Police service multi-unmanned aerial vehicle target searching method based on normal distribution probability graph

A multi-drone, normal distribution technology, applied in the field of target search, can solve problems such as low search efficiency and failure to search for targets, and achieve the effects of improving search efficiency, scientific generalization ability, and improving efficiency

Active Publication Date: 2021-06-04
辽宁警察学院
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this search method has randomness and blindness, especially in the case of determining the suspicious position of the target. If the target search is still carried out according to the probability map of random distribution probability, the search efficiency will be low, and sometimes the target cannot even be searched. The problem

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Police service multi-unmanned aerial vehicle target searching method based on normal distribution probability graph
  • Police service multi-unmanned aerial vehicle target searching method based on normal distribution probability graph
  • Police service multi-unmanned aerial vehicle target searching method based on normal distribution probability graph

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0087] The first way:

[0088] Calculate the probability values ​​of each grid in turn according to the joint probability density formula of normal distribution; among them, the joint probability density formula of normal distribution is as follows:

[0089] Among them, x and y are the abscissa and ordinate of the grid respectively, μ x and μ y is the grid coordinate (x, y) of the suspicious position of the target, σ x and σ y take 2;

[0090] For example, when a suspected target suspect is found in the grid (5, 5), the center position of the normal distribution is selected as (5, 5), μ x and μ y The value is 5,

[0091] P * (1,1)=1 / 8π*exp{-1 / 2(4+4)}=0.0007;

[0092] P * (1,2) = 0.0017;

[0093] P * (5,5)=1 / 8π=0.0398;

[0094] The probability values ​​of each grid are calculated in turn, and the obtained normal distribution probability map is as follows: Figure 5 shown;

[0095] Then calculate the sum of all grid probabilities P t ; via P k (i,j)=P * k (i,...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a police service multi-unmanned aerial vehicle target searching method based on a normal distribution probability graph, multiple unmanned aerial vehicles comprise a master unmanned aerial vehicle and a plurality of slave unmanned aerial vehicles. The method comprises the following steps: gridding a specified region, and distributing probability for each grid according to prior information including pre-defined key searching positions to obtain an initial probability graph; the main unmanned aerial vehicle receives information when each slave unmanned aerial vehicle arrives at the current position; updating the initial probability graph based on the information to obtain a probability graph; controlling each slave unmanned aerial vehicle to perform target search based on a probability graph and a particle swarm algorithm; when a target suspicious position is received, assigning a value to the probability graph according to normal probability distribution, and setting a grid where the target suspicious position is located as a normal distribution center to obtain a normal distribution probability graph; and on the basis of the normal distribution probability graph, controlling each slave unmanned aerial vehicle to perform target search according to a particle swarm algorithm. According to the method provided by the invention, the search efficiency is improved, and the target suspect can be effectively searched.

Description

technical field [0001] The invention relates to the technical field of target search, in particular to a police multi-UAV target search method based on a normal distribution probability map. Background technique [0002] With the rapid development of science and technology, many technological products have appeared, such as drones, which can not only be used in rescue and shooting, but also in police security, because police security drones are equipped with cameras , and then police officers can use the camera to carry out police prevention and target search and tracking, which is convenient for monitoring suspicious personnel and arresting criminal suspects. [0003] At present, when multi-UAVs perform target search, the probability map based on the random distribution of target existence probability values. However, this search method has randomness and blindness, especially in the case of determining the suspicious position of the target. If the target search is still c...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/18G06N3/00G06K9/62G06K9/00
CPCG06F17/18G06N3/006G06V20/13G06V2201/07G06F18/24155
Inventor 邹存名岳伟单慧
Owner 辽宁警察学院
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap