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浏览/检索结果: 共4条，第1-4条 帮助 限定条件 内容类型：会议论文    专题：长春光学精密机械与物理研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Real-time motive vehicle detection with adaptive background updating model and HSV colour space (EI CONFERENCE) 会议论文 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：59/0  |  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 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：20/0  |  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 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.   Robust optimal control technology for four-wheel steering vehicle 会议论文 2007 Rong-Hu Z.; Guo-Ying C.; Guo-Qiangf W.; Hong-Guang J.; Tao C. 收藏  |  浏览/下载：5/0  |  提交时间：2013/03/28