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检索条件"机构=State Key Laboratory of Complex System Intelligent Control and Decision"
667 条 记 录,以下是511-520 订阅
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Multi-target Passive Location Based on the Algorithm of TDOA-Camberra
Multi-target Passive Location Based on the Algorithm of TDOA...
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第25届中国控制与决策会议
作者: Xin Xu Wenjie Chen Mingjun Jiang School of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision (Beijing Institute of Technology) Ministry of Education China North Vehicle Research Institute
An algorithm namely the TDOA-Camberra is proposed for the multi-target passive location in this paper. The algorithm uses the Camberra distance to associate the target data and do the optimal search, then uses the tim... 详细信息
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Pyramid histogram of oriented gradient and particles swarm optimization based SVM for vehicle detection
Pyramid histogram of oriented gradient and particles swarm o...
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2013 7th International Conference on Image and Graphics, ICIG 2013
作者: Wang, Hailuo Bo, Wang Sun, Li College of Automation Beijing Institute of Technology Beijing China Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing China
Vehicle Detection is an important part in intelligent transportation system (ITS) and driver assistance system. Considering vehicles have strong edges and lines in different orientation and scales, in this paper, we p... 详细信息
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Hand-eye servo and flexible control of an anthropomorphic arm
Hand-eye servo and flexible control of an anthropomorphic ar...
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2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013
作者: Ma, Gan Huang, Qiang Yu, Zhangguo Chen, Xuechao Meng, Libo Sultan, Malik Saad Zhang, Wen Liu, Yan IRI School of Mechatronical Engineering Beijing Institute of Technology Beijing China Key Laboratory of Biomimetic Robots and Systems Ministry of Education China Key Laboratory of Intelligent Control and Decision of Complex System China
One key technology for a humanoid robot is to sense the environment accurately and control the movement of the robot in realtime. This paper addresses this problem and focuses on the visual servoing control of an anth... 详细信息
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Extension of SGMF Using Gaussian Sum Approximation for Nonlinear/Non-Gaussian Model and Its Application in Multipath Estimation
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Acta Automatica Sinica 2013年 第1期39卷 1-10页
作者: Jie CHEN Lan CHENG Ming-Gang GAN Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing Institute of Technology Beijing 100081 China
The multipath estimation of global navigation satellite system (GNSS) signal is actually the state estimation of nonlinear/non-Gaussian systems. The extension of sliced Gaussian mixture filter (ESGMF) based on Gaussia... 详细信息
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New method of sparse visual saliency feature extraction and application in unmanned vehicle environment sensing
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Information Technology Journal 2013年 第20期12卷 5914-5921页
作者: Du, Ming-Fang Wang, Jun-Zheng Li, Jing Cao, Hai-Qing Key Laboratory of Complex System Intelligent Control Decision Beijing Institute of Technology Ministry of Education 100081 Beijing China
A new method based on Hessian matrix threshold of finding local low-level saliency features is proposed in this study after the standard local invariant feature extraction algorithm SRUF (Speeded Up Robust Features) i... 详细信息
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Object Tracking Algorithm of Adaptive Kernel-Bandwidth for Mean-Shift Based on Optical-flows
Object Tracking Algorithm of Adaptive Kernel-Bandwidth for M...
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第三十二届中国控制会议
作者: Qinlong He Junzheng Wang Jing Li Key Laboratory of Complex System Intelligent Control and Decision School of Automation Beijing Institute of Technology
To obtain and update the kernel-bandwidth,we present an adaptive bandwidth obtainment algorithm based on object contour extraction from optical-flow *** combination of modified mountain cluster approach and fast scann... 详细信息
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A multi-objective decomposition-based stochastic particle swarm optimization algorithm and its application to optimal design for linear motor
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Kongzhi Lilun Yu Yingyong/control Theory and Applications 2013年 第6期30卷 693-701页
作者: Wang, Guang-Hui Chen, Jie Cai, Tao Li, Peng School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing 100081 China
This article proposes a multi-objective decomposition stochastic particle swarm optimization (MDSPSO) algorithm. In MDSPSO, every particle has a weighted vector constantly. Then, an improved Tchebycheff decomposition ... 详细信息
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Distortion correction method in the high-precision and high-speed CCD measurement system
Distortion correction method in the high-precision and high-...
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Chinese control Conference (CCC)
作者: Jing Li Junzheng Wang Renjian Hao Key Laboratory of Complex System Intelligent Control and Decision School of Automation Beijing Institute of Technology 100081 China
In the high-precision and high-speed measurement system, the distortion of CCD pixes will give a greater margin of error to measurement results. According to the characteristic of noise leading to the image distortion... 详细信息
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Design and simulation of a hydraulic biped robot
Design and simulation of a hydraulic biped robot
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Chinese control Conference (CCC)
作者: Guangrong Chen Junzheng Wang Lipeng Wang Yudong He Key Laboratory of Complex System Intelligent Control and Decision School of Automation Beijing Institute of Technology 100081 China
Hydraulic biped robots have better mobility than conventional wheeled robots, and hydraulic actuator has some incomparable advantages, such as large torque and strong load capacity. In this paper, the biped structure ... 详细信息
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Differential Evolution Based Receding Horizon controlfor UAV Motion Planning in Dynamic Environments
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机器人 2013年 第1期 107-114页
作者: ZHANG Xing BAI YongQiang XIN Bin CHEN Jie School of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Decision and Cognitive Sciences Research Centre Manchester Business SchoolUniversity of Manchester
This paper presents online motion planning for UAV(unmanned aerial vehicle) in complex threat field,including both static threats and moving threats,which can be formulated as a dynamic constrained optimal control ***... 详细信息
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