to track the leader vehicle robustly which may change its heading and velocity randomly. A neural network controller is proposed to accept the inputs from the camera and laser scanner and make decisions for the follower vehicle. In order to increase the response speed of the follower vehicle, two Kalman filters are added into the control loop to predict locations of the visual target and distances between two vehicles. The experimental results are employed to validate the effectiveness and robustness of the proposed approach.