Matrix Headlight Control via Parallel Processing Units
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Solution Overview
Problem
High-resolution headlight systems with numerous independently controlled light sources face computational challenges due to increased computing power requirements, making current processor performance inadequate for efficient actuation, especially in systems with 10,000 or more lighting segments.
Innovation Solution
Implementing a control device with multiple parallel computing units that execute calculations independently for each lighting segment, utilizing SIMD or MIMD architectures, and leveraging a graphics processor to handle the parallel processing of control parameters for each segment, allowing for efficient determination and actuation of lighting brightness across a matrix of light sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the number of independently controlled light sources is increased to achieve higher resolution and more flexible light distribution, then the adaptability and lighting precision are improved, but the computing power requirements and device complexity increase beyond current processor capabilities
Solution Approach 1:
The headlight system is divided into multiple independently controllable lighting segments arranged in a matrix, where each segment can be actuated separately. This segmentation allows the complex light distribution task to be broken down into smaller, manageable control units that can be processed in parallel, reducing the computational burden on the processor while maintaining high adaptability.
Solution Approach 2:
The patent transitions from sequential processing to parallel processing by utilizing multiple computing units that operate simultaneously. This dimensional change in computation approach allows the system to handle the increased number of lighting segments without proportionally increasing the computational complexity for each individual segment.
2Speed
If the clock speed of the processor is increased to provide adequate computing performance for high resolution headlight systems, then the processing speed is improved, but the energy consumption and cooling requirements increase
Solution Approach 1:
The processing task is segmented across multiple computing units that operate in parallel at lower clock speeds, rather than requiring a single high-speed processor. This distribution of computational workload reduces the energy consumption per processing unit while maintaining overall system processing speed.
Solution Approach 2:
Multiple computing units are merged into a unified parallel processing architecture, where each unit contributes to the overall computation. This combining of multiple lower-power processing elements achieves the necessary throughput without the energy penalties of a single high-power processor.
3Measurement precision
If a single high-performance processor is used to handle all computing steps for numerous lighting segments, then the control precision is improved, but the device complexity and cost increase
Solution Approach 1:
The control system is segmented into multiple computing units, each responsible for specific lighting segments. This segmentation maintains control precision by dedicating computational resources to specific regions while avoiding the need for a single overly complex processor.
Solution Approach 2:
The computing units are designed with universal functionality to handle various computing steps for different lighting segments. Each unit can perform multiple operations (brightness calculation, positioning, timing) rather than requiring specialized hardware for each function, reducing overall system complexity.
Data Source
AI summary
A motor vehicle having at least one headlight for illuminating the surroundings of the motor vehicle and a control device for controlling the headlight, wherein the headlight comprises a plurality of lighting segments that are arranged in the manner of a matrix and that can be actuated separately by the control device for providing a lighting brightness that can be predefined separately for the individual lighting segments, wherein the control parameter predefining the specific lighting brightness for each of the lighting segments can be calculated by the control device in at least one computing step as a function of input parameters that can be provided by at least one vehicle device, wherein the computing step or at least one of the computing steps may be executed in parallel by the control device for a plurality of the lighting segments.