Textured Map Data Generation for Vehicle Navigation
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Solution Overview
Problem
Existing map data for motor vehicles often lacks detailed landmark information, making it difficult for drivers to navigate, especially in environments with abstract or symbolic representations, leading to challenges in implementing maneuvers correctly.
Innovation Solution
A method involving scanning the environment to recognize objects, determining their texture, and creating a textured representation using previously observed surface information, geometric shapes, and machine learning techniques like inpainting and outpainting to enhance the realism of landmark representations in map data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If symbolic or abstract environment information is represented between landmarks, then map data can be generated with fewer detailed landmark markers, but the driver finds it difficult to implement proposed maneuvers correctly
Solution Approach 1:
The patent applies copying by capturing real-world images of the environment and using these images as textured representations in the map data. Instead of using abstract symbols, the system copies actual visual information from the real world to create realistic representations of buildings, streets, and landmarks, enabling drivers to recognize and navigate based on familiar visual patterns.
Solution Approach 2:
The patent utilizes color and visual information by processing images to extract color data, texture information, and visual characteristics. These visual properties are then applied to the map representation to create realistic-colored and textured models of the environment, allowing drivers to better recognize and navigate through familiar visual cues.
2Ease of manufacture
If uniform block representations are used between landmarks, then map data generation is simplified, but the driver cannot recognize surrounding details adequately
Solution Approach 1:
The system copies detailed visual information from real-world images directly into the map representation. By capturing and storing actual images of buildings, streets, and environmental features, the system preserves rich detail information that would otherwise be lost in simplified block representations, while still maintaining the structured map data format.
Solution Approach 2:
The patent segments the environment into multiple detailed regions and objects rather than using uniform blocks. By dividing the map data into discrete, detailed representations of individual buildings, streets, and landmarks with their own visual characteristics, the system maintains detail information while keeping the overall map structure manageable.
3Ease of operation
If realistic views of the environment are provided, then the driver can easier recognize landmarks and implement maneuvers, but the map data becomes more complex and requires more processing
Solution Approach 1:
The system copies real-world images and processes them to extract essential visual information. By using image copying and processing techniques, the system creates realistic representations that enhance landmark recognition while managing complexity through automated image processing algorithms that efficiently extract and apply only the necessary visual features.
Data Source
AI summary
A method of providing surroundings data of a motor vehicle includes scanning an environment of the motor vehicle, recognizing a scanned object in the environment, determining a texture of the scanned object, and creating a textured representation of the scanned object.