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980results about How to "Improve tracking performance" patented technology

A camera control apparatus and method

A camera control apparats (10) comprises a control device for controlling the zoom, pan and tilt conditions of a camera. Data relating to the positioning of the camera in pan, tilt and zoom is transmitted to the control means and the control means converts the data into a value in a co-ordinate system, for example (3D) polar co-ordinates. The camera may be controlled and directed by pointing a pointer to an area in the image displayed whereby in response to selection of a point on a display the control means pans and / or tilts the camera so that the image viewed by the camera is centred substantially on the point selected. Still further, an area of the screen can be selected, for example by tracking and dropping a box using a mouse pointer on a computer screen and the control means is arranged to pan and tilt the camera so the image is centred on the centre of the selected area and zoomed so that the selected area becomes substantially the entire image viewed by the camera. In a further aspect a multiple camera control apparatus is provided in which a plurality of cameras may be controlled using the aforesaid control apparatus and the multiple camera control apparatus includes data relating to the location of the cameras with reference to the site plan so that multiple cameras can be co-ordinated to provide better image data, blind spot illumination and 'hand over' functionality. Still further a security apparatus is provided in which a camera views an image and the security apparatus includes image processing means and data relating to the site viewed by the camera so as to determine the location and size of an object viewed.
Owner:尼尔・J・史蒂文森 +1

Multi-platform target tracking and distribution interactive simulation system

The invention relates to a multi-platform target tracking and distributed interactive simulation system in the technical field of simulation. The system comprises a target generation module, an aerial sensing platform, an emergency processing platform, a ground control center platform and an HLA distributed interactive simulation module, wherein, the target generation module generates a system tracking object at random; the aerial sensing platform comprises various detecting devices for performing fusion to the detected information and then transmitting the information to the ground control center platform; the ground control center platform integrates all the field information, evaluates the entire field situation and promptly makes an emergency decision; the emergency processing platform receives the information and the commands and realizes target tracking by using airborne equipment; and the HLA distributed interactive simulation module enables the modules to establish an HLA distributed system structure through a distributed network and realizes the multi-information network interconnection. The invention has the advantages of flexibility and extendability, can improve the tracking effect, enhance the visibility of scene demonstration and be widely applied to the fields such as public safety, disaster relief assistance and the like.
Owner:SHANGHAI JIAO TONG UNIV

Vehicle multi-objective coordinated self-adapting cruise control method

InactiveCN101417655AEnhance the feeling of following the carGood following experienceLoop controlDriver/operator
The invention relates to a multi-objective coordination-typed self-adaptive cruise control method for a vehicle, comprising the following steps: 1) according to the detail requirements of the multi-objective coordination-typed self-adaptive cruise control for a vehicle, the performance indicators and I/O restriction of MTC ACC are designed, and multi-objective optimization control problem is established; and 2) MTC ACC control law rolling time domain is used for solving the objective optimal control problem, and the optimal open-loop control quantity is used for carrying out feedback and achieving closed-loop control. Based on the steps, the control method comprises the following four parts of contents: 1. the modeling for the longitudinal dynamics of a traction system; 2. the performance indicators of MTC ACC; 3. the I/O restriction design of MTC ACC; and 4. solution by the MTC ACC control law rolling time domain. By constructing multi-objective optimization problem, the control method not only solves the contradiction among the fuel economy, the track performance and the feeling of the driver, moreover, on the same simulation conditions, compared with the LQ ACC control, the control method simultaneously reduces the fuel consumption and vehicle tracking error of the vehicle, and achieves the multi-objective coordinating control function.
Owner:TSINGHUA UNIV

Self-adaptive tracking loop and implementation method

The invention discloses a self-adaptive tracking loop, which comprises an unscented Kalman filter (UKF), an observation noise variance matrix detection module, a fuzzy inference system, an unscented transformation (UT) scale factor regulation module, a state compensator, a carrier wave numerical controlled oscillator (NCO), scale factors, a code NCO, an integration and zero-clearing module, a code loop phase discriminator and a second order code loop filter, and additionally discloses an implementation method for the self-adaptive tracking loop. The implementation method comprises a step 1 ofsignal correlation, integration and zero clearing; a step 2 of code phase tracking; a step 3 of UKF modeling; a step 4 of observation noise variance matrix estimation; a step 5 of process noise variance matrix estimation; a step 6 of UT scale factor regulation; a step 7 of state estimation deviation compensation; and a step 8 of assistance of the carrier wave NCO in the code NCO. According to theself-adaptive tracking loop, the UKF, the observation noise variance matrix detection module and the fuzzy inference system are designed in the carrier tracking loop, so not only can a contradiction between thermal noise vibration in the tracking loop and a dynamic stress error be solved, but a process noise variance matrix and an observation noise variance matrix can be regulated in a self-adaptive manner according to changes of the external environment, and thereby the self-adaptive ability of the tracking loop under complex changeable environments of high dynamic, strong interference, and the like is effectively improved.
Owner:BEIHANG UNIV

Method for controlling output feedback of motor position servo system

The invention discloses a method for controlling output feedback of a motor position servo system. The method comprises the following steps that a mathematic model of the motor position servo system is established; an extended state observer is designed, and the state of the system and interference in the mathematic model are observed; a second-order low-pass filter is designed so that an error system of the motor position servo system can be established, and an output feedback controller is designed according to the error system; stability certification is conducted on the motor position servo system according to the Lyapunov stability theory, and a result of the global asymptotic stability of the system is obtained according to the Barbalat lemma. According to the method for controlling output feedback of the motor position servo system, considering uncertainty such as external interference, the extended state observer conducts estimation, compensation is conducted during design of a controller, and therefore the robustness of the actual motor position servo system to external interference is improved; in this way, the problems of a high-frequency dynamic condition, measurement noise and the like caused by high-gain feedback are greatly relieved, so that the shadowing property of the system is improved, and the motor position servo system can be applied to practical engineering more conveniently.
Owner:NANJING UNIV OF SCI & TECH

Visual sense tracking method based on target characteristic and bayesian filtering

The invention discloses a visual tracking method based on target characteristics and bayes filtration. The method comprises the following steps: a system model and an observation model are established according to the actual motion of a target; the color and the gradient of the target are calculated, similarity function is constructed, and the current observed value of the target is obtained by a particle filter; the state average of particulate matter and the covariance are processed by using karman filtration, thus generating new gauss distribution, then new particulate matter is sampled according the gauss distribution generated, thus calculating weight and output; finally, the particulate matter is sampled again; meanwhile, a partition detection method for the target and the corresponding processing algorithm of shading and non shading are proposed; the visual tracking process is finished. Compared with similar algorithm, the method realizes information complementation between the characteristics by the blending of multi-information, therefore, the target is not easy to be affected by external environmental factors such as light, etc. By adopting the combination of particle filtration and the karman filtration, the tracking accuracy of the whole method is higher, thus improving the tracking performance and being adapted to various complicated environments.
Owner:ZHEJIANG UNIV
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