中国科学院机构知识库网格系统: 检索

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	Image-Based Visual Servoing for Position Alignment With Orthogonal Binocular Vision 期刊论文 OAI收割 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 10 作者: Hao, Tiantian; Xu, De; Qin, Fangbo \| 收藏 \| 浏览/下载：12/0 \| 提交时间：2023/11/17 Binocular vision image-based visual servoing (IBVS) control interaction matrix position alignment sensitivity for motion
	A VELOCITY COMPENSATION VISUAL SERVO METHOD FOR OCULOMOTOR CONTROL OF BIONIC EYES 期刊论文 OAI收割 INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION, 2018, 卷号: 33, 期号: 1, 页码: 33-44 作者: Zhu, Zheng; Zou, Wei; Wang, Qingbin; Zhang, Feng \| 收藏 \| 浏览/下载：46/0 \| 提交时间：2018/10/10 Image-based Visual Servo Target Velocity Compensation Bionic Eye Oculomotor Control
	Positioning Cylindrical Target Based on Three-Microscope Vision System 期刊论文 OAI收割 IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2014, 卷号: 19, 期号: 5, 页码: 1612-1624 作者: Zhang, Pengcheng C.; Xu, De; Zou, Wei; Wu, Baolin L. 收藏 \| 浏览/下载：48/0 \| 提交时间：2015/08/12 Image-based visual control microscope vision multisensor position-based visual control positioning
	A Vision-Based Self-Tuning Fuzzy Controller for Fillet Weld Seam Tracking 期刊论文 OAI收割 IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2011, 卷号: 16, 期号: 3, 页码: 540-550 作者: Fang, Zaojun; Xu, De; Tan, Min 收藏 \| 浏览/下载：61/0 \| 提交时间：2015/08/12 Fillet weld fuzzy controller image-based visual control seam tracking self-tuning structured light vision
	Visual seam tracking system for butt weld of thin plate 期刊论文 OAI收割 INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2010, 卷号: 49, 期号: 5-8, 页码: 519-526 作者: Fang, Zaojun; Xu, De; Tan, Min 收藏 \| 浏览/下载：57/0 \| 提交时间：2015/08/12 Image-based visual control Seam tracking Butt weld Structured light Feature extraction
	Driving and image enhancement for CCD sensing image system (EI CONFERENCE) 会议论文 OAI收割 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010, July 9, 2010 - July 11, 2010, Chengdu, China Zhang M.; Ren J. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 The paper designs a driving circuit of high sensitive wide dynamic for CCD sensing imaging system which adopts a Dalsa-made high resolution full-frame 33-mega pixels area CCD FTF5066M. Field Programmable Gate Array (FPGA) is used as the main device to accomplish the timing design of the circuits and power driver control of the sensor. By using the Correlated Double Sampling (CDS) technique the video noise is reduced and the SNR of the system is increased. The output rate of the imaging system designed with integrated chip can reach to 1.3 frames per second through bi-channel output. We use the histogram specification to adjust the brightness of the captured image. And then use the median filtering to suppress the noise. The traditional gray mean gradient (GMG) and the objective evaluation method based on Human Visual System (HVS) used to verify the effect of image enhancement. 2010 IEEE.
	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.