Vehicle Surround-View Image Stitching With ROI Brightness Matching
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Solution Overview
Problem
Current vehicle imaging systems for ADAS face challenges in achieving uniform brightness and color in composite images due to varying light levels from environmental and integration factors, leading to inconsistent luminosity in combined top views.
Innovation Solution
A system and method that defines fixed regions of interest for each camera during assembly, adjusting brightness and color only for these regions, ensuring consistent image quality by using a composite image processor to combine images from multiple cameras.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple cameras are used to capture images from different locations on the vehicle, then a complete top view of the vehicle and surroundings is achieved, but the brightness and color of the captured images vary due to different light levels and camera integration positions
Solution Approach 1:
The patent applies local quality by defining specific regions of interest (ROIs) within each camera's captured image. These ROIs are selectively adjusted for brightness and color based on their local characteristics, rather than uniformly processing the entire image. This allows each region to be optimized according to its specific lighting conditions and camera position, resolving the brightness uniformity issue while maintaining complete coverage.
2Illumination intensity
If dynamic region of interest adjustment is implemented to adapt to varying light levels, then brightness and color consistency is improved, but system complexity and processing time increase
Solution Approach 1:
The patent implements preliminary action by pre-defining the regions of interest and their corresponding adjustment parameters before image capture. The ROIs are determined based on expected lighting conditions and camera positions, and the brightness/color adjustment parameters are pre-calculated. This eliminates the need for complex real-time dynamic adjustment, reducing system complexity while maintaining brightness consistency.
3Productivity
If pre-defined fixed regions of interest are used for brightness and color adjustment, then processing time is reduced and system complexity is minimized, but adaptability to different lighting conditions and vehicle models decreases
Solution Approach 1:
The patent achieves universality by designing a ROI definition system that can be applied across different vehicle models and camera configurations. The method uses standardized parameters and algorithms that can be universally implemented, allowing the same system to work with various vehicle types, camera positions, and lighting conditions without requiring model-specific customization, thus maintaining both processing efficiency and adaptability.
Data Source
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AI summary
The system comprises a plurality of cameras (1, 2, 3, 4), wherein a first camera (1) is configured to acquire a first captured image and a second camera (2) is configured to acquire a second captured image, the first captured image and the second captured image being at least partially overlapped; at least one controller (5, 11, 12, 13, 14) configured to receive and combine at least the first captured image and the second captured image for providing the composite image; and the system is configured to define a first region of interest (ROI-1) within the first captured image and a second region of interest (ROI-2) within the second captured image; and to detect the brightness and/or color of at least the first and second region of interest (ROI-1, ROI-2) to adjust the brightness and/or color of at least the first and second captured image before being combined.