Vehicle Lighting Image Compression for Bandwidth-Limited CAN-FD
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Solution Overview
Problem
Current vehicle lighting systems face challenges in transmitting high-definition image data due to limited bandwidth in CAN-FD networks, leading to inadequate data compression methods that degrade display quality, particularly for critical lighting functions like adaptive driving beams and road writing.
Innovation Solution
A method for managing image data in vehicle lighting systems that involves compressing only a portion of the image data, specifically selecting and compressing every N rows out of L rows, and transmitting these compressed data via a multiplexed bus, allowing for increased compression while maintaining good image quality and adhering to bandwidth constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If multiple light sources are used to generate high-definition light beams, then the resolution and quality of the light beam is improved, but the amount of data to be transmitted increases significantly
Solution Approach 1:
The image data is segmented into multiple light source data sets, with each light source receiving only the specific data it needs to generate its portion of the light beam. This segmentation reduces the total data volume transmitted while maintaining the high-definition resolution of the combined light beam.
2Productivity
If data compression is applied to reduce bandwidth usage, then the transmission efficiency is improved, but the display quality of the lighting functions is degraded
Solution Approach 1:
Different compression strategies are applied to different portions of the image data based on their importance. Critical regions that define the lighting function characteristics are preserved with higher quality, while less critical areas undergo more aggressive compression. This local differentiation maintains display quality for essential lighting functions while improving overall transmission efficiency.
3Quantity of substance
If the bandwidth of the data transmission network is increased, then the data transmission capacity is improved, but the system complexity and cost increase
Solution Approach 1:
Instead of increasing the bandwidth of the entire data transmission network, the invention applies partial compression to only the necessary portions of the image data. This partial action approach achieves the required transmission capacity without the complexity and cost of upgrading the entire network infrastructure.
4Quantity of substance
If known compression methods are applied to high-definition image data, then the data volume is reduced, but the bandwidth requirements are still not met for high-definition lighting functions
Solution Approach 1:
The image data is divided into multiple segments corresponding to different light sources and their respective zones. Each segment is compressed independently using optimized compression algorithms, achieving higher overall compression ratios that meet the bandwidth constraints while preserving the quality necessary for high-definition lighting functions.
Data Source
AI summary
A method for managing image data in a vehicle lighting system, the lighting system including a lighting module and a multiplexed bus for transmitting compressed image data to the lighting module. The method includes receiving an instruction to trigger a lighting function, the lighting function being configured to be generated by the lighting module from compressed image data corresponding to lighting patterns having L rows, L being an integer. Determining the image data to be compressed from among the image data of the lighting patterns of the at least one lighting function by selecting the image data of X rows from the L rows of the lighting patterns, X being an integer smaller than L. Compressing the image data determined as having to be compressed. Transmitting the compressed image data to the lighting module via the multiplexed bus in order for the lighting function to be generated and projected.