Vehicle Top View Image Correction for Road Slope Distortion
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Solution Overview
Problem
The existing around view systems in vehicles often produce distorted images due to variations in road gradients, tire pressure, and passenger load, leading to inconsistent and unreliable visual feedback for drivers, which can compromise safety during parking and navigation in narrow paths.
Innovation Solution
A vehicle system that includes an image acquiring unit and a controller to correct the image by comparing feature lines from the acquired image with predetermined reference lines, adjusting the viewing angle based on the angles defined by these lines to provide a top view image with reduced distortion, thereby determining road slope and vehicle tilt.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of moving object
If a wide-angle camera is used to capture surrounding images, then the field of view is increased, but image distortion occurs due to road gradients and vehicle tilt
Solution Approach 1:
The system dynamically changes the viewing angle parameter of the camera based on detected road gradient and vehicle tilt conditions. When distortion is detected through feature line analysis, the controller adjusts the viewing angle to compensate for the distortion, thereby maintaining image accuracy while preserving the wide-angle field of view capability
Solution Approach 2:
The system implements a feedback mechanism where the controller continuously analyzes feature lines in the captured images, compares them against reference lines, detects distortion conditions, and automatically adjusts the viewing angle in response. This closed-loop feedback ensures that image distortion is corrected in real-time while maintaining the benefits of wide-angle imaging
2Manufacturing precision
If the viewing angle is adjusted to correct image distortion, then image accuracy is improved, but the field of view is reduced
Solution Approach 1:
The system makes the viewing angle dynamic rather than fixed. The controller adjusts the viewing angle in real-time based on detected road and vehicle conditions, allowing the system to optimize between field of view and image accuracy depending on the current operating environment. This dynamic adjustment resolves the contradiction by making both parameters adaptable rather than fixed
3Measurement precision
If feature line comparison is used to detect road slope and vehicle tilt, then image correction accuracy is improved, but system complexity increases
Solution Approach 1:
The system uses the existing surrounding images themselves as the source of feature lines for detection, rather than requiring separate sensors or reference materials. The images capture road markings, building lines, and other environmental features that naturally provide the reference needed for slope and tilt detection, making the system self-sufficient and reducing additional hardware complexity
Data Source
AI summary
A vehicle and a control method may determine a state of a vehicle or a slope of a road surface using an image acquired by the vehicle, and provide a top view image with less distortion by correcting the image based on the state of the vehicle and the slope of the road surface. The vehicle includes a display; an image acquiring unit to acquire an image around the vehicle; and a controller to change the image around the vehicle based on a difference between the image around the vehicle and a predetermined reference line and to output the changed image to the display.