Vehicle Lighting Image Compression Using Pixel Inflection Points
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Modern vehicle lighting systems face challenges in transmitting high-definition image data due to limited bandwidth in CAN protocol data buses, leading to reduced display quality and user experience, especially for adaptive driving beams and road writing functions.
Innovation Solution
A method for managing image data in vehicle lighting systems that involves compressing pixel data by identifying significant points of inflection and transmitting only these points, followed by decompression using various interpolation methods to maintain display quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-definition image data is transmitted over CAN protocol data bus, then lighting resolution and quality are improved, but bandwidth limitations cause data transmission difficulties
Solution Approach 1:
The patent extracts and transmits only the most relevant pixel data (significant points of inflection) rather than complete high-definition image data. This selective extraction allows maintaining lighting quality while reducing data volume to fit within CAN bus bandwidth limitations.
Solution Approach 2:
The patent transforms image data from a complete high-resolution format to a compressed format based on gradient thresholds and significance criteria. By changing the data representation parameters (from all pixels to only significant points), the system achieves both quality preservation and bandwidth compliance.
2Quantity of substance
If data compression is applied to reduce bandwidth usage, then transmission capacity is improved, but display quality is degraded
Solution Approach 1:
The patent applies different treatment to different regions of the image data based on their significance. High-gradient areas (edges, transitions) are preserved with high fidelity, while low-gradient areas are compressed or omitted. This local differentiation maintains overall display quality while achieving compression.
Solution Approach 2:
Instead of compressing all data uniformly, the patent applies compression selectively only to insignificant data points. By taking a partial action (compressing only non-critical data), the system achieves compression benefits without sacrificing essential display quality.
3Adaptability or versatility
If multiple light sources are used to achieve high-definition light beams, then lighting functionality is improved, but system complexity and synchronization requirements increase
Solution Approach 1:
The patent extracts only the essential control data needed for light source activation and intensity control, omitting redundant synchronization information. This selective data transmission simplifies the control system while maintaining multi-light-source functionality.
Data Source
AI summary
The invention provides a method for managing image data in a motor vehicle lighting system, the lighting system including at least one lighting module intended to project light beams, the light beams being generated from data relating to the selection of at least one image, each image being respectively defined by a matrix including a plurality of horizontal or vertical rows of pixels, with each pixel having a numerical value related to a light intensity of the pixel. The method includes determining whether the pixel under analysis is considered to be a significant point of inflection of the image, so as to transmit it to at least one lighting module, so that it is able to project a resulting image.