Vehicle Surround Display Color Mapping for Object Recognition
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Solution Overview
Problem
Existing vehicle display systems struggle to help occupants easily identify specific objects in their vicinity based on the objects' outward appearances, leading to confusion about what the displayed images represent.
Innovation Solution
A display control device that simulates the characteristic color of specific objects in the vehicle's vicinity, using a predetermined color to enhance recognition, and selectively applies this color to parts of the object image, reducing processing burden.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the entire specific object image is displayed in the predetermined color simulating the characteristic color, then the occupant can easily identify the specific object, but the processing burden on the control unit increases
Solution Approach 1:
The specific object image is divided into multiple parts, and only certain important parts are displayed in the predetermined color simulating the characteristic color, while other parts are displayed in the predetermined mode. This segmentation approach maintains object identification accuracy while reducing the processing burden on the control unit.
Solution Approach 2:
Different parts of the specific object image are assigned different display qualities: important parts are displayed in the predetermined color for enhanced recognition, while less critical parts are displayed in the predetermined mode. This local differentiation optimizes the balance between identification accuracy and processing efficiency.
2Measurement precision
If a predetermined color simulating the characteristic color is generated every time the specific object image is displayed, then the color accuracy is high, but the processing burden increases
Solution Approach 1:
Multiple colors are prepared beforehand as candidate predetermined colors instead of generating the color simulation in real-time. The control unit selects from these pre-prepared colors based on the characteristic color of the specific object, which reduces the processing burden while maintaining color accuracy.
Solution Approach 2:
The system changes the parameter of color selection from real-time generation to selection from pre-prepared options. By preparing multiple colors in advance and selecting the most appropriate one based on the characteristic color, the system improves processing efficiency while maintaining color accuracy.
3Productivity
If only one part of the specific object image is displayed in the predetermined color, then the processing burden is reduced, but the object identification accuracy may decrease
Solution Approach 1:
The system applies different display qualities to different parts of the specific object image based on their importance for identification. Critical parts that are essential for object recognition are displayed in the predetermined color, while less critical parts are displayed in the predetermined mode, maintaining identification accuracy while reducing processing burden.
Solution Approach 2:
Instead of applying the predetermined color to the entire object image or only a single part, the system applies it to the appropriate parts that are sufficient for accurate object identification. This partial action approach optimizes the balance between processing efficiency and identification accuracy.
Data Source
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AI summary
A display control device including a processor, the processor causing a display unit to display, based on detection information detectable by a vehicle, a vehicle image representing the vehicle (10A) as viewed from a virtual viewpoint and causing the display unit to display a specific object image, representing a specific object (78) that is present in a vicinity of the vehicle, in a predetermined color simulating a characteristic color derived from an outward appearance of the specific object.