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	Implantation of Earth's Atmospheric Ions Into the Nearside and Farside Lunar Soil: Implications to Geodynamo Evolution 期刊论文 OAI收割 GEOPHYSICAL RESEARCH LETTERS, 2020, 卷号: 47, 期号: 3, 页码: 7 作者: Wei, Y.; Zhong, J.; Hui, H.; Shi, Q.; Cui, J. \| 收藏 \| 浏览/下载：64/0 \| 提交时间：2020/07/03
	Real-time motive vehicle detection with adaptive background updating model and HSV colour space (EI CONFERENCE) 会议论文 OAI收割 4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, November 19, 2008 - November 21, 2008, Chengdu, China Rong-Hui Z.; Bai Y.; Hong-guang J.; Chen T. 收藏 \| 浏览/下载：67/0 \| 提交时间：2013/03/25 In the transportation monitor system we set up the area of interest (AOI) of the vehicle model and adjust the size of AOI dynamically in order to track vehicle accurately. The results of experiment show that motive vehicle detection by adopting digital image is one of key technologies. To detect motive vehicle accurately the arithmetic proposed in the paper can suppress shadow availably we establish an adaptive background updating model firstly. Noise is suppressed by using modality filter detect motive vehicle accurately and satisfy real-time motive vehicle tracking. 2009 SPIE. and we obtain binary image by using maximum entropy to choose dynamic adaptive threshold. Based on positive information of shadow and aspect feature of motive vehicle we adopt HSV colour space and double threshold to solve the problem of vehicle shadow. According to prediction result of Kalman filtering
	Dynamics simulation on control technology for 4WS vehicle steering performance (EI CONFERENCE) 会议论文 OAI收割 ISECS International Colloquium on Computing, Communication, Control, and Management, CCCM 2008, August 3, 2008 - August 4, 2008, Guangzhou, China Rong-Hui Z.; Hong-Guang J.; Tao C. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 By combining visual preview kinematics dynamic equation of steering system and 2-DOF steering dynamistic model of 4WS it can easily attenuate the change and uncertainty of model. 2008 IEEE. we establish the two degree of freedom model of four-wheel steering vehicle. And then the switching hyper plane is designed by applying the optimal control theory. During the change of parameter is little 4WS steering performance is carried out by adopting sliding variable structure controller. To improve the steering performance of 4WS especially state variables convergent velocity Kalman filter for 4WS is designed. And the robust optimal controller is designed for model and parameter is uncertainty. The simulation results show that the controller designed by the proposed method has good robustness
	Platform and steady kalman state observer design for intelligent vehicle based on visual guidance (EI CONFERENCE) 会议论文 OAI收割 2008 IEEE International Conference on Industrial Technology, IEEE ICIT 2008, April 21, 2008 - April 24, 2008, Chengdu, China Rong-hui Z.; Rong-ben W.; Feng Y.; Hong-guang J.; Tao C. 收藏 \| 浏览/下载：20/0 \| 提交时间：2013/03/25 State observer design is one of key technologies in research field of intelligent vehicle. Experiment platform visual guidance intelligent vehicle JLUIV-5 is establishedby Jilin University Intelligent Vehicle Group firstly. The system structure and assistant navigation control system and different image identify algorithms to recognize preview path and stops for variable illuminations are introduced. The dynamic response equation of steering control system was got by system identification experiment. By combined with the preview kinematics model and two-degree steering dynamic model of vehicle the steering kalman filter mathematics model based on preview kinematics for intelligent vehicle was obtained. And observer is designed by applying steady Kalman filter theory. The simulation and experiment results carry out in Jilin University Nanling Campus and Culture Center of Jilin Province show that the image identify algorithms and steady Kalmanstate observer designed by the proposed method has good adaptability for time-varying and parameters uncertain it can satisfy intelligent vehicle trace the path reliably during outdoor experiment. 2008 IEEE.