Artificial Intelligence/Machine Learning Nvidia's 'Kitchen Sink' for AV Testing by Sebastian Blanco A new cloud-based simulation system aims to deliver millions of road test miles - virtually. testing in the real world. Drive Constellation blends a simulation of a selfdriving vehicle's sensors (cameras, LIDAR, and radar) that comes from Nvidia's Drive Sim software in one server, with a self-driving car fitted with the company's Drive Pegasus high-performance AI computer to process the data. The result is a virtual autonomous vehicle that can cover the ground real cars can't. "We call this Drive Constellation," Huang said. "Pegasus in the Sky. A constellation of them. With just 10,000 constellations, we can cover three billion miles a year." That sort of testing is what will give OEMs and Drive Constellation is designed to bridge the gap between the billions of miles of test data needed to get autonomous vehicles to SAE Level 5 and the relatively limited amount of real-world road testing. 26 May 2018 AUTONOMOUS VEHICLE ENGINEERING Nvidia Nvidia CEO Jensen Huang laid out the problem during his keynote address at the company's 2018 GTC conference in San Jose in late March. Autonomous driving technology is "probably the hardest computing problem that the world has ever encountered," he said. Huang then announced a new cloud-based system for autonomous-vehicle testing that uses two servers to create a complex virtual environment and then virtually "drives" autonomous vehicles through it. Called Drive Constellation, the system is meant to bridge the gap between the billions of miles of test data needed to get autonomous vehicles to SAE Level 5 capabilities and the limited amount of time these cars can spend