Vehicle Camera Display With Selective 3D Obstacle Texturing
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Solution Overview
Problem
All-round vision systems for vehicles overwhelm drivers with excessive information, requiring significant computing power to display complex data, while often presenting irrelevant information that does not add value to the driver's understanding of the surroundings.
Innovation Solution
A method to display detected obstacles in a virtual three-dimensional space using virtual objects with a selection criterion to reduce information content by applying predefined textures or filters, such as gray shading, to enhance contrast and reduce computational effort, allowing the driver to focus on relevant information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If detailed textures from camera system are displayed on all virtual three-dimensional objects, then information completeness is improved, but computing power consumption increases and driver cognitive load increases
Solution Approach 1:
The patent applies different texture qualities to different virtual three-dimensional objects based on their relevance to the driver. High-detail camera textures are applied only to selected objects that require attention, while other objects receive simplified predefined textures. This local differentiation reduces overall computing power consumption while maintaining information completeness for critical elements.
Solution Approach 2:
The system dynamically changes texture parameters (detail level, resolution) based on object selection criteria. Selected objects receive high-quality camera-generated textures, while unselected objects use low-detail predefined textures. This parameter adjustment resolves the contradiction by adapting information density to actual driver needs, reducing computing load without losing essential information.
2Loss of information
If detailed textures from camera system are displayed on all virtual three-dimensional objects, then information completeness is improved, but driver cognitive load increases
Solution Approach 1:
The patent applies different texture qualities to different virtual three-dimensional objects based on their relevance to the driver. High-detail camera textures are applied only to selected objects that require attention, while other objects receive simplified predefined textures. This local differentiation reduces overall computing power consumption while maintaining information completeness for critical elements.
Solution Approach 2:
Instead of providing full detailed textures for all objects (excessive action), the system provides detailed textures only for selected relevant objects (partial action). This partial application of high-detail rendering reduces the information overload on the driver while maintaining completeness for critical elements, thus reducing cognitive load.
3Loss of information
If complex display integrating all available information is created, then information completeness is improved, but device complexity increases
Solution Approach 1:
The patent applies different texture qualities to different virtual three-dimensional objects based on their relevance to the driver. High-detail camera textures are applied only to selected objects that require attention, while other objects receive simplified predefined textures. This local differentiation reduces overall computing power consumption while maintaining information completeness for critical elements.
Solution Approach 2:
The display system is segmented into different rendering modes: selected objects receive detailed camera textures while unselected objects use simplified predefined textures. This segmentation of the display complexity allows the system to maintain information completeness for important elements while reducing overall device complexity and processing requirements.
Data Source
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AI summary
The invention relates to a method for displaying images of a camera system (3) of a vehicle (1), according to which obstacles detected by the camera system (3) in the surroundings of the vehicle (1) are displayed on a display device (4) in a virtual three-dimensional space (6) as virtual three-dimensional objects (5), and, on the basis of a selection criterion, it is determined whether the virtual three-dimensional objects (5) and/or the virtual three-dimensional space (6) are covered with textures that are generated by the camera system (3) or are covered with at least one pre-defined texture.