Danny Shapiro at AI Frontiers : Accelerating the Race to AI Self-Driving Cars
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AI is transforming industries from consumer services to robotics. The transportation industry is next. As the industry moves from ADAS to the next-generation of self-driving technology, breakthroughs in computing are changing how we interact with vehicles, and enabling them to drive us. Deep learning is the game-changing technology behind all autonomous vehicle development. This session will showcase some of the latest deep learning systems from the data center to the vehicle being development to create safe and secure self-driving vehicles.
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Danny Shapiro at AI Frontiers : Accelerating the Race to AI Self-Driving Cars
- 1. 1 Danny Shapiro | AI Frontiers | November 3, 2017 AI SELF-DRIVING CARS ©NVIDIA.ALLRIGHTSRESERVED.
- 2. 2 GPU-ACCELERATED INDUSTRIES HPC INTERNET SERVICES TRANSPORTATION MEDICAL IMAGING LOGISTICS Ride Sharing Self-Driving Cars Design & Simulation Radiology Volumetric Rendering 3D CT Autonomous Trucks Route Management Warehouse Automation Photo Album Recommendations Social Media Weather Molecular Dynamics Materials Science ©NVIDIA.ALLRIGHTSRESERVED.
- 3. 3 AI INFERENCE: THE NEXT GREAT CHALLENGE Training InferencingDNN Model ©NVIDIA.ALLRIGHTSRESERVED.
- 4. 4 EXPLOSIVE GROWTH OF INTELLIGENT MACHINES 20M Inference Servers Trillions of IoT Devices100s of Millions of Autonomous Machines ©NVIDIA.ALLRIGHTSRESERVED.
- 6. 6 AUTONOMOUS VEHICLE COMPUTING PLATFORM Sensor Fusion: RADAR, LIDAR, Camera | Deep Learning, CV, Parallel Computing Diversity of Algorithms | ASIL-D Functional Safety | Fully Integrated into NVIDIA BB8 NVIDIA DRIVE PX — AI CAR COMPUTER DRIVEWORKS SDK DRIVE AV DRIVE OS RADAR Fusion LIDAR Point-Cloud Processing Camera Deep Learning (Detection) Camera Deep Learning (Freespace) Camera Computer Vision (SLAM) HD Map (Localizing to Map) Path Planning ©NVIDIA.ALLRIGHTSRESERVED.
- 7. 7 — Goldman Sachs Uber Lyft Waymo GM / Cruise Ford / Argo.ai Baidu Zoox nuTonomy Yandex “RIDE-HAILING INDUSTRY EXPECTED TO GROW EIGHTFOLD TO $285B BY 2030” ©NVIDIA.ALLRIGHTSRESERVED.
- 8. 8 ROBOTAXI DEMANDS EXTREME COMPUTING + 10X camera resolution + Surround LIDAR point-cloud processing + Camera & LIDAR localization to HD map + Tracking all surrounding objects + New map generation + Sophisticated path planning & control + Algorithm diversity + Sensor & computing fail-operate + Excess computing capacity Level 2 Level 5 ©NVIDIA.ALLRIGHTSRESERVED.
- 10. 10 DRIVE PX PEGASUS LEVEL 5 ROBOTAXI SUPERCOMPUTER 320 TOPS CUDA TensorCore | Auto-grade | ASIL D 500W | Late Q1 Early Access Partners Supercomputing Data Center in your Trunk ©NVIDIA.ALLRIGHTSRESERVED.
- 11. 11 NVIDIA DRIVE IX SDK Intelligent Experience Toolkit Sense Inside & Outside the Vehicle | Deep Learning Powered | Early Access Q4 Your Car is an AI Customer Application DRIVE OS DRIVE AV Object, Path, Wait Perception DRIVE IX Gaze, Head Pose, Gestures, Recognize Face, Voice Recognition & Lip Reading Exterior Driver Recognition Automatic Personalization Inattentive Driver Alert Cyclist Alert Distracted Driver Alert Driver/Passenger Recognition ©NVIDIA.ALLRIGHTSRESERVED.