Two-dimensional space visual sensor layout optimization method based on multi-target constraint
A visual sensor, two-dimensional space technology, applied in the direction of TV, color TV, closed-circuit TV system, etc., can solve the problems of difficult deployment of visual sensors, small positioning error, and large coverage.
Active Publication Date: 2022-04-12
BEIHANG UNIV
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[0003]
The invention provides a two-dimensional spatial visual sensor layout optimization method based on multi-objective constraints, which simultaneously considers the requirements of large coverage of visual sensor networks and small positioning errors, and solves the problem of difficult deployment of visual sensors in wide-area space
This method starts from a simple two-dimensional space and is suitable for the layout optimization problems of most direction sensors. It can solve a wide range of layout problems without adding additional complicated measurement tools. It is convenient and fast, and has a strong impact on actual engineering deployment. Guiding significance
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[0058] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0059] The present invention proposes a two-dimensional spatial visual sensor layout optimization method based on multi-objective constraints, which is an offline method. Before the actual deployment of visual sensors, a reasonable layout design for the sensors of the entire visual network is required. The implementation steps of the entire offline optimization process are as follows:
[0060] (1) Establishment of visual sensor network model
[0061] The main purpose of this part is to abstract the real camera and physical space into a mathematical model, describe the sensor layout optimization problem in mathematical language, and lay the foundation for establishing the optimization objective function, so as to analyze and solve the problem quantitatively. The models involved include perceptual model, spatial model, coverage...
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The invention discloses a two-dimensional space visual sensor layout optimization method based on multi-target constraint, and the method specifically comprises the following steps: 1, building a visual sensing network model which comprises a perception model, a space model, a coverage model and a reconstruction error model; 2, defining a coverage rate and reconstruction quality; and step 3, carrying out overall design multi-objective optimization. According to the two-dimensional space visual sensor layout optimization method based on the multi-target constraint, a multi-target optimization algorithm can be designed in a given two-dimensional space according to target requirements of large coverage range and small reconstruction error, a reasonable camera layout scheme is provided, the actual installation and debugging of the camera are guided, and the real-time performance of the camera is improved. Manpower and material resources can be greatly saved, network deployment is accelerated, the problem of sensor layout in any shape space can be solved through the dimension reduction search method, the number of optimization variables can be reduced, and the optimization speed is increased.
Description
technical field [0001] The invention relates to a two-dimensional space visual sensor layout optimization method based on multi-objective constraints, belonging to the field of visual sensor layout optimization. Background technique [0002] The 3D visual tracking technology based on visual sensors has been widely used in many fields, such as autonomous navigation, human-computer interaction, aerial refueling, augmented / virtual reality, etc. Take visual navigation as an example: Compared with traditional methods such as global positioning system GPS and inertial navigation system, vision-based positioning methods have high precision, rich information, strong anti-interference ability, and are suitable for indoor environments. In recent years, they have attracted widespread attention at home and abroad. How to deploy visual sensors is one of the important issues in the application of visual sensor networks, which directly affects the coverage, connectivity and energy efficien...
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IPC IPC(8): G06F30/18H04N7/18H04N5/247H04N23/90
CPCY02T10/40
Inventor 全权邓恒吴楠蔡开元
Owner BEIHANG UNIV