Vehicle Lighting Image Management for CAN-FD Bandwidth Conflicts
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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 reduced display quality and increased data compression impacts, which is insufficient for maintaining user comfort, especially for adaptive driving beams and road markings.
Innovation Solution
A method for managing image data in vehicle lighting systems that dynamically adjusts the combination of lighting functions based on compression rates and error levels, allowing temporary prohibition of function combinations to maintain high compression levels within bandwidth limits, prioritizing critical functions like adaptive driving beams over road markings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple lighting functions are transmitted simultaneously over CAN-FD network, then lighting system functionality is improved, but data transmission bandwidth is exceeded due to limited network capacity
Solution Approach 1:
The patent segments the transmission of lighting function data by implementing a prioritization mechanism that divides data transmission into critical and non-critical functions. Critical functions (ADB, RW) are transmitted with higher priority and protected from compression, while non-critical functions are compressed or delayed, thereby managing bandwidth consumption while maintaining essential lighting capabilities.
Solution Approach 2:
The patent dynamically changes the compression parameter based on network conditions and function priority. When bandwidth is available, higher compression rates are applied to non-critical functions; when bandwidth is constrained, compression is reduced or suspended for critical functions, thus adapting data transmission to available network capacity while preserving lighting system functionality.
2Productivity
If data compression is applied to reduce bandwidth consumption, then data transmission efficiency is improved, but image quality is degraded
Solution Approach 1:
The patent applies different quality levels to different lighting functions based on their criticality. Critical functions (ADB, RW) maintain high image quality with minimal or no compression, while non-critical functions accept lower quality with higher compression rates. This localized quality differentiation ensures that bandwidth is optimized without compromising the visual quality of essential lighting functions.
Solution Approach 2:
The patent dynamically adjusts the compression parameter based on function priority and available bandwidth. For critical functions, compression is minimized or disabled to preserve image quality. For non-critical functions, compression is applied adaptively, increasing compression when bandwidth is constrained and reducing it when bandwidth is available, thus balancing transmission efficiency with quality requirements.
3Manufacturing precision
If high-definition image data is transmitted to achieve high lighting resolution, then lighting beam quality is improved, but data transmission requirements exceed CAN-FD network capacity
Solution Approach 1:
The patent applies different resolution and compression settings to different lighting functions. Critical functions that require high visual quality (ADB, RW) are transmitted with minimal compression to maintain high-definition characteristics, while non-critical functions use lower resolution or higher compression. This selective quality approach ensures that high-definition lighting beam quality is preserved where necessary while reducing overall data transmission requirements to fit within CAN-FD network capacity.
4Productivity
If compression rate is increased to fit data within bandwidth limits, then data transmission feasibility is improved, but display quality is reduced
Solution Approach 1:
The patent implements local quality differentiation by applying compression selectively based on function criticality. Critical functions (ADB, RW) are exempt from aggressive compression to maintain display quality, while non-critical functions undergo higher compression to achieve transmission feasibility. This localized approach ensures that display quality is preserved for functions where it matters most while enabling overall system transmission within bandwidth constraints.
Solution Approach 2:
The patent dynamically changes the compression parameter based on real-time assessment of function priority and bandwidth availability. For critical functions, compression is kept low or disabled regardless of bandwidth conditions to maintain display quality. For non-critical functions, compression is adjusted dynamically - increased when bandwidth is constrained to achieve transmission feasibility, and reduced when bandwidth is available to improve display quality.
Data Source
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AI summary
The application relates to a method for managing image data in a vehicle lighting system (SYS), the lighting system comprising: - at least one lighting module (MOD) capable of projecting lighting functions on the basis of compressed image data, and - a multiplexed bus (CAN) for transmitting compressed image data to the at least one lighting module (MOD), the method comprising the following steps: - receiving an instruction to trigger a first lighting function (ADB); - receiving an instruction to trigger a second lighting function (RW) to be generated simultaneously with the first lighting function (ADB); - determining a compression rate required (TxCompReq) for transmitting the image data on the multiplexed bus (CAN); - comparing the determined compression rate (TxCompReq) with a predetermined compression rate value (TxO); wherein, when the determined compression rate (TxCompReq) is greater than or equal to the predetermined value (TxO), the method comprises the step of: - compressing the image data of the first (ADB) and second (RW) functions for simultaneously generating the first (ADB)) and second (RW) lighting functions; and wherein, when the determined compression rate (TxCompReq) is lower than the predetermined value (TxO), the method comprises the following steps: - compressing the image data of only one of the first (ADB) and second (RW) lighting functions.