Vehicle Camera Viewpoint Normalization for Unified Image Processing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Differences in camera setup and mounting constraints across various vehicle models lead to viewpoint discrepancies, affecting the performance of processing systems in automotive applications, particularly for fisheye cameras, which traditional systems struggle to accommodate.
Innovation Solution
A system that normalizes image data from multiple camera types and installations by converting viewpoint parameters using conversion information stored in a lookup table, allowing a single processing application to function across diverse vehicle models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If image data is acquired from multiple imaging devices with different manufacturers and models, then the quantity and variety of image data increases, but image quality inconsistency and artifacts increase
Solution Approach 1:
The patent applies parameter changes by transforming image data through normalization processes that adjust intensity values, contrast, and other parameters to a common reference scale. This allows images from different devices with varying parameters to be standardized, resolving the quality inconsistency while maintaining the benefit of having diverse image data sources.
Solution Approach 2:
The patent introduces an intermediary normalization process that acts as a mediator between images from different imaging devices. This intermediary step standardizes the images by applying transformation functions and reference comparisons, enabling consistent processing and analysis without requiring all images to originate from the same device.
2Manufacturing precision
If image normalization processing is performed to improve image quality consistency, then image quality consistency improves, but processing time increases
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing normalization parameters, reference images, and transformation functions before actual image processing. This allows the normalization process to execute more quickly during production, reducing processing time while maintaining quality consistency through the pre-prepared normalization framework.
Solution Approach 2:
The patent replaces complex mechanical or manual image adjustment processes with automated computational algorithms. By using software-based normalization with predefined transformation functions and reference comparisons, the system achieves quality consistency without the time-consuming manual intervention or complex hardware adjustments that traditional methods would require.
3Measurement precision
If advanced normalization algorithms are used to improve normalization accuracy, then normalization accuracy improves, but device complexity increases
Solution Approach 1:
The patent applies self-service by designing normalization algorithms that automatically adapt to different image types and devices without requiring complex manual configuration. The system self-calibrates using reference images and automatically determines appropriate transformation parameters, achieving high normalization accuracy while keeping the processing system relatively simple through automated self-adjustment capabilities.
Data Source
Figure 1
Figure 2A~2B
Figure 3A~3B
AI summary
A system for producing a virtual image view for a vehicle is provided. The system includes one or more image capture means configured to capture image data in proximity to the vehicle, the image data being defined at least in part by first viewpoint parameters, and to provide an identifier identifying the respective one or more image capture means, storage means configured to store a plurality of virtualization records containing conversion information related to a virtualized viewpoint and a plurality of image capture means, and processing means. The processing means are configured to receive the captured image data, convert the first viewpoint parameters of the captured image data into virtual viewpoint parameters based on the conversion information associated with a virtualization record stored by the storage means, to result in the virtual image view, wherein the virtualization record is identified at least based on the identifier, and execute at least one driver assistance and/or automated driving function based on the virtual image view.