Nonphotorealistic 3D Map Rendering for Navigation

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Solution Overview

Problem

Existing 3D navigation systems require high computational resources and provide unnecessary details, making it difficult for users to match rendered images with real-life views, while 2D systems lack essential visual cues.

Innovation Solution

Implementing non-photorealistic (NPR) rendering techniques, such as cartoon-like, pencil sketches, and pen-and-ink illustrations, to visualize important details of 3D objects, allowing for efficient rendering with reduced computational load and user-friendly landmark recognition.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If photorealistic rendering techniques are used to visualize 3D buildings and landmarks, then the visual detail and realism are improved, but the computational resource requirements increase and the complexity of matching with real-life views increases

Engineering Contradiction:
Improvevisual detail accuracyVSAvoidcomputational resource requirements
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent extracts only the essential visual features needed for navigation (landmark identification, orientation) while removing unnecessary photorealistic details. This is achieved through simplified 3D modeling that retains geometric accuracy for navigation purposes but eliminates complex textures and lighting effects that consume computational resources.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

Instead of starting with photorealistic rendering and removing details, the patent inverts the approach by starting with simplified 3D models and adding only the minimal visual details necessary for landmark recognition. This reversal reduces computational complexity from the outset while maintaining navigation effectiveness.

Inventive Principle:
Principle #13The other way round (Inversion)

2Loss of information

If photorealistic rendering techniques are used to visualize every detail of the 3D world, then the completeness of visualization is improved, but the cognitive load on the user increases and landmark recognition becomes more difficult

Engineering Contradiction:
Improvevisualization completenessVSAvoidlandmark recognition ease
Core Design Contradiction:
Loss of informationVSEase of operation

Solution Approach 1:

The patent extracts and highlights only the most important visual features that aid landmark recognition, such as distinctive building shapes, rooflines, and key architectural elements. By removing extraneous details, the system reduces cognitive load while preserving the essential information needed for effective navigation and landmark identification.

Inventive Principle:
Principle #2Taking out (Extraction)

3Measurement precision

If detailed photorealistic building textures and geometry models are used, then the accuracy of matching rendered images with real-life views is improved, but the time and computational resources required to produce and update maps increase

Engineering Contradiction:
Improvematch accuracy with real-life viewsVSAvoidmap production and update efficiency
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The patent uses simplified 3D models that are computationally inexpensive to generate and update. These models can be quickly produced from available data sources and updated frequently without requiring significant computational resources, enabling efficient map production and timely updates while maintaining sufficient accuracy for navigation purposes.

Inventive Principle:
Principle #27Cheap short-living objects (Disposable)

Data Source

PatentUS9390544B23D navigation methods using nonphotorealistic (NPR) 3D maps
Publication Date: 2016.07.12 ROBERT BOSCH GMBH
  • US9390544B2 patent drawing
  • US9390544B2 patent drawing
  • US9390544B2 patent drawing

AI summary

A method of displaying a navigation map includes automatically determining a location of a vehicle. Three-dimensional or 2D data associated with buildings surrounding the vehicle is identified. A nonphotorealistic image of 3D objects around the vehicle is rendered based on the data. The nonphotorealistic image is electronically displayed to a user.