Vehicle Display Simulation for Faster Camera Calibration
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Solution Overview
Problem
Vehicle displays in modern vehicles often require iterative calibration processes to accurately depict image data from camera systems, which is time-consuming and inefficient due to unique display parameters.
Innovation Solution
A computer-implemented method and system that computes a gamma value based on vehicle statistics and display specifications, modifies look-up tables, and applies transformations to generate simulated image data for calibration, enabling precise image quality validation without physical hardware access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If iterative calibration process is used to adjust camera system image parameters and validate image quality on vehicle display, then image quality accuracy is improved, but calibration time and process complexity increase
Solution Approach 1:
The patent creates a virtual copy of the vehicle display system using a secondary display device that replicates the display characteristics, gamma values, and rendering behavior of the actual vehicle display. This virtual replica allows calibration to be performed without physical access to the vehicle display, enabling iterative adjustments to be made in advance and reducing on-site calibration time while maintaining image quality accuracy.
Solution Approach 2:
The patent performs calibration actions beforehand by pre-computing transformation look-up tables and generating simulated image data that represents what will be displayed on the vehicle display. This preliminary preparation allows the actual calibration process to be streamlined and reduced to simpler validation steps, significantly reducing the time required for iterative adjustment and validation.
2Measurement precision
If physical access to vehicle display hardware is required for calibration validation, then image quality validation accuracy is improved, but device complexity and operational difficulty increase
Solution Approach 1:
The patent replaces the need for physical access to the vehicle display with a secondary display device that is configured to replicate the display characteristics. This virtual replica allows calibration operations to be performed remotely through software simulation, maintaining validation accuracy while dramatically improving ease of operation by eliminating the need for physical hardware access and complex calibration equipment setup.
Solution Approach 2:
The patent introduces a simulation system as an intermediary between the calibration process and the actual vehicle display. This intermediary layer includes a processor that generates simulated image data and a secondary display that renders this data, allowing calibration operations to be performed through software rather than direct physical access to the vehicle display hardware, thus simplifying operations while maintaining accuracy.
3Measurement precision
If unique display parameters are calibrated for each vehicle model, then display image quality is improved, but manufacturing complexity and calibration resource requirements increase
Solution Approach 1:
The patent creates a universal calibration simulation system that can be applied across multiple vehicle models. The secondary display device and simulation software are designed to replicate various display characteristics and can be configured to match different vehicle display parameters through software settings, eliminating the need for separate physical calibration systems for each vehicle model while maintaining display image quality accuracy.
Solution Approach 2:
The patent uses a virtual copying approach where the same simulation infrastructure can be configured to represent different vehicle display models through software parameters. This allows a single calibration system to serve multiple vehicle models by loading different display characteristic data and generating appropriate simulated image data, thereby reducing manufacturing complexity and calibration resource requirements while maintaining image quality.
Data Source
AI summary
A computer-implemented method is executed by data processing hardware of a display calibration system in communication with a camera system of a motor vehicle that has a vehicle display. The method includes computing a first gamma value for a vehicle display based on at least one display specification or a vehicle statistic. Additionally, the method includes receiving a display look-up table, which is modified based on the computed first gamma value to generate a transformation look-up table. Image data from the camera system is received, and the transformation look-up table is applied to the image data to generate transformed image data. Simulated image data is generated based on the transformed image data, and this simulated image data is rendered at a display of the display calibration system. The rendered display corresponds to the vehicle display.