Automotive Lighting Image Data Compression with Gradient Segmentation
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Solution Overview
Problem
Current automotive lighting systems face inefficiencies in data management due to high bandwidth requirements for controlling multiple light sources, especially with high-resolution modules, as existing compression methods are not effective in reducing bandwidth sufficiently to meet manufacturer demands.
Innovation Solution
A method that divides image patterns into rows or columns of pixels, calculates gradient values, and defines linear segments based on specific conditions to compress data, allowing for efficient data transmission with reduced bandwidth needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If current compression methods are used for high beam patterns, then data transmission can be performed, but the compression rate is insufficient and bandwidth requirements remain high
Solution Approach 1:
The image pattern is divided into multiple row patterns, and each row pattern is further segmented into linear segments based on gradient analysis. This segmentation allows different compression strategies to be applied to different regions, achieving higher overall compression rates while maintaining image quality for high beam patterns
Solution Approach 2:
The patent changes the approach from direct pixel value transmission to transmitting gradient values and linear segment parameters. By transforming the data representation from absolute pixel intensities to relative gradient changes, the compression rate increases significantly for high beam patterns where adjacent pixels often have similar values
2Manufacturing precision
If high resolution light modules are used, then lighting quality is improved, but the amount of data to be managed increases significantly
Solution Approach 1:
High resolution image patterns are divided into row patterns and further into linear segments. By segmenting the high-resolution data, the patent enables efficient compression of each segment independently, reducing the overall data volume while preserving the high resolution quality needed for modern light modules
Solution Approach 2:
Instead of transmitting all pixel values for high resolution modules, the patent transmits gradient values and linear segment parameters. This parameter transformation dramatically reduces data volume while maintaining the ability to reconstruct high resolution images, making high resolution modules practical to manage
3Device complexity
If the bandwidth of CAN protocol is limited, then system constraints are met, but data transmission efficiency decreases
Solution Approach 1:
The patent transforms the data format from raw pixel values to gradient-based linear segment parameters. This parameter change enables much higher compression rates, allowing efficient data transmission even under strict bandwidth limitations of the CAN protocol, thereby maintaining productivity despite device complexity constraints
Solution Approach 2:
By segmenting the image data into linear segments with similar gradient characteristics, the patent enables efficient compression of each segment. This segmentation approach maximizes data reduction while maintaining transmission efficiency within the limited bandwidth of automotive CAN protocols
Data Source
AI summary
A method for managing image data in an automotive lighting device includes the steps of providing an image pattern, dividing the image pattern in rows or columns of pixels, and calculating a first gradient value related to the relation between the numeric value of a first pixel and the numeric value of an adjacent pixel. Also included is checking, for each pixel, if the difference between the corresponding gradient value and the first gradient fulfills one of a first or second condition, defining linear segments, compressing the data of the linear segments and sending the compressed data to the light module. The invention also provides an automotive lighting device for performing the steps of such a method.