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	A mathematical model for the prediction of speeding with its validation 期刊论文 OAI收割 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2013, 卷号: 14, 期号: 2, 页码: 828-836 作者: Guozhen Zhao; Changxu Wu; Chunming Qiao; Wu, Changxu; Zhao, Guozhen \| 收藏 \| 浏览/下载：22/0 \| 提交时间：2020/08/27 In-vehicle intelligent system mathematical model speeding speeding prediction
	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：21/0 \| 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.
	Study on integrated vehicle navigation system of "Beidou" double-star/DR (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Devices and Instruments, August 21, 2005 - August 26, 2005, Changchun, China 作者: Liu J.; Liu J.; Liu J.; Liu H.; Liu H. 收藏 \| 浏览/下载：29/0 \| 提交时间：2013/03/25 Vehicle navigation is the corn element of Intelligent Transport System. The integrated system of "Beidou" Double-star/DR is studied in this paper according to the present state of vehicle navigation in our country. "Beidou" Double-star navigation position system is one regional satellite position system built up by our country which can provide rapidly not only highly precision position and brevity telegram service. However when the vehicles go around the tall buildings high mountain area wayside trees and in the tunnels all signal may not be received. If the satellite navigation position system is used only the precision will be reduced. Therefore this paper proposes a nonlinear self-adaptive Kalman filter model and its algorithm for a Double-star/DR integrated navigation system in land vehicles and verifies effectively the algorithm and scheme through the means of simulation. Next this paper introduces map match approach. The roads are segmented and character information is brought out. Then proper search rules and map match algorithm are adopted. According to the current vehicle position information that Double-Star/DR system provides the nearest road can be found in the map database. The vehicle position will be matched and displayed on the road. The result of the experiment shows that the Double-star/DR integrated algorithm and map match can improve reliability and the precision of vehicle navigation system efficiently.