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A Method for Extracting Temporal-Spatial Relationships from Indoor Semantic Maps

A technology of space-time relationship and semantic map, applied in the creation of semantic tools, geographic information database, natural language data processing, etc., can solve the problem of high computational complexity

Active Publication Date: 2021-07-20
GUILIN UNIV OF ELECTRONIC TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Compared with outdoor scenes, the recognition of indoor spaces requires higher accuracy and higher computational complexity

Method used

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  • A Method for Extracting Temporal-Spatial Relationships from Indoor Semantic Maps
  • A Method for Extracting Temporal-Spatial Relationships from Indoor Semantic Maps
  • A Method for Extracting Temporal-Spatial Relationships from Indoor Semantic Maps

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Embodiment Construction

[0055]The content of the present invention will be further described below in conjunction with the accompanying drawings, but the present invention is not limited.

[0056] refer to figure 1 , the present invention a kind of extraction method of indoor semantic map temporal-spatial relationship, comprises the following steps:

[0057] (1) Obtain the original indoor spatio-temporal data;

[0058] The terminal equipment is combined with the network, and the wireless sensor network is used to collect data. According to service requirements, information collection points are arranged in the target service area to obtain data. Indoor spaces can be floors, rooms, offices, shopping malls, etc. Spatial entities can be entities in the scene such as tables and chairs, electrical appliances, pedestrians, etc. Time entities can be time intervals, time moments, etc.

[0059] Specifically, indoor office areas can be used as an example, which can be collected by ZigBee network equipment an...

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Abstract

The invention discloses a method for extracting temporal-spatial relationship of an indoor semantic map, comprising the following steps: obtaining indoor original temporal-spatial data; screening of the temporal-spatial data; semantic representation of the temporal-spatial relationship; fusing the temporal-spatial data; and updating a semantic entity library. The present invention extracts the temporal-spatial relationship between spatial entities on the basis of the constructed indoor semantic map, and adds the semantic temporal-spatial relationship to the semantic map, which is the innovation of the present invention. Through the correlation processing of the semantic space-time relationship, the positional relationship between the targets can be measured in the indoor space, such as up, down, left, and right, and combined with the front and back time relationships, the relationship between the two targets can be automatically combined and deduced. The high-level spatio-temporal logical semantic relationship can give the semantic description of the relative positional relationship between two objects within a certain period of time, and better assist the robot to make intelligent decisions.

Description

technical field [0001] The invention relates to the field of temporal-spatial relationship between indoor semantic map spatial entities, in particular to a method for extracting the temporal-spatial relationship of an indoor semantic map. Background technique [0002] With the accelerated update and iteration of Internet technology, indoor location intelligence service is one of the hot issues in the research and application of big data. The intelligent collection of information resources based on the Internet of Things has become possible, and we can use multi-network, multi-terminal intelligent data-aware devices to collect the spatio-temporal information we need. [0003] In recent years, with the rapid development of technology in the field of artificial intelligence, the construction of semantic maps has become one of the research hotspots in the computer field, and there are already feasible semantic map reconstruction schemes. Indoor semantic maps include spatial attr...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/29G06F16/36G06F40/295
CPCG06F40/295
Inventor 钟艳如郭秀艳罗笑南李芳刘斯韵李一媛
Owner GUILIN UNIV OF ELECTRONIC TECH