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Target classification method for constructing elementary probability assignment based on interval number similarity difference

A basic probability assignment and interval number technology, applied in the information field, can solve the problems of unreasonable difference measurement and low utilization of existing information, and achieve the effect of improving robustness, improving data utilization and reducing complexity.

Active Publication Date: 2021-07-02
HARBIN ENG UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to overcome the problems of unreasonable difference measurement and low utilization rate of existing information in the existing interval number-based model method, and provide a target classification method based on interval number similarity difference to construct basic probability assignment

Method used

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  • Target classification method for constructing elementary probability assignment based on interval number similarity difference
  • Target classification method for constructing elementary probability assignment based on interval number similarity difference
  • Target classification method for constructing elementary probability assignment based on interval number similarity difference

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Embodiment 1

[0049] In order to make the introduction of the technical solution of the present invention clearer, the following selects practical application examples and further describes the present invention in detail in conjunction with the flow chart of the accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0050] Example: Object grasping and recognition is one of the common tasks in robotic systems. In a certain working environment, a robot system needs to identify two targets labeled A and B (such as figure 2 ). There are currently four sensors that record relevant information: (1) visual camera, used to find the target; (2) ultrasonic rangefinder, used to measure the height of the object; (3) position sensor, used to measure the size of the grasped object; (4) The pressure sensor measures the quality of the grasped target. The measurement information of each sensor and the captured target parameters are shown in Table 1 and Table 2 res...

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Abstract

The invention belongs to the technical field of information, and particularly relates to a target classification method for constructing elementary probability assignment based on interval number similarity difference. According to the method, the problems of unreasonable difference measurement and low utilization rate of the existing information in the existing method based on the interval number model are solved. According to the method, the difference between the to-be-classified target and the model is calculated by adopting improved interval number similarity measurement, and a difference measurement result which is more reasonable than that of an existing method is obtained. According to the method, the modeling strategy of linear combination of the mean value and the standard deviation is adopted, the problem that the utilization rate of traditional interval number modeling data is low is solved, data information is fully utilized, and the robustness of the model is improved. The method is simple and easy to implement and convenient to operate, reduces complexity, and can be widely applied to the fields of industrial automation and the like.

Description

technical field [0001] The invention belongs to the field of information technology, and in particular relates to a target classification method for constructing basic probability assignments based on interval number similarity and difference. Background technique [0002] In the field of industrial automation production, the use of multi-sensor information fusion technology to realize automatic classification and capture of targets by mechanical devices can replace manual work in extreme environments to complete dangerous and boring tasks, reduce costs while improving production efficiency, and promote industrialization. . As an important tool for multi-source information fusion, Dempster-Shafer (D-S) evidence theory has unique advantages in processing and expressing uncertain information, and has been widely used in the fields of classification and recognition. The construction of Basic Probability Assignment (BPA) is the first step in the application of D-S evidence theo...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/214G06F18/2415
Inventor 赵玉新姜南邓雄陈力恒刘厂邢文赵廷常鑫达
Owner HARBIN ENG UNIV
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