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Intelligent moving path planning method based on incomplete information condition

A moving path, intelligent technology, applied in road network navigator, non-electric variable control, two-dimensional position/channel control and other directions, can solve the problems of unable path planning, unable to detect surrounding environment, unable to complete autonomous movement, etc. Mature technology, simple operation effect

Inactive Publication Date: 2017-05-31
智易行科技(武汉)有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In the existing smart devices with mobile functions such as smart cars, most of them have a power system to support their own movement; It is also necessary for the user to detect the surrounding environment to achieve a preliminary understanding, in order to deal with the surrounding environment and the impact of things on its actions
When the information situation is not fully understood, smart devices with mobile functions cannot detect the surrounding environment by themselves, let alone reasonably plan the path autonomously, and thus cannot complete the task of autonomous movement

Method used

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  • Intelligent moving path planning method based on incomplete information condition
  • Intelligent moving path planning method based on incomplete information condition
  • Intelligent moving path planning method based on incomplete information condition

Examples

Experimental program
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Embodiment 1

[0048] Such as figure 1 As shown, a method of intelligent mobile path planning based on incomplete information, the method includes the following steps: Step (1): Obtain real-time position data and terminal position data of itself, and obtain a straight line movement path; Step (2) : Obtain the video image of the surrounding environment, and obtain the relative distance data between itself and the surrounding objects according to the video image; Step (3): Obtain the infrared image of the surrounding environment, and distinguish the living and non-living objects in the surrounding environment according to the infrared image ; Step (4): Use the ultrasonic sensor to detect the living body in the surrounding environment, and obtain the motion state of the life body; Step (5): Combine the relative distance data, the motion state of the life body, its own motion state, its real-time position data and End point location data, adaptive planning of the path, and adjustment of its own ...

Embodiment 2

[0055] Such as figure 2 , 3 As shown, this embodiment provides a method for intelligent mobile path planning based on incomplete information. The difference from Embodiment 1 is that step (5) specifically includes: step (501): combining relative distance data, living body Motion state, own motion state, own real-time position data and terminal position data, use SLAM technology for real-time positioning and map construction, and obtain a virtual map. As a real-time environment display method, it is used as a means of real-time environment display; step (502): according to the virtual map, carry out adaptive planning on the path, and adjust the direction of movement; establish a virtual map, a On the one hand, it can control the situation of the surrounding environment in real time and on the other hand, it can transmit the virtual map to other devices for remote monitoring by other personnel.

[0056] In this embodiment, step (502) specifically includes: step (5021): using ...

Embodiment 3

[0058] Such as Figure 4 , 5 As shown, this embodiment provides a method for intelligent mobile path planning based on incomplete information. The difference from Embodiments 1 and 2 is that step (2) specifically includes: Step (201): Acquire video of the surrounding environment Image; Step (202): Carry out impurity removal and filtering process to the video image, and perform analog-to-digital conversion to obtain clear video image data; Step (203): Obtain the relative distance between itself and surrounding objects according to the clear video image data Data; the acquired video image, the video image data is an analog signal, which is first processed by impurity removal and filtering to obtain relatively clear video image data. There are certain difficulties and obstacles in the data transmission and processing of the analog signal, so the impurity removal filter is then processed. The processed video image data is transformed into a digital signal through analog-to-digita...

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Abstract

The invention discloses an intelligent moving path planning method based on an incomplete information condition. The intelligent moving path planning method comprises the following steps: step (1), obtaining real-time position data of a body and final position data and obtaining a linear moving path; step (2), obtaining a video image of the surrounding, and obtaining relative distance data between the body and a surrounding object according to the video image; step (3), obtaining an infrared image of the surrounding, and distinguishing a living body and a non-living body in the surrounding according to the infrared image; step (4), detecting the living body in the surrounding by utilizing an ultrasonic sensor, so as to obtain a movement state of the living body; and step (5), combining the relative distance data, the movement state of the living body, a body movement state, the real-time position data of the body and the final position data, carrying out adaptive planning on the path and adjusting the movement direction of the body. By adopting the intelligent moving path planning method, information can be grasped in real time and accurately acquired; the path planning is carried out in real time and the accuracy is high.

Description

technical field [0001] The invention relates to the technical field of mobile path planning, in particular to an intelligent mobile path planning method based on incomplete information. Background technique [0002] In the existing smart devices with mobile functions such as smart cars, most of them have a power system to support their own movement; It is also necessary for the user to detect the surrounding environment to achieve a preliminary understanding, in order to deal with the surrounding environment and the impact of things on its actions. When the information situation is not fully understood, smart devices with mobile functions cannot detect the surrounding environment by themselves, let alone reasonably plan the path autonomously, and thus cannot complete the task of autonomous movement. Contents of the invention [0003] In view of the deficiencies in the above-mentioned prior art, the object of the present invention is to provide a method for intelligent mob...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C21/20G01C21/34G05D1/02G01S19/48
CPCG01C21/20G01C21/3415G01S19/48G05D1/0219G05D1/0242G05D1/0246G05D1/0255
Inventor 张俊丽熊勇
Owner 智易行科技(武汉)有限公司
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