WO2022207583A1 - Procédé de gestion des données d'image et dispositif d'éclairage automobile - Google Patents

Procédé de gestion des données d'image et dispositif d'éclairage automobile Download PDF

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Publication number
WO2022207583A1
WO2022207583A1 PCT/EP2022/058183 EP2022058183W WO2022207583A1 WO 2022207583 A1 WO2022207583 A1 WO 2022207583A1 EP 2022058183 W EP2022058183 W EP 2022058183W WO 2022207583 A1 WO2022207583 A1 WO 2022207583A1
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WO
WIPO (PCT)
Prior art keywords
pixels
pixel
representative value
lighting device
breaking
Prior art date
Application number
PCT/EP2022/058183
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English (en)
Inventor
Yasser ALMEHIO
Constantin PRAT
Haffid EL IDRISSI
Original Assignee
Valeo Vision
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Valeo Vision filed Critical Valeo Vision
Publication of WO2022207583A1 publication Critical patent/WO2022207583A1/fr

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Classifications

    • HELECTRICITY
    • H05ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05BELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B45/00Circuit arrangements for operating light-emitting diodes [LED]
    • H05B45/10Controlling the intensity of the light
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60QARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
    • B60Q1/00Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor
    • B60Q1/02Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments
    • B60Q1/04Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments the devices being headlights
    • B60Q1/14Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments the devices being headlights having dimming means
    • B60Q1/1407General lighting circuits comprising dimming circuits
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F21LIGHTING
    • F21SNON-PORTABLE LIGHTING DEVICES; SYSTEMS THEREOF; VEHICLE LIGHTING DEVICES SPECIALLY ADAPTED FOR VEHICLE EXTERIORS
    • F21S41/00Illuminating devices specially adapted for vehicle exteriors, e.g. headlamps
    • F21S41/10Illuminating devices specially adapted for vehicle exteriors, e.g. headlamps characterised by the light source
    • F21S41/14Illuminating devices specially adapted for vehicle exteriors, e.g. headlamps characterised by the light source characterised by the type of light source
    • F21S41/141Light emitting diodes [LED]
    • F21S41/151Light emitting diodes [LED] arranged in one or more lines
    • F21S41/153Light emitting diodes [LED] arranged in one or more lines arranged in a matrix

Definitions

  • This invention is related to the field of automotive lighting devices, and more particularly, to the management of the electronic data derived from the control of the lighting sources.
  • Current lighting devices comprises an increasing number of light sources which has to be controlled, to provide adaptive lighting functionalities.
  • the invention provides a solution for these problems by means of a method for managing image data in an automotive lighting device, the method comprising the steps of
  • the main advantage of this method is the increase in the compression rate without a significant loss of quality, due to the optimization in the localization of the breaking pixels.
  • the abovementioned method provides a fast and reliable way of extending the segment until the conditions are not met, thus providing a lower amount of data compared to the original pixels replaced thereby, especially when the image pattern is referred to a high beam pattern.
  • the pseudo-Gaussian shape of the row patterns also contributes to the compression rate being increased, since there are some portions of the row pattern which can be replaced by a linear approximation without a significant loss in data.
  • the light pixels of the image pattern are grey scale pixels, and more particularly, the luminous intensity of each pixel is according to a scale from 0 to 255.
  • Light modules usually define the light pattern on a grey scale, where the luminous intensity is graded from 0 to 255. This is a way of quantifying the light pattern so that it becomes able to be converted into light data, and then transmitted and managed by the control unit of the vehicle.
  • the number of intensity ranges is comprised between 4 and 20.
  • a low number of intensity ranges will substantially increase the compression rate, since they will have less breaking points and they will have more chance to be linearized with less loss.
  • a higher number of intensity ranges will increase the quality, reducing the data loss, but at the expense of reducing the compression rate.
  • the number of breaking points will be decisive for the equilibrium between a high compression rate but at a higher data loss and a lower compression rate but at a lower data loss.
  • the step of finding pixels with a representative value different from the representative value of an adjacent pixel it may mean that the pixel has an adjacent pixel in the adjacent row pattern which has a different representative value. But an entire row pattern may have the same representative value. If the adjacent row pattern has a different representative value, this would provide that all the pixels of a row pattern would be selected as breaking pixels, which is not necessary.
  • a substep of selecting the relevant breaking pixels is useful since it reduces the number of breaking pixels (increasing the compression rate) but without any further data loss, since all those breaking pixels of the same row pattern do not add any valuable information.
  • the two characterizing values are the numeric value of one of the breaking pixels limiting the linear segment and the distance between the two breaking pixels limiting the linear segment.
  • the breaking points are selected as key points where the gradient of the luminous intensity suffers a substantial change. These breaking points are used to keep these changes, so that the quality of the image is not lost.
  • To reconstruct the linear approximation it is enough to keep the intensity value of a first breaking point (the origin of the linear segment) and the number of pixels until the next breaking point (where the linear segment ends).
  • the value of the luminous intensity in this end of the linear segment will be provided by the intensity value of the next breaking point, which will be stored since it is the origin of the next linear segment. Thus, data is saved and the compression rate is improved.
  • all the intensity ranges have the same size.
  • the method further comprises the step of decompressing the compressed data.
  • This step is convenient when the original image is to be projected by the light module.
  • the compressed data is related only to a particular portion of the image pattern.
  • This cropping step is useful when a big portion of the image is completely dark, so that the compression stage is focused only on the portion which include representative values.
  • This lighting device is able to operate with a lower bandwidth than the traditional ones.
  • the light module further comprises a processor unit, the processor unit being configured to decompress the compressed data.
  • solid state refers to light emitted by solid-state electroluminescence, which uses semiconductors to convert electricity into light. Compared to incandescent lighting, solid state lighting creates visible light with reduced heat generation and less energy dissipation.
  • the typically small mass of a solid-state electronic lighting device provides for greater resistance to shock and vibration compared to brittle glass tubes/bulbs and long, thin filament wires. They also eliminate filament evaporation, potentially increasing the life span of the illumination device.
  • Some examples of these types of lighting comprise semiconductor light-emitting diodes (LEDs), organic light-emitting diodes (OLED), or polymer light-emitting diodes (PLED) as sources of illumination rather than electrical filaments, plasma or gas.
  • FIG. 1 shows a first image of the photometry of a high beam module which is projected by an automotive lighting device according to the invention.
  • FIG. 1 shows a portion of a pixel matrix representing an example of photometry.
  • FIG. 1 shows a representation of a row pattern of a method according to the invention.
  • FIG. 1 shows an automotive lighting device according to the invention.
  • FIG. 1 shows a first image of the photometry of a high beam module which is to be projected by an automotive lighting device according to the invention.
  • This first image may be divided into pixels and each pixel may be characterized by its luminous intensity, in a scale from 0, which would correspond to black, to 255, which would correspond to white.
  • image pattern 1 shows a portion of such a pixel matrix, called image pattern 1.
  • Each pixel 3 of this image pattern 1 is characterized by a number according to the aforementioned scale.
  • the compression of this image pattern 1 according to commercially available software products would offer a compression rate lower than 50%, which is unacceptable by some car manufacturers.
  • each pattern comprises a string of data, with numbers between 0 and 255, depending on the luminous intensity of the associated pixels.
  • numeric values of these pixels are a simplified example, merely chosen for the sake of a better understanding of the invention, they do not correspond to the luminous intensity of the light pattern of .
  • each pixel shows a further step in a method according to the invention.
  • a plurality of intensity ranges are provided to quantize the original intensity values, so that the original intensity value of each pixel is replaced by a representative value 8, so that each pixel is now characterized by one representative value 8.
  • each pixel could adopt any value from 0 to 255.
  • the intensity values are classified in, for example, eight different ranges
  • This quantization step is performed just to find out the best breaking points, to perform a linearization of the original light map.
  • the quantized map is not sent to the lighting device for its projection, it is just used as an intermediate step.
  • Each quantized section has a boundary 9, which is defined by pixels having a representative value of the pixel different from the representative value of an adjacent pixel.
  • a particular embodiment of the method of the invention would comprise the step of calculating a gradient for each pixel of this row pattern.
  • this lighting device comprising:
  • This light module would achieve a good quality projection with an improved transmission bandwidth.

Abstract

L'invention concerne un procédé de gestion de données d'image dans un dispositif d'éclairage automobile (10). Ledit procédé comprend les étapes consistant à fournir un motif d'image (1), à diviser le motif d'image (1) en lignes ou en colonnes de pixels (2), à calculer une première valeur de gradient liée à la relation entre la valeur numérique d'un premier pixel et la valeur numérique d'un pixel adjacent, à contrôler, pour chaque pixel, si la différence entre la valeur de gradient correspondante et le premier gradient remplit une condition parmi une première et seconde condition, à définir des segments linéaires, à compresser les données des segments linéaires et à envoyer les données compressées au module lumineux. L'invention concerne également un dispositif d'éclairage automobile (10) permettant de réaliser les étapes d'un tel procédé.
PCT/EP2022/058183 2021-03-31 2022-03-28 Procédé de gestion des données d'image et dispositif d'éclairage automobile WO2022207583A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
FR2103375 2021-03-31
FRFR2103375 2021-03-31

Publications (1)

Publication Number Publication Date
WO2022207583A1 true WO2022207583A1 (fr) 2022-10-06

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ID=81326882

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Application Number Title Priority Date Filing Date
PCT/EP2022/058183 WO2022207583A1 (fr) 2021-03-31 2022-03-28 Procédé de gestion des données d'image et dispositif d'éclairage automobile

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5327254A (en) * 1992-02-19 1994-07-05 Daher Mohammad A Method and apparatus for compressing and decompressing image data
US5598214A (en) * 1993-09-30 1997-01-28 Sony Corporation Hierarchical encoding and decoding apparatus for a digital image signal
WO2004034183A2 (fr) * 2002-08-21 2004-04-22 Gentex Corporation Procedes d'acquisition et de traitement d'images pour commande automatique de l'eclairage exterieur d'un vehicule
DE102008062639A1 (de) * 2008-12-17 2010-06-24 Daimler Ag Ansteuerverfahren für einen Fahrzeugscheinwerfer und Beleuchtungseinrichtung für ein Fahrzeug
WO2015193042A1 (fr) * 2014-06-19 2015-12-23 Koninklijke Philips N.V. Détection de lumière à codage de plage dynamique élevée

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5327254A (en) * 1992-02-19 1994-07-05 Daher Mohammad A Method and apparatus for compressing and decompressing image data
US5598214A (en) * 1993-09-30 1997-01-28 Sony Corporation Hierarchical encoding and decoding apparatus for a digital image signal
WO2004034183A2 (fr) * 2002-08-21 2004-04-22 Gentex Corporation Procedes d'acquisition et de traitement d'images pour commande automatique de l'eclairage exterieur d'un vehicule
DE102008062639A1 (de) * 2008-12-17 2010-06-24 Daimler Ag Ansteuerverfahren für einen Fahrzeugscheinwerfer und Beleuchtungseinrichtung für ein Fahrzeug
WO2015193042A1 (fr) * 2014-06-19 2015-12-23 Koninklijke Philips N.V. Détection de lumière à codage de plage dynamique élevée

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