In order to solve the problems of inaccurate positioning in current vehicle monitoring systems, an intelligent vehicle monitoring system based on mobile video and WebGIS (Web geographic information system) is proposed...
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In order to solve the problems of inaccurate positioning in current vehicle monitoring systems, an intelligent vehicle monitoring system based on mobile video and WebGIS (Web geographic information system) is proposed and designed. The system is composed of front-end equipment, system platform and client. The instant image information captured by vehicle mobile video and the GPS(global positioning system) positioning location information received by the terminal are transmitted from front-end to system platform via the GPRS(general packet radio service) mobile communications platform. Also, a highly compressed digital video and audio codec technology standard named H.264/AVC is employed to compress the real-time mobile video information and the Google Maps API is called to display the current position of vehicles on the electronic map. Furthermore, the spatial analysis capabilities of GIS plus the GPS information not only make tracking feasibly, but also provide aid in decision making. It is shown that the system can not only reproduce the video data timely and accurately, but also accurately position the mobile vehicles so as to provide a better service in monitoring, control, management, analysis, decision-making and command functions, which expands the application fields and development prospects of WebGIS and mobile video monitoring technology.
The memory state feedback control problem for a class of discrete-time systems with input delay and unknown state delay is addressed based on LMIs and Lyapunov-Krasovskii functional method. Under the action of our des...
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The memory state feedback control problem for a class of discrete-time systems with input delay and unknown state delay is addressed based on LMIs and Lyapunov-Krasovskii functional method. Under the action of our designed adaptive control law, the unknown time-delay parameter is included in memory state feedback controller. Using LMI technique, delay-dependent sufficient conditions for the existence of the feedback controller are obtained. Finally, the effectiveness of the proposed design method is demonstrated by a numerical example.
In order to improve the face recognition performance using Gabor wavelet, a multi-channel dimension reduction scheme (MDRS) employing PCA algorithm is proposed. In addition, the selection of scales and orientations in...
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Object tracking algorithm using modified Particle filter in low frame rate(LFR) video is proposed in this paper,which the object moving significantly and randomly between consecutive frames in the low frame rate ***,P...
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Object tracking algorithm using modified Particle filter in low frame rate(LFR) video is proposed in this paper,which the object moving significantly and randomly between consecutive frames in the low frame rate ***,Particle filtering use motion transitions to model the movement of the ***,in object tracking with low frame rate sequences,it is very difficult to model significant random jumps of *** key notion of our solution is that using the object detection and extraction to locate the tracked object,while not using the dynamical *** propagate the sample set around the detected regions,which the samples are assumed to be uniformly distributed in the neighborhoods of the detected *** is similar to the general particle filter to propagate *** we compute the likelihood between the target model and the candidate regions,which are based on color histogram *** extensive experiments show that the proposed algorithm performs robustly in a large variety of tracking scenarios.
A networked mobile robot in large networks such as Internet often operates under supervisory control and the discrete commands and decisions from the remote operators normally depend on the feedback scene information....
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A networked mobile robot in large networks such as Internet often operates under supervisory control and the discrete commands and decisions from the remote operators normally depend on the feedback scene information. Therefore it must be tolerate of the significant and unpredicted time latency that might mislead the robot for time and scene-dependent operations. A series of strategies are presented in this paper to decrease the latency impact and implement scene specified control of a Internet-based mobile robot. Time stamps are attached to each communication packet of scene video, audio and environment information from the robot to remote operator's computer for display, which then sends back control decision or command of the right time stamps with the scene when needed. By allocating a memory buffer for current display and recent status even including video frames the robot recalls the environment with the event time stamps as searching index, which helps to estimate the exact robot position or operation. Reverse position and motion are conducted according to estimation from the memorized information. The strategies have been introduced to improve a practical networked mobile robot control platform with experiment validity given in detail.
In this paper, a finite-time controller for bank-to-turn (BTT,) missiles isdesigned based on nonsingular terminal sliding mode (NTSM,) technique. Theproposed controller allows that roll rate and angle of attack can tr...
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In this paper, the problem of the stability for a class of stochastic systems with time-varying delay is investigated. By dividing the delay interval into multiple segments and choosing different weighting matrices in...
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In this paper, the problem of the stability for a class of stochastic systems with time-varying delay is investigated. By dividing the delay interval into multiple segments and choosing different weighting matrices in the new LyapunovKrasovskii functional, the delay-dependent sufficient criterion is derived in terms of linear matrix inequalities(LMIs). Neither model transformations nor bounding techniques for cross terms is employed, so the derived criterion is less conservative than the most existing results. Meanwhile, the computational complexity of the obtained stability conditions is reduced because less variables are involved. A numerical example is given to show the application of the proposed method.
This paper deals with the robust H filtering problem for discrete-time linear systems with polytopic *** from existing results,we assume that not only the Lyapunov functions are parameter-dependent in the whole polyto...
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This paper deals with the robust H filtering problem for discrete-time linear systems with polytopic *** from existing results,we assume that not only the Lyapunov functions are parameter-dependent in the whole polytope domain,but also the filter is dependent of the parameters which belong to a *** results contain no constant matrix variable for the entire polytope domain,which guarantees to provide extra free dimensions in the solution space for the H filtering problem and establish less conservative filter design *** addition,the robust H filter can be established by linear matrix inequalities(LMIs) which can be solved numerically by efficient convex optimization *** effectiveness of the proposed design methods is finally verified by a numerical example at the end of the paper.
This paper deals with the chaos synchronization problem for a class of nonlinear pendulum-like systems with multiple *** on the method of periodic Lyapunov functions,linear matrix inequality(LMI) formulations are esta...
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This paper deals with the chaos synchronization problem for a class of nonlinear pendulum-like systems with multiple *** on the method of periodic Lyapunov functions,linear matrix inequality(LMI) formulations are established to guarantee the stable synchronization of both master and slave pendulum-like systems by feedback control ***,a concrete application to phase-locked loop(PLL) shows the applicability and validity of the proposed approach.
A new simultaneous localization and mapping approach based on mixed map model using laser data and odometry information is presented in this paper. Mixed model composed of occupancy grids and line maps is utilized to ...
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A new simultaneous localization and mapping approach based on mixed map model using laser data and odometry information is presented in this paper. Mixed model composed of occupancy grids and line maps is utilized to represent environment maps. At the same time Hough transform is introduced to extract line features. Then robot localization and map building task is accomplished using line features matching and extended Kalman filter. Experimental results indicate the feasibility and validity of this approach.
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