Computer Graphics Imagery and simulation by GPU for Automotive Use cases Benoît DESCHAMPS. Imaging Solutions Team Leader - GTC 23/03/2013

Transcription

1 Computer Graphics Imagery and simulation by GPU for Automotive Use cases Benoît DESCHAMPS Imaging Solutions Team Leader - GTC 23/03/2013

2 Introduction Our activities : Virtual Reality and driving simulation Imaging Solutions. GPGPU in PSA : How to reduce the gap between physical mockup and virtual mockup Cloud Computing in PSA : How to reduce the time to compute virtual mockup and final production. The future of CGI. 2

3 Introduction Team from IT department of PSA In charge of Imaging solutions for all departments

4 Virtual Reality and driving simulation 4

5 VRC Systems CAVE -Holobench stem Configuration Inca6D haptic device Softwares 5

6 Dynamic and Static driving simulator Motion Base Display system 6

7 Visualization systems

8 Imaging Solutions 8

9 Design process Pilot Study Project implementation Architecture and sizing Detailed design Product and process development Marketing Styling Perceived quality Marketing Images CLASS-A Modeling After sales Digital factory Computing design 9

10 Imaging Solutions Real time rendering and offline rendering tools : 3D software RTT Deltagen Maya Dedicated tools Gravelling simulation Material aspect Repository A complete automatic data process from CAD to CGI VDM DIMO-Workshop application 10

11 Imaging solutions for different use cases Realtime rendering Virtual reality Offline rendering Car configurator After sales

12 GPGPU in PSA to reduce the gap between physical mockup and virtual mockup 12

13 GPGPU In PSA R&D : Sketch rendering and light effect by Optix Gravelling simulation Realtime ray tracing & interactive GI Windshield simulation by CUDA Physical HMI simulation Find car paint default by video analysis Realtime GI Gravelling simulation Realtime ray tracing & interactive GI Physical HMI simulation Realtime GI In Production: 13

14 Gravelling Simulation R&D 2007 : Goal: To demonstrate the capability of GPU for simulation. Combine realtime rendering and simulation : Used in production R&D 2010 : Ray Tracing on GPU 14

15 Gravelling Simulation CPU versus GPGPU Frame Buffer Object «Lightmaps» CPU Algorithm Versus GPGPU Algorithm 15

16 ms 16

17 ms 17

18 Same approach for other use case Link between simulation with real-time rendering. 18

19 19

20 20

21 Research & Development EaViMock FrameWork, internal development based on : Nvidia SceniX to manage 3D Scenes. Dual material shading: CgFx, RTFx Qtfor GUI. Plugin based architecture. With this tools, we can developa proof of concept in 1 day. Prototyping and advanced partnership about accurate rendering with RealTimeTechnology. 21

22 Beauty Shot Versus Real Shot Beauty Shot: Communication, Marketing. By CGI Artists. Not always the reality but the emotional link with the vehicle. Real Shot: Evaluate the vehicle before the physical mockup. To make decisions: we need to challenge the physical mockup. 22

23 Beauty Shot Citroën Tubik by Virtual Lab 23

24 Beauty Shot Peugeot HX1 Concept by Pro Lab 24

25 Perceived Quality Review Where is the CGI? 25

26 Perceived Quality Review Evaluate and validate the aspect of our cars with accurate rendering 26

27 Perceived Quality Review We need to validate the complete workflow to obtain an accurate rendering : Material & Lighting Measurement. How to use measurement. Understand approximation generated by the rendering software. Hardware architecture for real-time rendering. Manage and calibrate system of projection to see the image as it has been computed. Manage the point of view in the same manner as when we evaluate a physical car. And finally compare with the real vehicle or the physical mockup. 27

28 Perceived Quality Review 28

29 Cloud Computing: How to reduce the time to compute a virtual mockup and final CGI production To generalize the use of virtual mockupwe need to : Optimize the data preparation. Automate the data preparation. Automate the production of picture or video.

30 Generic workflow for the virtual mockup Organization Convertion Tesselation Optimize Material & Mapping Animation Lighting

31 Automatic workflow and cloud computing 31

32 Automatic workflow and cloud computing Tools to convert data: RTT Deltabatch RTT Deltabatch evolution: Execution from UNC path. Group operations : assembly, jacquetting UV Mapping with automatic mode (Unwrap, Planar, TriPlanar, spherical, cylindrical, ). Read,create look and library look. Cloud Computing Mygaleinternal application based on LSF. Specific link: Material aspect Repository. Import input structure.

33 Automatic workflow and cloud computing VDM Project Mygale DIMO-W Automatic workflow tools unused User s computer Cluster, presentation room BDAM Repository of PSA s material with digital export

34 Automatic workflow and cloud computing Convertion Tesselation Animation Parallelized computing Material & Mapping Optimize All computer connected to the PSA network Dedicated computer

35 CreativityInMotion CreativityInMotion Le projet RTT - DeltaGen Hardware for realtime ray tracing and GI Realtime review with accurate rendering Export DIMO- W Maya Mygale DIMO-W CreativityInMotion Plugin VDM Picture & movies Computer for mygale > 700 pc Storage BDAM Material aspect Repository with digital export

36 The future of CGI All renderers will be able : to use GPU and CPU. To distribute rendering on multi GPU and Multi Computer. To compute directly with native data (Nurbs) or to automatically manage the tessellation with coherent UV mapping. Based on physical approach: material measurement (BSDF, structure, etc). lighting measurement. Physical parameter. RealTimeand offline rendering for the future is just a different use case but not a different software.

37 On the Road with Peugeot 208 GTI Concept by RTT 37

38 Special thanks Citroën VirtualLab Team. Peugeot ProLab Team. PSA Technical Design NVidia GTC Team RealTime Technology Contact: 38