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	Intensity/Inertial Integration-Aided Feature Tracking on Event Cameras 期刊论文 OAI收割 REMOTE SENSING, 2022, 卷号: 14, 期号: 8, 页码: 15 作者: Li, Zeyu; Liu, Yong; Zhou, Feng; Li, Xiaowan \| 收藏 \| 浏览/下载：29/0 \| 提交时间：2022/08/15 event camera feature tracking intensity inertial integration
	A Point-Line VIO System With Novel Feature Hybrids and With Novel Line Predicting-Matching 期刊论文 OAI收割 IEEE ROBOTICS AND AUTOMATION LETTERS, 2021, 卷号: 6 作者: Wei, Hao \| 收藏 \| 浏览/下载：79/0 \| 提交时间：2021/11/01 Simultaneous localization and mapping Feature extraction Three-dimensional displays Tracking Jacobian matrices Motion segmentation Cameras Visual-Inertial SLAM SLAM
	A Point-Line VIO System With Novel Feature Hybrids and With Novel Line Predicting-Matching 期刊论文 OAI收割 IEEE ROBOTICS AND AUTOMATION LETTERS, 2021, 卷号: 6, 期号: 4, 页码: 8681-8688 作者: Wei, Hao; Tang, Fulin; Xu, Zewen; Zhang, Chaofan; Wu, Yihong \| 收藏 \| 浏览/下载：78/0 \| 提交时间：2021/11/03 Simultaneous localization and mapping Feature extraction Three-dimensional displays Tracking Jacobian matrices Motion segmentation Cameras Visual-Inertial SLAM SLAM
	模拟束靶耦合实验平台建设及关键技术研究学位论文 OAI收割工程硕士, 中国科学院自动化研究所: 中国科学院大学, 2013 姚锴收藏 \| 浏览/下载：57/0 \| 提交时间：2015/09/02 惯性约束聚变束靶耦合霍夫变换 RANSAC 跟踪 Qt Inertial Confinement Fusion Beam-Target Coupling Hough Transform RANSAC Tracking Qt
	人体运动跟踪传感器设计与标定技术研究学位论文 OAI收割工程硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2012 李文明收藏 \| 浏览/下载：101/0 \| 提交时间：2015/09/02 惯性跟踪虚拟现实人机交互人体运动跟踪姿态融合 inertial tracking virtual reality gesture fusion human computer interaction human motion tracking
	手臂运动感知和交互平台研究学位论文 OAI收割工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2011 叶龙茂收藏 \| 浏览/下载：39/0 \| 提交时间：2015/09/02 运动感知力觉交互手臂建模碰撞检测惯性跟踪 motion perception force interaction arm modeling collision detection inertial tracking
	基于微惯性技术的人体运动跟踪关键技术研究学位论文 OAI收割工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2011 弭鹏收藏 \| 浏览/下载：78/0 \| 提交时间：2015/09/02 惯性跟踪滤波算法人机交互微惯性技术 MEMS 传感器标定 inertial tracking filtering algorithm human computer interaction MEMS sensor calibration
	The ship-borne infrared searching and tracking system based on the inertial platform (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China 作者: Li Y.; Zhang H.; Zhang H.; Li Y.; Li Y. 收藏 \| 浏览/下载：38/0 \| 提交时间：2013/03/25 As a result of the radar system got interferenced or in the state of half silent it can cause the guided precision drop badly In the modern electronic warfare therefore it can lead to the equipment depended on electronic guidance cannot strike the incoming goals exactly. It will need to rely on optoelectronic devices to make up for its shortcomings but when interference is in the process of radar leading especially the electro-optical equipment is influenced by the roll pitch and yaw rotation it can affect the target appear outside of the field of optoelectronic devices for a long time so the infrared optoelectronic equipment can not exert the superiority and also it cannot get across weapon-control system "reverse bring" missile against incoming goals. So the conventional ship-borne infrared system unable to track the target of incoming quickly the ability of optoelectronic rivalry declines heavily.Here we provide a brand new controlling algorithm for the semi-automatic searching and infrared tracking based on inertial navigation platform. Now it is applying well in our XX infrared optoelectronic searching and tracking system. The algorithm is mainly divided into two steps: The artificial mode turns into auto-searching when the deviation of guide exceeds the current scene under the course of leading for radar.When the threshold value of the image picked-up is satisfied by the contrast of the target in the searching scene the speed computed by using the CA model Least Square Method feeds back to the speed loop. And then combine the infrared information to accomplish the closed-loop control of the infrared optoelectronic system tracking. The algorithm is verified via experiment. Target capturing distance is 22.3 kilometers on the great lead deviation by using the algorithm. But without using the algorithm the capturing distance declines 12 kilometers. The algorithm advances the ability of infrared optoelectronic rivalry and declines the target capturing time by using semi-automatic searching and reliable capturing-tracking when the lead deviation of the radar is great. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).