Virtual Scenario Generation via Aerial Image Meshing
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Solution Overview
Problem
Current methods for generating virtual scenarios are inefficient, requiring significant manual effort and resources, especially when based on real-world data such as aerial images.
Innovation Solution
A virtual scenario generation method that involves acquiring scenario characteristic information, generating a scenario division mesh, creating a scenario object collection, performing attribute matching, and selecting target scenario objects to efficiently construct a virtual scenario.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If developer handwork design or generation based on real scenario information is used, then virtual scenario generation can be achieved, but the efficiency is low and huge vigor and costs are required
Solution Approach 1:
The patent uses aerial photo images of real-world scenarios as templates to automatically generate corresponding virtual scenario data. The system copies the spatial structure, object relationships, and layout information from real aerial images and transforms them into virtual scenario representations, thereby eliminating the need for time-consuming manual design while maintaining high fidelity to the original scenario.
Solution Approach 2:
The patent replaces the mechanical manual design process with an automated image processing and scenario generation system. Instead of developers manually creating virtual scenarios, the system automatically processes aerial photo images through multiple processing stages to generate virtual scenario data, substituting human labor with computational processes.
2Productivity
If developer handwork design is used, then virtual scenarios can be created, but huge vigor and costs are required
Solution Approach 1:
The patent uses aerial photo images of real-world scenarios as templates to automatically generate corresponding virtual scenario data. The system copies the spatial structure, object relationships, and layout information from real aerial images and transforms them into virtual scenario representations, thereby eliminating the need for time-consuming manual design while maintaining high fidelity to the original scenario.
Solution Approach 2:
The patent replaces the mechanical manual design process with an automated image processing and scenario generation system. Instead of developers manually creating virtual scenarios, the system automatically processes aerial photo images through multiple processing stages to generate virtual scenario data, substituting human labor with computational processes.
Data Source
AI summary
A virtual scenario generation method includes acquiring scenario characteristic information corresponding to a target virtual scenario to be generated; generating a scenario division mesh in an initial virtual scenario based on the scenario characteristic information, the scenario division mesh comprising division marking data configured to divide the initial virtual scenario; generating a scenario object collection which is about to be added to the scenario division mesh and comprises one or more scenario objects; performing attribute matching on the one or more scenario objects and the division marking data to obtain one or more candidate scenario objects allocated to the division marking data; selecting a target scenario object from the one or more candidate scenario objects according to position associated information between the candidate scenario objects and the division marking data; and matching the target scenario object with the division marking data to generate the target virtual scenario.