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Intelligent route planning method and equipment

A route planning and intelligent technology, applied in biological neural network models, instruments, surveying and navigation, etc., can solve problems such as unable users, plan optimal routes, reduce user experience, etc., and achieve the effect of reducing journey delays

Active Publication Date: 2021-06-18
INST OF COMPUTING TECH CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] With the improvement of people's living standards, as the demand for map applications becomes more personalized and professional, the route planning based on maps needs to be further improved. For example, as the scale of scenic spots increases, the number of entrances and exits of scenic spots also increases. For users who are familiar with the layout of the scenic spot, they can query the layout information of the scenic spot online. When users want to go to multiple locations in the scenic spot or want to avoid crowding, they can only proceed according to the starting location set by the user. Navigation, and the user’s selection of the starting position is generally subjective and based on feeling. Therefore, the user is likely to turn back on multiple paths, which cannot plan the optimal path for the user and does not meet the actual needs of the user, thereby reducing the user’s to experience

Method used

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Embodiment Construction

[0042] The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, but not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present disclosure.

[0043] The terms "first," "second," "third," and "fourth" in the description and claims of the present disclosure and the accompanying drawings are used to distinguish different objects, rather than to describe a specific order. . Furthermore, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of step...

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Abstract

The present disclosure provides a method and device for intelligent route planning, wherein the method includes: acquiring a starting location and multiple destination locations; inputting the starting location and the multiple destination locations into a route planning neural network model, through deep learning After processing, the processor determines a target travel route, and the end point of the target travel route is one of the multiple destination locations. Through the route planning method of the present disclosure, the unified coordination of multiple destination locations can be realized through the deep learning processor, reducing unnecessary travel delays for users, or providing other conveniences for users.

Description

technical field [0001] The present disclosure relates to the technical field of artificial intelligence, in particular to an intelligent route planning method and an intelligent route planning device. Background technique [0002] With the improvement of people's living standards and the more personalized and specialized map application requirements, it is urgent to further improve the function of route planning based on the map. For users who are familiar with the layout of the scenic spot, they all inquire about the layout information of the scenic spot through the Internet. When the user wants to go to multiple locations in the scenic spot or wants to avoid crowding, he can only proceed according to the starting position independently set by the user. Navigation, and the user's choice of the starting position is generally a subjective choice based on feeling. Therefore, the user is likely to turn back on multiple paths, and the optimal path cannot be planned for the user,...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01C21/00G01C21/20G06K9/00G06N3/04
CPCG01C21/005G01C21/20G06V20/00G06N3/045
Inventor 支天周聖元
Owner INST OF COMPUTING TECH CHINESE ACAD OF SCI