Rear View Mirror Simulation Image Rectification
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Solution Overview
Problem
Current vehicle systems for displaying rear-view camera images suffer from distortion due to wide-angle lenses, making it difficult for drivers to accurately perceive hazardous situations, and existing solutions do not effectively combine image rectification with real-time data processing and graphical representations to enhance situational awareness.
Innovation Solution
A system that includes image rectification and an object detection and classification module, using periodic descriptor functions to analyze camera images, correct distortions, and provide true-to-scale representations of regions of interest, combining numerical, graphical, and audio cues to alert drivers of potential hazards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of moving object
If wide-angle lenses are used to capture rear-view images, then the field of view is improved, but image distortion increases
Solution Approach 1:
The patent applies image rectification algorithms that transform distorted wide-angle lens images into corrected representations. The system changes the parameter representation of image coordinates through mathematical transformation, converting the distorted field of view into a accurate spatial representation while preserving the expanded coverage area.
Solution Approach 2:
The patent introduces an intermediate processing stage between image capture and display. Image rectification modules act as mediators that receive distorted images from wide-angle lenses and output corrected images, separating the function of wide-angle capture from the function of accurate representation.
2Measurement precision
If image rectification is applied to correct distortion, then measurement precision is improved, but processing time increases
Solution Approach 1:
The patent pre-calculates and stores rectification transformation parameters and lookup tables during system initialization. This preliminary action allows the system to apply pre-computed correction factors in real-time operation, significantly reducing the processing time required for image rectification during actual driving conditions.
Solution Approach 2:
The patent creates simplified copies or approximations of the full rectification process through pre-computed transformation tables. Instead of performing complete real-time rectification calculations, the system uses pre-generated reference data that provides accurate results with minimal computational overhead during critical driving moments.
3Reliability
If multiple processing modules are integrated for comprehensive hazard detection, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple processing functions including image rectification, object detection, classification, and hazard assessment into an integrated system architecture. By merging these previously separate modules into a unified processing pipeline, the system achieves comprehensive hazard detection while reducing overall system complexity through shared resources and coordinated operation.
Solution Approach 2:
The patent designs processing modules that perform multiple functions simultaneously. For example, the same image processing pipeline handles both rectification and object detection, and the detection system serves both classification and hazard warning purposes, reducing the total number of components needed while maintaining comprehensive monitoring capabilities.
Data Source
AI summary
A method is shown to indicate to a driver of a vehicle the presence of an object moving relative to the vehicle. The method begins by collecting data using a camera or other such image capturing device. The data is analyzed to detect a hazard created by the presence of the object, regardless of whether it is moving or not. A warning associated with the hazard is created. Both the hazard and the warning are displayed using the display device.