Vehicle Headlight Memory Reduction via Interpolation

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Solution Overview

Problem

Current vehicle headlight systems face challenges in efficiently managing memory requirements for high-resolution light distributions due to limited computing power and memory in embedded systems, which complicates the implementation of advanced lighting functions like adaptive light projection for varying traffic and road conditions.

Innovation Solution

The use of a light model represented by a plurality of support points, allowing for a significant reduction in memory requirements by interpolating image data, enabling high-resolution light distributions to be managed within conventional embedded systems, and utilizing semiconductor light sources like LEDs or laser diodes for efficient light generation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If high-resolution light distributions are projected onto the road surface, then the image resolution and lighting adaptability are improved, but the memory requirements and device complexity increase significantly

Engineering Contradiction:
Improveimage resolutionVSAvoidmemory requirements
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the high-resolution light distribution into multiple lower-resolution sub-images that are projected sequentially at different time points. Instead of requiring the embedded system to store and process one large high-resolution image simultaneously, the system divides the image into manageable segments that can be handled with limited memory resources, thus resolving the contradiction between image resolution and memory requirements.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent implements periodic projection of light distribution segments at different time points within a projection cycle. By using time-sequential projection rather than simultaneous projection of the complete high-resolution image, the system reduces the memory burden while maintaining the perception of high resolution through rapid sequential updating, effectively addressing the memory capacity limitation of embedded systems.

Inventive Principle:
Principle #19Periodic action

2Ease of manufacture

If the embedded system is customized with optimized hardware-software implementation, then cost is reduced, but computing power and memory are limited

Engineering Contradiction:
ImprovecostVSAvoidcomputing power
Core Design Contradiction:
Ease of manufactureVSPower

Solution Approach 1:

The patent segments the computational task of generating and processing high-resolution light distributions into smaller sub-tasks that can be executed sequentially. By dividing the image processing workload into manageable segments corresponding to time-sequential projections, the system reduces the peak computing power requirements, enabling cost-effective embedded system implementations with limited processing capabilities.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent uses periodic execution of processing tasks for different image segments at different time points, allowing the embedded system to reuse computational resources efficiently. This time-sequential approach reduces the need for high peak computing power, making it feasible to use lower-cost, less powerful embedded processors that can handle the distributed computational load over time.

Inventive Principle:
Principle #19Periodic action

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach drastically reduces memory needs, allowing for efficient operation within existing embedded systems, enabling quick adaptation of light distributions for different driving scenarios while maintaining high resolution and reducing computational complexity and costs.

Implementation Method 1

a light source (2, 12), in particular a semiconductor light source, configured to emit light

Methodology Applied
Scientific EffectLight emission: Light

Implementation Method 2

to modulate it by means of the at least one optoelectronic component (7, 17)

Methodology Applied
Scientific EffectLight modulation:

Implementation Method 3

at least one projection optic (4, 14), in particular a collimating projection optic, arranged in the emission direction of the vehicle headlight

Methodology Applied
Scientific EffectLight projection: Lens

Implementation Method 4

the image data are preferably generated from the support points by interpolation

Methodology Applied
Scientific EffectInterpolation:

Data Source

PatentEP3468839B1Vehicle headlight
Publication Date: 2021.11.03 ZKW GRP GMBH
  • EP3468839B1 patent drawingFigure 1~3
  • EP3468839B1 patent drawingFigure 4~5
  • EP3468839B1 patent drawingFigure 6~7

AI summary

The invention relates to a vehicle headlight (1) comprising a light source (2), a primary optical system (3), a projection optical system (4), a control device, an output unit and an optoelectronic component (7) having a controllable arrangement of several, individually adjustable optoelectronic elements (8) in the form of a two-dimensional matrix. Said vehicle headlight (1) is designed to emit light from at least one light source (2) in the direction of the optoelectronic component (7) and to modulate by means of the optoelectronic component (7), and to radiate at least partially in the direction of the projection optical system (4) and to form a light image in front of the vehicle. The control device is connected to the output unit. The output unit is connected to the optoelectronic component (7) and can control the optoelectronic elements (8). A light model is stored in the control device in the form of a plurality of protection points, and the control device is designed to form, from the light model, image data in the form of a two-dimensional matrix-shaped situation light distribution with a situational image resolution. The situational image resolution is essentially higher than the plurality of protective points of the light model. The image data is formed, preferably by interpolation from the protective points and can be represented on the optoelectronic component (7) by means of the output unit.