Vehicle Surroundings Display Frequency Decomposition
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Solution Overview
Problem
Conventional methods for displaying vehicle surroundings complicate video processing by calculating speed vectors for each pixel, leading to increased operation quantity and difficulty in distinguishing approaching vehicles from obstacles.
Innovation Solution
A vehicle surroundings display unit that includes a pick-up unit, an approaching vehicle sensor, a display processor, and a frequency decomposing unit, which decomposes time-varying components of the video into frequency domains, extracts high-frequency pixels indicating approaching vehicles, and displays them distinctively from low-frequency components representing obstacles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If speed vectors are calculated by taking frame-to-frame difference to detect approaching vehicles, then approaching vehicles can be detected, but video processing complexity increases and operation quantity increases
Solution Approach 1:
The patent extracts only the necessary information (approaching vehicle detection) from the video data without performing full frame-to-frame difference calculations for all pixels. By focusing on specific detection tasks rather than comprehensive video analysis, the system achieves detection accuracy while reducing processing complexity.
Solution Approach 2:
The video processing is segmented into distinct functional modules: pick-up unit for video acquisition, approaching vehicle sensor for detection, display processor for processing, and display unit for output. This segmentation allows each module to perform its specific function efficiently, reducing overall system complexity while maintaining detection capability.
2Measurement precision
If speed vectors are calculated for each pixel to detect mobile bodies, then approaching vehicles can be identified, but calculation quantity increases
Solution Approach 1:
Instead of calculating speed vectors for all pixels in the video, the system performs partial action by focusing calculations only on relevant areas or using simplified detection algorithms. This partial processing approach maintains sufficient detection precision for approaching vehicles while significantly reducing the total calculation quantity required.
3Measurement precision
If conventional video processing methods are used to distinguish approaching vehicles from obstacles, then detection can be performed, but operation quantity increases
Solution Approach 1:
The display processor acts as an intermediary between the approaching vehicle sensor and the display unit. It processes the detected vehicle information and prepares it for display, automatically handling the complexity of distinguishing approaching vehicles from obstacles without requiring manual intervention. This intermediary processing reduces operational burden while maintaining classification accuracy.
Data Source
AI summary
A vehicle surroundings display unit, including: 1) a pick-up unit for picking up a video of vehicle surroundings; 2) an approaching vehicle sensor for sensing, based on the video picked up by the pick-up unit, an approaching vehicle which is approaching a subject vehicle; 3) a display processor for displaying the approaching vehicle sensed by the approaching vehicle sensor while distinguishing the approaching vehicle from an obstacle which is not approaching the subject vehicle; 4) a display unit for displaying the video which has undergone the displaying operation by the display processor; and 5) a frequency decomposing unit to make the following operations: decomposing a time-varying component of a pixel of the picked-up video for each frequency, extracting the pixel having a frequency of the time-varying component higher than a certain frequency, and of the thus extracted pixels of the picked up video, displaying the pixels in a vehicle area.