CN112767556A - 3D intelligent guide system - Google Patents
3D intelligent guide system Download PDFInfo
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- CN112767556A CN112767556A CN202011607073.9A CN202011607073A CN112767556A CN 112767556 A CN112767556 A CN 112767556A CN 202011607073 A CN202011607073 A CN 202011607073A CN 112767556 A CN112767556 A CN 112767556A
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- 238000009435 building construction Methods 0.000 claims abstract description 12
- 238000013528 artificial neural network Methods 0.000 claims description 6
- 238000001514 detection method Methods 0.000 claims description 6
- 230000000977 initiatory effect Effects 0.000 claims description 6
- 238000000034 method Methods 0.000 claims 1
- 238000010276 construction Methods 0.000 description 4
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T19/00—Manipulating 3D models or images for computer graphics
- G06T19/003—Navigation within 3D models or images
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/05—Geographic models
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T19/00—Manipulating 3D models or images for computer graphics
- G06T19/006—Mixed reality
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Abstract
The invention relates to the field of a guide system, in particular to a 3D intelligent guide system, which comprises: the three-dimensional map building module is used for generating a corresponding three-dimensional guide map based on the building construction drawing; the guide route planning module is used for realizing the planning of the dynamic guide route based on the three-dimensional guide map and the real-time positioning information of the user according to the received guide request; and the 3D guiding module is used for realizing the 3D guiding of the current area based on the dynamic guiding route. The invention adopts the three-dimensional guide map constructed by the building construction drawing and the real-scene image in the building as the navigation map, so that the user can intuitively know the current position of the user and the position of the destination, thereby quickly searching the destination.
Description
Technical Field
The invention relates to the field of a guide system, in particular to a 3D intelligent guide system.
Background
With the continuous popularization of intelligent mobile terminal equipment, the traditional paper map is gradually replaced by navigation software in the intelligent mobile terminal equipment, and the navigation software has rapid position positioning and travel planning, thereby providing great convenience for people going out.
However, the inside of scenic spots, closed cells, underground garages, shopping malls and other buildings cannot be accurately guided. The existing guide modes of the scenes only have fixed guide cards, users cannot intuitively know the positions of the users, a large amount of time is needed for searching the destinations, and the guide difficulty is high, the effect is poor and the efficiency is low.
Disclosure of Invention
In order to solve the problems, the invention provides a 3D intelligent guide system which can intuitively know the current position of the user and quickly search for a destination.
In order to achieve the purpose, the invention adopts the technical scheme that:
a 3D smart guide system comprising:
the three-dimensional map building module is used for generating a corresponding three-dimensional guide map based on the building construction drawing;
the guide route planning module is used for realizing the planning of the dynamic guide route based on the three-dimensional guide map and the real-time positioning information of the user according to the received guide request;
and the 3D guiding module is used for realizing the 3D guiding of the current area based on the dynamic guiding route.
Furthermore, the three-dimensional map construction module takes the building construction drawing as a template, and puts the real-scene image in the building to the position corresponding to the building construction drawing, so that the construction of the three-dimensional guide map is realized.
Furthermore, the navigation route planning module firstly realizes calibration of a start coordinate node and a destination coordinate node according to the received destination request and the positioning information of the current user, then respectively marks the set start coordinate node and destination coordinate node in the three-dimensional navigation map by taking the three-dimensional navigation map as a template, and puts the received real-time positioning information of the user in the position corresponding to the three-dimensional navigation map to realize navigation route planning.
Further, a user initiates a guide request by entering a destination text request/destination picture request, the guide route planning module firstly identifies the position of a destination according to the destination text request/destination picture request, and then determines an initial coordinate node.
Further, the navigation route planning module realizes the identification of the approximate location information carried in the destination picture request based on the Dssd _ initiation _ V4_ coco model.
Furthermore, the Dssd _ initiation _ V4_ coco model adopts a Dssd target detection algorithm, an initiation _ V4 deep neural network is pre-trained by a coco data set, then the model is trained by a building interior real image set and corresponding position information thereof, various parameters in the deep neural network are finely adjusted, and finally a suitable target detection model for detecting the position information is obtained.
Furthermore, the dynamic guiding route comprises a navigation route and a navigation audio corresponding to the navigation route, each route in each preset threshold carries a guiding mark, and the corresponding guiding mark is configured at the corresponding position of the building.
The invention has the following beneficial effects:
1) the three-dimensional guide map constructed by the building construction drawing and the real-scene image inside the building is used as the navigation map, so that a user can visually know the current position of the user and the position of the destination, and the destination can be quickly searched.
2) The system supports the destination picture request, can carry out the location of roughly the destination according to the picture that the user uploaded, has greatly made things convenient for user's use, for example, after the user parks, can record the position that the car is located through shooting the picture, when the user needs to look for the vehicle, can obtain the position that the car is located through the mode of uploading the picture, and realize looking for fast of the vehicle through this system.
Drawings
Fig. 1 is a system block diagram of a 3D intelligent guide system according to an embodiment of the present invention.
Detailed Description
In order that the objects and advantages of the invention will be more clearly understood, the invention is further described in detail below with reference to examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, an embodiment of the present invention provides a 3D smart guide system, including:
the three-dimensional map building module is used for generating a corresponding three-dimensional guide map based on the building construction drawing;
the guide route planning module is used for realizing the planning of the dynamic guide route based on the three-dimensional guide map and the real-time positioning information of the user according to the received guide request;
and the 3D guiding module is used for realizing the 3D guiding of the current area based on the dynamic guiding route.
In this embodiment, the three-dimensional map construction module takes a building construction drawing as a template, and puts an internal real image of a building into a position corresponding to the building construction drawing, so as to implement construction of a three-dimensional guide map, wherein the internal real image of the building is acquired in real time based on a camera erected inside the building, so that the currently constructed three-dimensional guide map is matched with an actual scene as much as possible.
In this embodiment, the navigation route planning module first calibrates the start coordinate node and the end coordinate node according to the received destination request and the positioning information of the current user, then marks the set start coordinate node and end coordinate node in the three-dimensional navigation map by using the three-dimensional navigation map as a template, and puts the received real-time positioning information of the user in the position corresponding to the three-dimensional navigation map, thereby implementing dynamic planning of the navigation route.
In this embodiment, a user initiates a guide request by entering a destination text request/destination picture request, and the guide route planning module first identifies a location of a destination according to the destination text request/destination picture request, and then determines an initial coordinate node.
In this embodiment, the navigation route planning module identifies the approximate location information in the destination picture request based on the Dssd _ acceptance _ V4_ coco model. The above-mentioned
The Dssd _ initiation _ V4_ coco model adopts a Dssd target detection algorithm, a coco data set is used for pre-training an initiation _ V4 deep neural network, then a building interior live-action image set and corresponding position information are used for training the model, various parameters in the deep neural network are finely adjusted, and finally a proper target detection model for detecting the position information is obtained.
In this embodiment, the dynamic guiding route includes a navigation route and a navigation audio corresponding to the navigation route, and each route within the preset threshold carries a guiding mark, and the guiding mark is configured at a corresponding position of the building.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the present invention, and these improvements and modifications should also be construed as the protection scope of the present invention.
Claims (7)
1. The utility model provides a 3D intelligence guide system which characterized in that: the method comprises the following steps:
the three-dimensional map building module is used for generating a corresponding three-dimensional guide map based on the building construction drawing;
the guide route planning module is used for realizing the planning of the dynamic guide route based on the three-dimensional guide map and the real-time positioning information of the user according to the received guide request;
and the 3D guiding module is used for realizing the 3D guiding of the current area based on the dynamic guiding route.
2. The 3D smart navigation system of claim 1, wherein: the three-dimensional map building module takes a building construction drawing as a template and puts the real-scene image in the building to a position corresponding to the building construction drawing, so that the building of the three-dimensional guide map is realized.
3. The 3D smart navigation system of claim 1, wherein: the navigation route planning module firstly realizes calibration of a start coordinate node and a destination coordinate node according to a received destination request and positioning information of a current user, then respectively marks the set start coordinate node and destination coordinate node in the three-dimensional navigation map by taking the three-dimensional navigation map as a template, and puts the received real-time positioning information of the user in a position corresponding to the three-dimensional navigation map to realize navigation route planning.
4. The 3D smart guide system of claim 3, wherein: the user initiates a guide request by entering a destination text request/destination picture request, the guide route planning module firstly identifies the position of the destination according to the destination text request/destination picture request, and then determines an initial coordinate node.
5. The 3D smart navigation system of claim 4, wherein: and the guide route planning module realizes the identification of the approximate position information loaded in the destination picture request based on the Dssd _ initiation _ V4_ coco model.
6. The 3D smart navigation system of claim 5, wherein: the Dssd-acceptance-V4-coco model adopts a Dssd target detection algorithm, an acceptance-V4 deep neural network is pre-trained by a coco data set, then the model is trained by a real scene image set inside a building and corresponding position information thereof, various parameters in the deep neural network are finely adjusted, and finally a proper target detection model for detecting the position information is obtained.
7. The 3D smart navigation system of claim 1, wherein: the dynamic guiding route comprises a navigation route and a navigation audio corresponding to the navigation route, each route in each preset threshold carries a guiding mark, and the corresponding guiding mark is configured at the corresponding position of the building.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114927001A (en) * | 2022-04-19 | 2022-08-19 | 天津二建建筑工程有限公司 | Video monitoring method, system, intelligent terminal and storage medium |
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| CN109615912A (en) * | 2018-12-27 | 2019-04-12 | 海南传科技有限公司 | A kind of parking garage parking space intelligent recommender system for heavy construction |
| US20190385452A1 (en) * | 2018-06-18 | 2019-12-19 | Skip Transport, Inc. | Method and system for vehicle location |
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| US20190385452A1 (en) * | 2018-06-18 | 2019-12-19 | Skip Transport, Inc. | Method and system for vehicle location |
| CN109615912A (en) * | 2018-12-27 | 2019-04-12 | 海南传科技有限公司 | A kind of parking garage parking space intelligent recommender system for heavy construction |
Non-Patent Citations (1)
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114927001A (en) * | 2022-04-19 | 2022-08-19 | 天津二建建筑工程有限公司 | Video monitoring method, system, intelligent terminal and storage medium |
| CN114927001B (en) * | 2022-04-19 | 2023-09-26 | 天津二建建筑工程有限公司 | Video monitoring method, system, intelligent terminal and storage medium |
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| CN112767556B (en) | 2024-04-09 |
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