Edge Image Generator for Vehicle Display Data Clutter Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image processing systems for vehicles struggle to accurately display diverse information from various external devices, such as cameras, navigation units, and terminal units, often overwhelming drivers with excessive data, which hinders recognition of critical information like moving bodies, road information, and characters.
Innovation Solution
An image processing determining apparatus that extracts and selects edges from image data based on device characteristics, generating edge images for display, with the edge selecting unit tailoring edge display amounts and prominence according to device type, reducing processing load and focusing attention on moving bodies and essential information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all edges from external device images are displayed, then complete information is provided, but driver recognition accuracy decreases due to visual clutter
Solution Approach 1:
The patent extracts only essential edges from external device images based on device type characteristics. The edge selecting unit selectively extracts edges from imaging units, navigation units, or terminal units according to predetermined selection methods, removing non-essential visual information while preserving critical outline data for driver recognition.
Solution Approach 2:
The patent applies different edge selection methods tailored to specific external device types. Imaging units use one selection method, navigation units use another, and terminal units use a third method. This localized quality approach ensures each device type contributes appropriate edge information without overwhelming the driver with uniform processing of all sources.
2Loss of information
If edge images from multiple external devices are processed, then comprehensive information is available, but processing load increases
Solution Approach 1:
The patent extracts only necessary edge information from each external device based on its type characteristics. By selecting specific edges rather than processing all image data, the system reduces processing load while maintaining comprehensive information coverage across multiple device sources.
Solution Approach 2:
The patent changes processing parameters according to external device type. Different selection methods are applied to imaging units, navigation units, and terminal units, optimizing processing efficiency for each device category while maintaining overall information diversity in the composite edge image.
3Measurement precision
If detailed edge information is displayed, then recognition accuracy improves, but visual clutter increases and obscures important information
Solution Approach 1:
The patent extracts only essential edge outlines from external device images, removing redundant detailed information. This extraction process maintains sufficient recognition accuracy by preserving critical object boundaries while eliminating excess visual data that would create clutter and obscure important information.
Data Source
AI summary
An edge image generator in an image processing determining apparatus extracts multiple edges from an image included in display data output from an external device, such as a terminal unit, a navigation unit, or an imaging unit. Then, the edge image generator selects certain edges from the extracted multiple edges by a certain selection method matched with characteristics of the external device to generate an edge image.