3D Map Display Culling Area Based on Road Width
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing 3D map display systems often obstruct navigation information due to buildings, mountains, and hills, which prevents accurate display of a vehicle's starting point and destination.
Innovation Solution
A display system and method that determines a culling area based on road information such as width and lane, converts data of objects within this area to remove or blend them, allowing for complete and efficient guidance information display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If buildings, mountains, and hills are displayed in a 3D map to enrich the image, then the visual quality is improved, but navigation information such as vehicle position, starting point, and destination may be obstructed
Solution Approach 1:
The display area is segmented into a culling area (where objects are removed or blended) and a non-culling area (where objects are displayed normally). This segmentation allows navigation information to be clearly displayed in the culling area while maintaining visual enrichment in other areas, thus resolving the contradiction between visual quality and information visibility.
Solution Approach 2:
Different display qualities are applied to different regions of the map. In the culling area, objects are removed or blended to ensure navigation information visibility, while in non-culling areas, objects are displayed with full visual detail. This local differentiation resolves the contradiction by applying quality enhancement only where it does not interfere with information display.
2Loss of information
If a culling area is determined based on road information to remove obstructing objects, then navigation information visibility is improved, but the device complexity increases due to additional processing requirements
Solution Approach 1:
The culling area is determined in advance based on road information before the actual display process. By pre-calculating the culling area using road width and lane data, the system avoids complex real-time processing during display, thus improving navigation information visibility while minimizing the increase in device complexity.
Solution Approach 2:
The system uses road information (width and lane data) as a template or copy to define the culling area boundaries. This approach simplifies the processing by reusing existing road data structures rather than creating complex new geometric calculations, thereby reducing device complexity while achieving the desired visibility improvement.
3Loss of information
If objects are removed or blended in the culling area to prevent obstruction, then navigation information display is improved, but the quantity of displayed objects is reduced
Solution Approach 1:
The display area is divided into culling and non-culling regions, allowing objects to be preserved in non-culling areas while being removed or blended in culling areas. This segmentation ensures that navigation information is not obstructed while maintaining the maximum possible quantity of objects in areas where they do not interfere with information display.
Solution Approach 2:
Different object handling strategies are applied locally: objects in the culling area are removed or blended to prioritize navigation information display, while objects in non-culling areas are displayed in full to maintain quantity and visual enrichment. This local differentiation resolves the contradiction between information display and object quantity.
Data Source
AI summary
A system and method of displaying a three-dimensional (3D) map based on road information. A display system, including: a culling area determination unit to determine a culling area based on road information; a data conversion unit to convert data of at least a portion of objects displayed on the culling area; and a display unit to display at least the portion of the objects based on the converted data.