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Agenda Introduction Predictive Simulation Simulated Sensors for AV - PowerPoint PPT Presentation

P R E D I C T I V E R E N D E R I N G S I M U L AT I O N F O R I N D U S T R I A L C A S E S N ICOLAS D ALMASSO | I NNOVA TION D IRECTOR www.optis-world.com Agenda Introduction Predictive Simulation Simulated Sensors for AV Optis Overview


  1. P R E D I C T I V E R E N D E R I N G S I M U L AT I O N F O R I N D U S T R I A L C A S E S N ICOLAS D ALMASSO | I NNOVA TION D IRECTOR www.optis-world.com

  2. Agenda Introduction Predictive Simulation Simulated Sensors for AV ▪ Optis Overview ▪ Importance of Accurate Engine ▪ Physics-based Camera Sensor ▪ T owards 0-Physical Prototypes ▪ Importance of Accurate Input ▪ Physics-based Lidar Sensor ▪ Product Portfolio ▪ Importance of Accurate Restitution ▪ Physics-based Ultrasonic and Radar Sensors (not covered in this slideset) ▪ Practical Example Nicolas Dalmasso | Innovation Director Predictive Simulation for Industrial Applications 26/03/2018 2

  3. OPTIS Overview … OPTIS Nicolas Dalmasso | Innovation Director Predictive Simulation for Industrial Applications 26/03/2018 3

  4. OPTIS Companies … …A LL AROUND THE WORLD Nicolas Dalmasso | Innovation Director Predictive Simulation for Industrial Applications 26/03/2018 4

  5. C OMPUTER O PTICS A COUSTICS S CIENCE Nicolas Dalmasso | Innovation Director Predictive Simulation for Industrial Applications 26/03/2018 5

  6. A 0-P HYSICAL P ROTOTYPE E XPERIENCE  E NHANCE CREATIVITY R EPLACING  E XPERIENCE TO IMPROVE Q UALITY PHYSICAL  S AVE TIME AND MONEY PROTOTYPES TO …  C OMMUNICATE EASILY  R EDUCE ECOLOGICAL FOOTPRINT Nicolas Dalmasso | Innovation Director Predictive Simulation for Industrial Applications 26/03/2018 6

  7. A GROWING PORTFOLIO OF BRANDS S OUNDSIMULA L IGHT & M ATERIAL & R EAL - TIME H UMAN - INTEGRA D P ERCEIVED Q UALITY TION VISION TED YNAMIC DRIVING P ERCEPTION S IMULATION C OLOR SCANNER 3D M ANUFACTURING E XPERIENCE E V VISUALIZA TION ALUA TION Nicolas Dalmasso | Innovation Director Predictive Simulation for Industrial Applications 26/03/2018 7

  8. Quick lesson of optics How light works in real life vs How light works in SPEOS Light carries energy defined by spectrum in straight line, Light carries energy defined by spectrum in straight line, ▪ ▪ ▪ Path modified according to optical properties of materials it ▪ Path modified according to optical properties of materials it encounters, encounters, Until it reaches the human eye to be interpreted as color and Until it reaches the luminance detector to be interpreted as ▪ ▪ intensity color and intensity 𝑆(θ, λ) Name | Job Title Presentation title 26/03/2018 8

  9. Predictive means being Exhaustive ▪ Predictive means Accurate Engine ( ie energy based, spectral based ) ▪ Predictive means Accurate Inputs ( ie measurement and Spec sheet based ) ▪ Predictive means Accurate Restitution ( ie calibrated LCD, calibrated ToneMapping, HDR+ displays ) Nicolas Dalmasso | Innovation Director Predictive Simulation for Industrial Applications 26/03/2018 9

  10. Brief History of Optis in Predictive Rendering ▪ From Optical design to Energy Propagation Legacy technology of OPTIS was Optical Design through Sequential Raytracing Then Optis developped Non Sequential Propagation for energy calculation = Photometry ▪ Photometry Science of the measurement of light as perceived by the human eye. Mainly used to create and validate lighting systems. Derived from radiometry which is measurement of light. Completed by Colorimetry which separates the Photometric perception of the human eye according to its cones/rod tristimulus 1994 : Photometry Nowadays What actually changed ? Moore’s Law ! Nicolas Dalmasso | Innovation Director Predictive Simulation for Industrial Applications 26/03/2018 10

  11. The Importance of Accurate Engine ▪ Spectral data and computations all along the process Surfaces and Volumes : Measured spectral BRDF ▪ Lightsources : Flux/Luminance ( energy ), Spectrum, Intensity diagrams, Spectral Sky, Polarization ▪ Renderers : Rasterizer ( OpenGL ), Deterministic Raytracing ( CUDA ), CPU/GPU Raytracing ( OptiX ) ▪ ▪ Human Vision and Camera Sensors simulation for accurate result restitution Nicolas Dalmasso | Innovation Director Predictive Simulation for Industrial Applications 26/03/2018 11

  12. Nicolas Dalmasso | Innovation Director Predictive Simulation for Industrial Applications 26/03/2018 12

  13. The Importance of Accurate Inputs – Surface Properties ▪ BxDF (BRDF, BSDF, BTDF, …) , and beyond ! ▪ Predictive requires measurement ▪ No model fit : RAW measurement used for accuracy at all angles Optis developped its own brdf acquisition devices ▪ OMS4 :10^12 dynamics ▪ ▪ OMS2 : 1 minute HD BRDF acquisition ▪ HD BRDF : 360 ° capture, high dynamics, wavelength dependent Iridescence ▪ Anisotropy ▪ BTDF / BSDF ▪ ▪ Unpolished surfaces ▪ Polarizer, coating, grating, retroreflecting Nicolas Dalmasso | Innovation Director Predictive Simulation for Industrial Applications 26/03/2018 13

  14. The Importance of Accurate Inputs – Surface Properties Nicolas Dalmasso | Innovation Director Predictive Simulation for Industrial Applications 26/03/2018 14

  15. The Importance of Accurate Inputs – Volume Properties ▪ Volume Materials ▪ Spectral IoR ▪ Spectral linear absorption ▪ Volume scattering ( MIE, Heinwey Greenstein, with wavelength dependent phase function ) Transparent, translucid, smoky, foggy, milky ▪ Birefringent, fluorescent ▪ ▪ As always we ensure Energy Conservation all along the computations Nicolas Dalmasso | Innovation Director Predictive Simulation for Industrial Applications 26/03/2018 15

  16. The Importance of Accurate Inputs – Volume Properties Nicolas Dalmasso | Innovation Director Predictive Simulation for Industrial Applications 26/03/2018 16

  17. The Importance of Accurate Restitution ▪ Result map is Radiometric : energy stored per pixel ▪ Photometric : amount of light as seen by human eye ▪ Colorimetric : accurate color info, even if display cannot show ▪ ▪ Spectral : stored per pixel for deeper analysis ▪ Layered per source : accurate dimming postprocessing Possible accurate Human Vision based tone mapping and Spectral Camera simulation ▪ ▪ Accurate display Does not exist, Wide Gamut / Wide dynamic, Away from any ambient light ▪ Nicolas Dalmasso | Innovation Director Predictive Simulation for Industrial Applications 26/03/2018 17

  18. Practical Example – Our office in T oulon ▪ Accurate Geometry ▪ Accurate Inputs Materials ▪ Light sources ▪ Natural light ▪ ▪ Accurate Simulation ▪ Accurate Results ▪ Accurate Reality ▪ The meaning of Predictive Nicolas Dalmasso | Innovation Director Predictive Simulation for Industrial Applications 26/03/2018 18

  19. Practical Example – Accurate Geometry ▪ Our French branch Office 2 nd stage of a building ▪ South of France ( stable sunny weather ) ▪ ▪ Modeled in CAD software for high accuracy dimensions ▪ Using high accuracy measurement tools (well, +/- 1mm) Nicolas Dalmasso | Innovation Director Predictive Simulation for Industrial Applications 26/03/2018 19

  20. Practical Example – Accurate Inputs ▪ Materials BRDF acquisition through our acquisition devices ▪ ▪ OMS2 BRDF is 2 minutes to get ▪ Glass modeled from Spectral Index of Refraction and Spectral Absorption ▪ Light Sources ▪ Neon tubes from datasheet Whole lighting system modelized ▪ LCD from measurement ▪ ▪ Natural Light ▪ GPS coordinates of Optis HQ location ▪ Date ( year/month/day/hour/minute ), 2012/03/20 at 10:10 am ▪ HDR capture of the surrounding Nicolas Dalmasso | Innovation Director Predictive Simulation for Industrial Applications 26/03/2018 20

  21. Practical Example – Accurate Results ▪ Luminance value per pixel ▪ Colorimetry per pixel ▪ Human vision management ▪ Source layering ▪ Post-process filtering Nicolas Dalmasso | Innovation Director Predictive Simulation for Industrial Applications 26/03/2018 21

  22. Practical Example – 1 Simulation, Multiple Results • Daytime, Sun Nicolas Dalmasso | Innovation Director Predictive Simulation for Industrial Applications 26/03/2018 22

  23. Practical Example – 1 Simulation, Multiple Results • Daytime, no Sun, no Light Nicolas Dalmasso | Innovation Director Predictive Simulation for Industrial Applications 26/03/2018 23

  24. Practical Example – 1 Simulation, Multiple Results • Daytime, all sources on Nicolas Dalmasso | Innovation Director Predictive Simulation for Industrial Applications 26/03/2018 24

  25. Practical Example – 1 Simulation, Multiple Results • Nighttime, all sources on Nicolas Dalmasso | Innovation Director Predictive Simulation for Industrial Applications 26/03/2018 25

  26. Practical Example – 1 Simulation, Multiple Results • Nighttime, only displays on Nicolas Dalmasso | Innovation Director Predictive Simulation for Industrial Applications 26/03/2018 26

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