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AUTOMATED HEAD-UP DISPLAY MEASUREMENT · CAPTURING AND QUANTIFYING MULTIPLE DATA POINTS. Radiant...
Transcript of AUTOMATED HEAD-UP DISPLAY MEASUREMENT · CAPTURING AND QUANTIFYING MULTIPLE DATA POINTS. Radiant...
RadiantVisionSystems|AKonicaMinoltaCompanyRadiantVisionSystems|AKonicaMinoltaCompanyPresented by: | Date:AUTOMATED HEAD-UP DISPLAY MEASUREMENT
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TODAY’S TOPICS
• SAE Standards for Head-Up Displays• SAE J1757-2
• Measurement Requirements
• Technology to Enable Automation:• Electronically-Controlled Lens
• Line-Pairing Algorithm
• Full Field-of-View Imaging
• Multi-Test Sequencing Software
• Software Tests: TT-HUD Module
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2 – 29 MP CCD / Cooled / Temp. Stabilized
CIE Matched Color Filters
Electronic ND Filter Selection (colorimeter)
Electronic Lenses
On-Camera Calibration Data
USB & Ethernet Control
On-camera Touch Control (colorimeter)
• Auto-Lens Recognition• Electronic Zoom control• Electronic Aperture
selection• Auto-selection of
Calibration Data
IMAGING COLORIMETERS/PHOTOMETERS
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SAE STANDARD HUD MEASUREMENTBACKGROUND AND REQUIREMENTS
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HUD MEASUREMENT STANDARDS
Radiant has worked with SAE Committee to define new HUD Standard
§ SAE J1757-2 (WIP)§ “Optical Metrology for
Automotive HUD”
§ Imaging photometers implemented into the standard as a primary solution for HUD testing
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REQUIREMENTS FOR SAE STANDARD MEASUREMENT DEVICES
Optical meter camera § Measure luminance, chromaticity, uniformity§ NIST-traceable§ Example: Photometer
Distance meter§ Measure geometrical distance, direction,
angle, distortion§ Example: Smart Camera
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KEY HUD MEASUREMENT CHALLENGES
• Virtual image location and size
• Image resolution and contrast accuracy
• Number of tests and parameters per test image
• Enabling production-level automated measurement
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USING AN ELECTRONICALLY-CONTROLLED LENSGAUGING VIRTUAL IMAGE SIZE AND LOCATION
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Is the virtual image projected at the right location and at the correct size ?
HUD
LOOK DOWN ANGLE (a)
PROJECTION DISTANCE
SIZE
VIRTUAL IMAGE
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VIRTUAL IMAGE
PROJECTION DISTANCE = FOCAL DISTANCE
DEPTH OF FOCUS (DOF)
• Convert focal distance to “real distance” units
• Using focal distance, and virtual image size, the distance of the projected image can be output automatically by software
MEASURING PROJECTION DISTANCE
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OPTIMIZING FOCUS
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OPTIMIZING FOCUS
Out of Focus Better Focus Best Focus
Notice: Increasing slope on cross section plot (corresponding to decreasing blue region (between 10% and 90% of max grey value). Increasing focus bar (orange)
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Calibrated cameras provide absolute distance measurements
Electronically-controlled lenses determine projected image plane
§ Remove human calculation, error
§ Reduce time to set up measurements
CALCULATING ABSOLUTE MEASUREMENTS
f1
f2
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Calibrated cameras provide absolute distance measurements
Electronically-controlled lenses determine projected image plane
§ Remove human calculation, error
§ Reduce time to set up measurements
CALCULATING ABSOLUTE MEASUREMENTS
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DEPTH OF FOCUS
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LINE-PAIRING ALGORITHMSQUANTIFYING MODULATION FOR RESOLUTION AND CONTRAST OF PROJECTIONS
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HUD PROJECTOR (DLP) STRUCTURE
HUD
VIRTUAL IMAGE
CAMERA IN THE “EYE BOX”
DLP STRUCTURE
HUD Optics
DLP Optics D
MD
HUD Electronics
Source Image
Projected Image
Picture Generating Unit (PGU)
HUD Box
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PRESERVING IMAGE CLARITY
DMD
Micro-mirror array
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TESTING FOR MODULATION
Modulation = value that describes resolution + contrast
Modulation Transfer Function (MTF) determines the level of spatial frequency between contrasting areas
Testing is done using projections of horizontal and vertical pairs of black and white lines
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LINE-PAIRING ALGORITHM
Line-pairing algorithms quickly measure modulation between vertical and horizontal line pairs
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FULL FIELD-OF-VIEW IMAGINGCAPTURING AND QUANTIFYING MULTIPLE DATA POINTS
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REDUCE SETUP & MEASUREMENT TIME
Spot-based measurement requires multiple test points
Image-based measurement captures all data at once
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ACCOMPLISH MULTIPLE MEASUREMENTS AT ONCE
Required measurements for SAE J1757-1:
§ Uniformity§ Contrast§ Pixel count resolution§ Location / Size§ Ghosting§ Distortion / Alignment§ Modulation Transfer Function
(MTF) Measurement sequences performed on a single image by software paired with imaging solution
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OBTAIN DATA BASED ON CONTEXT
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INTRA-CHARACTER UNIFORMITY
Spot meter takes single-spot measurements at defined points.
Imaging enables software to measure entire symbol at once.
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• Quickly determine, Lv, Cx, Cy, pixel count, and much more.
• Run specific user-based pass/fail criteria against each analysis requirement
INTER-CHARACTER UNIFORMITY
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PIXEL RESOLUTION OF SYMBOLS
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CONTRAST
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GHOSTING
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DISTORTION
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TESTING FOR GHOSTING & DISTORTION
Test Pattern Measurement Image
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MULTI-TEST SEQUENCING SOFTWAREAUTOMATING TEST AND MEASUREMENT
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PRODUCTION-LEVEL MEASUREMENT
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SOFTWARE TEST SEQUENCING
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TESTS IN TRUETEST™ TT-HUD MODULE
Test Color? Pattern(s)
ANSI Brightness Photopic White 255, or desired pattern
Uniformity Color White 255
Diagonal Checkerboard Photopic Diagonal Checkerboard
Distortion Grid Photopic Grid (Dot and Line)
Warping Photopic Grid
Sequential Contrast Photopic Black, White; Checkerboard, Inverse Checkerboard
Eye Box Photopic Target
MTF Line Pair Photopic Line pairs (1 pixel, 2 pixel, etc)
Image Sticking Photopic Black, or low grey level
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ANSI BRIGHTNESS
This test averages the measured brightness of an image at the ANSI-9 points and compares these values against various Pass/Fail criteria.
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UNIFORMITYCreates NxN grid on image, and reports out average luminance of each grid point, as well as additional statistics (min, max, difference, etc.)
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DIAGONAL CHECKERBOARD CONTRAST
Places detectors on the black and white diamonds, reports the luminance values, calculates average black and white luminance, and reports ratio between the average black and white luminance.
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DISTORTION GRID
Reports out the position of each grid point, and in addition can measure the distance between points and pass/fail on this value.
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DISTORTION LINE GRID
Analysis finds the points where lines of a test image intersect and reports their location. Can also pass or fail a device based on the spacing of the intersection points of the pattern.
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WARPING
Test image has a white square directly in the center of the pattern. The analysis locates the white squares and reports the distance the center square to every other square.
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SEQUENTIAL CONTRAST
Takes measurement of Black, and White patterns. Compares luminance values of the entire image. Computes contrast ratio.
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EYEBOX
Looks for a continuous shape with no breaks. The line width is specified in the analysis for pass/fail.
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MTF LINE PAIRS
Measures the MTF of the line pairs in the image, reporting out the contrast of each region. The regions can be user defined (as shown) or a default can be used.
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IMAGE STICKING
A checkerboard pattern is used for the initial burn in, then a low grey level image is used. The analysis takes multiple images of the display over a user-specified time interval. The images are analyzed to determine the strength of the burn in pattern.
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ENABLING FULLY-AUTOMATED TESTING
HUD
VIRTUAL IMAGE
CAMERA IN THE “EYE BOX”
SERIES OF TEST IMAGESFOR EACH HUD TESTED
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SUMMARY
ü SAE J1757-2 standard will specify measurement devices for HUD evaluation
ü HUD measurement can be most efficiently met using systems with:
ü Electronically-controlled lenses for simplified image location
ü Built-in software algorithms for calculating Modulation Transfer Function (MTF) for visual image resolution and contrast
ü Imaging capability and multi-test sequencing software for meeting the maximum measurement criteria at once
ü Using these systems can enable fully-automated HUD measurement for application in production
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Working closely with world class brands and manufacturers to deliver creative visual inspection solutions that improve
quality, reduce costs, and increase customer satisfaction.
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