Vehicle Surround View Camera Alignment Without Service Recalibration
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Solution Overview
Problem
The surround view monitoring system for vehicles faces challenges in maintaining image matchability due to accumulated camera tolerance during vehicle operation, requiring inconvenient periodic corrections at service centers.
Innovation Solution
A system comprising multiple cameras, non-volatile memory, and a processor that captures and stores images and position information, allowing for feature extraction and matching to estimate current camera positions, correct image alignment, and detect abnormalities, thereby maintaining image matchability without the need for frequent service visits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If camera tolerance correction is performed periodically at service centers, then image matchability is maintained, but user convenience deteriorates and service frequency increases
Solution Approach 1:
The system enables self-service by allowing the vehicle to automatically detect and correct its own camera tolerance deviations. The processor compares captured images with stored reference images, estimates current camera positions, and performs real-time correction without requiring external service center intervention, thus maintaining image matchability while eliminating the need for periodic service visits
Solution Approach 2:
The system implements feedback by continuously monitoring image matchability through comparison of captured images with reference images. When deviations are detected, the system automatically adjusts camera position parameters based on the estimated current positions, creating a closed-loop control system that maintains reliability without user intervention
2Manufacturing precision
If camera tolerance is corrected at delivery, then initial image matchability is achieved, but accumulated tolerance during driving deteriorates image quality
Solution Approach 1:
The system transitions from static initial correction to dynamic real-time correction. Instead of relying solely on fixed correction values applied at delivery, the system continuously estimates current camera positions by comparing captured images with reference images and dynamically adjusts parameters to compensate for tolerance accumulation during driving operations
Solution Approach 2:
The system stores reference images captured when camera positions are correctly aligned as a baseline. These pre-stored reference images serve as the foundation for subsequent real-time comparisons and correction calculations, enabling the system to detect and correct deviations from the known good state
3Area of stationary object
If multiple cameras are installed for surround view monitoring, then monitoring coverage is improved, but system complexity and tolerance accumulation increase
Solution Approach 1:
The system merges the correction process for multiple cameras into a unified image-based comparison approach. Instead of independently calibrating each camera, the system captures images from all cameras, compares them collectively with reference images, and estimates current positions based on the combined visual information, thereby simplifying the overall correction process while maintaining comprehensive monitoring coverage
Data Source
AI summary
Disclosed is a surround view monitoring system comprising: a plurality of cameras provided in a vehicle, the cameras being configured to capture first images of surroundings of the vehicle; a non-volatile memory configured to store second images captured by the cameras or position information of the cameras in the vehicle; and a processor configured to match the first images captured by the cameras relative to one another based on the second images or the position information stored in the non-volatile memory.