Vehicle Surround View Texture Extrapolation for Underbody Blind Spots
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Solution Overview
Problem
Conventional surround view systems in vehicles fail to provide an accurate representation of the ground surface under the vehicle body, leading to sub-optimal driver assistance during maneuvers, potentially resulting in vehicle damage.
Innovation Solution
A method and device that generate a vehicle environment view by calculating the texture of the ground surface under the vehicle using camera images from visible regions, with image data values extrapolated by a calculation unit to create a more realistic representation, including a uniform inner region and edge transition, enhancing the accuracy of the vehicle environment view.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional vehicle cameras are attached to the body of the vehicle to generate camera images, then the system can represent the vehicle environment, but the ground surface under the vehicle body cannot be captured and is reproduced in constant color hue, resulting in poor representation
Solution Approach 1:
The patent creates a copy of the visible ground surface texture and projects it onto the previously invisible ground surface area under the vehicle body. The calculation unit generates a virtual texture representation based on captured image data, effectively copying the texture pattern to fill the information gap in the blind spot region.
Solution Approach 2:
The patent transforms the problem from a 2D image representation issue to a 3D spatial mapping problem. By determining the ground surface area in three-dimensional space and projecting texture onto it, the system overcomes the limitation of conventional 2D camera views and fills the blind spot region under the vehicle body.
2Ease of operation
If the ground surface under the vehicle body is reproduced in constant color hue, then the system maintains simplicity, but the vehicle environment view becomes unrealistic and provides sub-optimal driver assistance during maneuvers
Solution Approach 1:
The patent dynamically changes the color and texture representation of the ground surface under the vehicle body by projecting captured texture data onto the blind spot region. This creates a realistic visual representation that helps the driver perceive the actual ground surface conditions, thereby improving driver assistance quality and reducing the risk of vehicle damage during maneuvers.
3Area of stationary object
If vehicle cameras are positioned to capture the environment, then the system can provide surround view functionality, but the region under the vehicle body remains a blind spot not visible to any camera
Solution Approach 1:
The patent creates a copy of the visible ground surface texture and projects it onto the previously invisible ground surface area under the vehicle body. The calculation unit generates a virtual texture representation based on captured image data, effectively copying the texture pattern to fill the information gap in the blind spot region.
Solution Approach 2:
The patent transforms the problem from a 2D image representation issue to a 3D spatial mapping problem. By determining the ground surface area in three-dimensional space and projecting texture onto it, the system overcomes the limitation of conventional 2D camera views and fills the blind spot region under the vehicle body.
Data Source
AI summary
A method for generating a vehicle environment view involves: capturing camera images with vehicle cameras on a vehicle body of a vehicle; and calculating of the vehicle environment view based on the camera images. In the vehicle environment view, a texture of a non-visible region of a ground surface located under the vehicle body and not visible to the vehicle cameras is calculated based on texture data of a visible region of the ground surface that is visible to vehicles cameras and surrounds the non-visible region.