Multi-Layered Geographic Image Rendering for Navigation
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Solution Overview
Problem
Current navigation systems have limited configuration options for displaying geographic data and require inefficient processing and memory storage to modify display features, hindering the creation of flexible and efficient graphics images for navigation and geographic views.
Innovation Solution
A computer-implemented method for creating a multi-layered image from a three-dimensional model of a geographic area, where three-dimensional graphical object data is rendered into independent two-dimensional layers based on specific perspective views, allowing for flexible combination and configuration of layers without causing gaps, and stored as scalable vector graphics images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If navigation systems use traditional single-layer display methods, then the system complexity is low, but the configuration options for display features are limited and processing efficiency is poor
Solution Approach 1:
The geographic scene is divided into multiple independent graphical layers (e.g., terrain layer, vegetation layer, water layer, building layer), where each layer represents a specific geographic feature type. This segmentation allows independent configuration and rendering of each layer, providing flexible display options without requiring complex system-wide modifications.
Solution Approach 2:
The system transitions from traditional single-layer 2D display to multi-layer 3D graphical representation. Each layer can be independently configured, rendered, and combined, adding a dimensional aspect of layering that enables flexible configuration options while maintaining manageable system complexity through modular architecture.
2Adaptability or versatility
If navigation systems modify display features to provide more configuration options, then the adaptability improves, but the processing demand and memory storage requirements increase
Solution Approach 1:
By segmenting the geographic scene into separate graphical layers, the system can process and render each layer independently. This reduces the overall processing demand compared to modifying a single complex layer, as each layer can be optimized and rendered separately using efficient algorithms.
Solution Approach 2:
The graphical layers are pre-rendered from three-dimensional geographic data and stored in an optimized format. This preliminary processing allows the system to quickly assemble and configure displays by combining pre-rendered layers rather than processing raw geographic data in real-time, significantly improving processing efficiency.
Data Source
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AI summary
Systems, devices, features, and methods for generating and/or using a multi-layered image are disclosed. For example, a method of creating a multi-layered image from a three-dimensional model of a geographic area includes receiving three-dimensional graphical object data that represents a geographic area. The three-dimensional graphical object includes multiple geographic features. A first graphical layer of a first geographic feature of the three-dimensional graphical object is rendered as a first independent image layer. A second graphical layer of a second geographic feature of the three-dimensional graphical object is rendered as a second independent image layer. The first graphical layer and the second graphical layer are combined or overlaid to form the multi-layered image. Also, removal of layers may occur in a reverse order of their creation and/or may avoid causing gaps within the other layers not removed.