Stylized 3D Building Rendering for Navigation
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Solution Overview
Problem
Current 3D navigation systems face challenges in visualizing buildings with limited detailed geometry and texture data, leading to either insufficient information or overwhelming drivers with photorealistic details, while also being computationally expensive and memory-intensive.
Innovation Solution
An on-line procedural modeling approach that generates stylized 3D buildings with moderate geometric complexity, using only 2D footprint and attribute information, allowing for fast and adaptive rendering suitable for navigation, with adjustable complexity levels to optimize performance on different hardware platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If photorealistic 3D buildings with high details are used, then building visualization realism is improved, but cognitive load on drivers increases and important navigation information is lost
Solution Approach 1:
The patent extracts only the essential geometric features and semantic attributes of buildings needed for navigation, removing unnecessary photorealistic details. This allows the system to present simplified building representations that convey navigation-relevant information while filtering out distracting visual noise.
Solution Approach 2:
Instead of starting with photorealistic models and removing details, the patent inverts the approach by starting with semantic building attributes and generating stylized representations that directly encode navigation information, achieving the opposite effect of what traditional photorealistic rendering produces.
2Manufacturing precision
If highly detailed 3D building data is used, then building recognition is improved, but computation resources and memory requirements increase
Solution Approach 1:
The patent creates stylized copies of building data that preserve essential geometric and semantic information while using significantly fewer computational resources. These simplified building representations maintain recognition accuracy without requiring the full detail of photorealistic models.
Solution Approach 2:
The patent changes the parameter representation of buildings from high-resolution geometric details to stylized attributes that capture essential features. This transformation reduces memory footprints and computation requirements while maintaining the information needed for building recognition and navigation.
3Quantity of substance
If 2.5D building lifting approach is used, then data storage requirements are reduced, but building type differentiation and landmark recognition are lost
Solution Approach 1:
The patent applies different levels of geometric detail and stylization to different parts of building representations based on their navigation importance. Landmarks and significant buildings receive more detailed stylized treatment, while ordinary buildings use simpler representations, optimizing both storage and information retention.
Solution Approach 2:
The patent combines multiple data sources including 2D footprints, height information, and semantic building attributes to create composite stylized building representations. This composite approach preserves building type differentiation and landmark recognition while maintaining data efficiency.
Data Source
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AI summary
A method of displaying a navigation map includes determining a route of a vehicle. A two-dimensional footprint of a building disposed within a geographic area is received within the vehicle. The geographic area includes the route of the vehicle. Attribute information associated with the building is received. The attribute information is received within the vehicle. A visual representation of the building is rendered based upon the two-dimensional footprint and the attribute information.