Autonomous Driving Simulation with WebGL and Cesium

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Autonomous driving systems will require several billion miles of test driving to prove that they’re better drivers than humans. Simulation improves testing efficiency, safety, and comprehensiveness. Vehicles capture the environment with LIDAR, cameras, and other sensors, and then this environment is used to simulate different traffic, pedestrian, lighting, and weather scenarios.

Join us as Patrick Cozzi, of AGI and the University of Pennsylvania, demonstrates how WebGL and Cesium form a great platform for autonomous driving simulation, including streaming massive point clouds and photogrammetry models using 3D Tiles, and rendering individual agents with glTF.

You'll learn how this video was made!

Patrick Cozzi is Principal Graphics Architect at Analytical Graphics, Inc. (AGI), where he leads the development of Cesium, an open-source WebGL virtual globe and map engine. He teaches GPU Programming and Architecture at the University of Pennsylvania, where he earned a master's degree in computer science. As part of Khronos, Patrick is the co-creator of glTF, the emerging standard format for 3D data. He is the editor of WebGL Insights, coeditor of OpenGL Insights, and coauthor of 3D Engine Design for Virtual Globes.

Food and beverages will be provided by the Khronos Group.