CN114840292A - Real-time rendering method based on automobile AI virtual image and automobile - Google Patents
Real-time rendering method based on automobile AI virtual image and automobile Download PDFInfo
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- CN114840292A CN114840292A CN202210421635.3A CN202210421635A CN114840292A CN 114840292 A CN114840292 A CN 114840292A CN 202210421635 A CN202210421635 A CN 202210421635A CN 114840292 A CN114840292 A CN 114840292A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/451—Execution arrangements for user interfaces
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/445—Program loading or initiating
- G06F9/44505—Configuring for program initiating, e.g. using registry, configuration files
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Abstract
The invention discloses a real-time rendering method based on an automobile AI virtual image, which comprises the steps of classifying rendering resources required by the AI virtual image, dividing the classified rendering resources, storing part of the rendering resource division in the local, and uploading the other part of the rendering resource division to a cloud end; according to different use scenes, respectively setting a corresponding rendering resource configuration table for each use scene; when different use scenes are entered, a rendering resource configuration table required by the current scene is obtained, whether rendering resources on the rendering resource configuration table exist in the local is judged, and then rendering resources which are lacked in the rendering resource configuration table are downloaded to the local from a cloud end; and loading the rendering resources of the current scene to finish scene rendering. According to the method and the system, part of rendering resources are stored in the cloud, so that the requirement on local hardware configuration can be reduced, and corresponding rendering resources are downloaded according to different use scenes, so that the smoothness of rendering of the virtual image by the hardware can be ensured.
Description
Technical Field
The invention relates to the field of image processing, in particular to a real-time rendering method based on an automobile AI virtual image and an automobile.
Background
Since the intelligent automobile concept is popularized, with the development of the internet of vehicles, the upgrade of each hardware facility and the maturity of the fourth generation mobile information system, the monotonous vehicle-mounted AI assistant cannot meet the visual and mental requirements of the automobile owner, and the formation of the personalized and diversified AI assistant image is especially necessary. How the vehicle terminal meets the display of rich images and scenes, and the performance of enhanced data information enriches the mutual inductance is a new opportunity and challenge introduced at present. The real-time rendering is realized while the hardware configuration problem and the operation and storage space problem of the vehicle-mounted computer are also considered, the hardware configuration of the vehicle-mounted computer has an upper limit, the configuration method for increasing the vehicle-mounted computer is not feasible, and the input cost is also increased in an exponential order. However, if only a single static rendering mode is adopted, the presentation form of the scene is too simple and rigid, and the advantages that the initial assumption and the traditional intelligent assistant are not obvious and outstanding are not satisfied, so that the user experience and the richness of the scene of the vehicle-mounted device are not greatly improved in practice, and the requirement for the real-time rendering technology of the AI virtual image is particularly necessary.
Disclosure of Invention
Aiming at the defects of the prior art, the technical problems to be solved by the invention are as follows: how to provide a real-time rendering method based on an automobile AI virtual image, which can smoothly show the virtual image under the condition of low hardware configuration.
In order to solve the technical problems, the invention adopts the following technical scheme:
a real-time rendering method based on an automobile AI virtual image comprises the following steps:
(1) classifying rendering resources required by the AI virtual image, and dividing the classified rendering resources, wherein one part of rendering resource division is stored locally, and the other part of rendering resource division is uploaded to a cloud end;
(2) according to different use scenes, respectively setting a corresponding rendering resource configuration table for each use scene;
(3) when different use scenes are entered, a rendering resource configuration table required by the current scene is obtained, whether rendering resources on the rendering resource configuration table exist in the local is judged, and then rendering resources which are lacked in the rendering resource configuration table are downloaded to the local from a cloud end;
(4) and loading the rendering resources of the current scene to finish scene rendering.
As an optimization, in step (1), when the rendering resources are divided, the model resources, the action resources, the material resources, and the map resources are divided and uploaded to the cloud.
As an optimization, in step (1), when the rendering resources are classified, the classified rendering resources are packaged according to the bundle type.
As an optimization, in step (3), if a rendering resource exists locally on the rendering resource configuration table, reading an MD5 value of a file corresponding to the rendering resource, initiating a request to read an MD5 value of a cloud and ID rendering resource after reading, directly using the local rendering resource if the two values are equal after comparison, downloading the rendering resource from the cloud if the two values are not equal, and covering the local rendering resource of the file after downloading.
The invention also discloses an automobile which comprises the automobile machine system, and the automobile machine system applies the real-time rendering method based on the automobile AI virtual image.
In conclusion, the beneficial effects of the invention are as follows: according to the method and the system, part of rendering resources are stored in the cloud, so that the requirement on local hardware configuration can be reduced, and corresponding rendering resources are downloaded according to different use scenes, so that the smoothness of rendering of the virtual image by the hardware can be ensured, and the use experience of a user is improved.
Drawings
For purposes of promoting a better understanding of the objects, aspects and advantages of the invention, reference will now be made in detail to the present invention as illustrated in the accompanying drawings, in which:
FIG. 1 is a schematic rendering flow chart according to the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
As shown in fig. 1, a real-time rendering method based on an automobile AI avatar in the present embodiment is characterized in that: the method comprises the following steps:
(1) classifying rendering resources required by the AI virtual image, and dividing the classified rendering resources, wherein one part of rendering resource division is stored locally, and the other part of rendering resource division is uploaded to a cloud end;
(2) according to different use scenes, respectively setting a corresponding rendering resource configuration table for each use scene;
(3) when different use scenes are entered, a rendering resource configuration table required by the current scene is obtained, whether rendering resources on the rendering resource configuration table exist in the local is judged, and then rendering resources which are lacked in the rendering resource configuration table are downloaded to the local from a cloud end;
(4) and loading the rendering resources of the current scene to finish scene rendering.
In this embodiment, in step (1), when the rendering resources are divided, the model resources, the action resources, the material resources, and the map resources are divided and uploaded to the cloud.
In this embodiment, in step (1), when the rendering resources are classified, the classified rendering resources are packed according to the bundle type.
In this embodiment, in step (3), if a rendering resource exists locally on the rendering resource configuration table, the MD5 value of the file corresponding to the rendering resource is read, the MD5 value of the cloud and ID rendering resource is requested to be read after reading, after comparison, if the two values are equal, the local rendering resource is directly used, if the two values are not equal, the rendering resource is downloaded from the cloud, and the local rendering resource of the file is covered after downloading.
And after the rendering is finished, managing the rendering resources downloaded from the cloud, and deleting the rendering resources if the rendering resources are not used in a set period of time.
An automobile comprises an automobile machine system, and the automobile machine system applies the real-time rendering method based on the automobile AI virtual image.
Finally, it is noted that the above-mentioned embodiments illustrate rather than limit the invention, and that, while the invention has been described with reference to preferred embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (5)
1. A real-time rendering method based on an automobile AI virtual image is characterized in that: the method comprises the following steps:
(1) classifying rendering resources required by the AI virtual image, and dividing the classified rendering resources, wherein one part of rendering resource division is stored locally, and the other part of rendering resource division is uploaded to a cloud end;
(2) according to different use scenes, respectively setting a corresponding rendering resource configuration table for each use scene;
(3) when different use scenes are entered, a rendering resource configuration table required by the current scene is obtained, whether rendering resources on the rendering resource configuration table exist in the local is judged, and then rendering resources which are lacked in the rendering resource configuration table are downloaded to the local from a cloud end;
(4) and loading the rendering resources of the current scene to finish scene rendering.
2. The real-time rendering method based on the automobile AI avatar of claim 1, wherein: in the step (1), when the rendering resources are divided, the model resources, the action resources, the material resources and the chartlet resources are divided and uploaded to the cloud.
3. The real-time rendering method based on the automobile AI avatar of claim 1, wherein: in the step (1), when the rendering resources are classified, the classified rendering resources are packaged according to the bundle type.
4. The real-time rendering method based on the automobile AI avatar of claim 1, wherein: in the step (3), if a rendering resource on the rendering resource configuration table exists locally, reading an MD5 value of a file corresponding to the rendering resource, initiating a request to read an MD5 value of a cloud and ID rendering resource after reading, directly using the local rendering resource if the two values are equal after comparing, downloading the rendering resource from the cloud if the two values are not equal, and covering the local rendering resource of the file after downloading.
5. The utility model provides an automobile, includes car machine system, its characterized in that: the car machine system applies the real-time rendering method based on the automobile AI avatar of any one of the claims 1 to 4.
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CN102542129A (en) * | 2010-12-08 | 2012-07-04 | 杭州格诚网络科技有限公司 | Three-dimensional (3D) scene display system |
CN106776784A (en) * | 2016-11-24 | 2017-05-31 | 福建星网智慧科技股份有限公司 | A kind of method that WEB page is quickly loaded |
CN108846131A (en) * | 2018-07-03 | 2018-11-20 | 深圳鼎盛电脑科技有限公司 | Weex page rendering method, apparatus, terminal and storage medium |
CN112965690A (en) * | 2020-12-17 | 2021-06-15 | 贵阳语玩科技有限公司 | UI resource dynamic updating method and device, storage medium and electronic equipment |
CN114327705A (en) * | 2021-12-10 | 2022-04-12 | 重庆长安汽车股份有限公司 | Vehicle-mounted assistant virtual image self-defining method |
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2022
- 2022-04-21 CN CN202210421635.3A patent/CN114840292A/en not_active Withdrawn
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
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US20040075677A1 (en) * | 2000-11-03 | 2004-04-22 | Loyall A. Bryan | Interactive character system |
CN102542129A (en) * | 2010-12-08 | 2012-07-04 | 杭州格诚网络科技有限公司 | Three-dimensional (3D) scene display system |
CN106776784A (en) * | 2016-11-24 | 2017-05-31 | 福建星网智慧科技股份有限公司 | A kind of method that WEB page is quickly loaded |
CN108846131A (en) * | 2018-07-03 | 2018-11-20 | 深圳鼎盛电脑科技有限公司 | Weex page rendering method, apparatus, terminal and storage medium |
CN112965690A (en) * | 2020-12-17 | 2021-06-15 | 贵阳语玩科技有限公司 | UI resource dynamic updating method and device, storage medium and electronic equipment |
CN114327705A (en) * | 2021-12-10 | 2022-04-12 | 重庆长安汽车股份有限公司 | Vehicle-mounted assistant virtual image self-defining method |
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Application publication date: 20220802 |