Stanford CIS

NVIDIA AI platform promises fully autonomous taxis by 2018: Is it possible?

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"However, it's important to remember that this is a processing platform, Bryant Walker Smith, an assistant law professor at the University of South Carolina and an expert on the law of driverless vehicles, told TechRepublic. It may have the processing power, speed, and reliability needed for more sophisticated automated driving, but it is not in and of itself an automated driving system, he added.

"The company hasn't claimed to have developed all the software, hardware, and data needed for automated driving; it's merely announced that it plans to market a chip that in theory could support the hardware and software envisioned for such a system," Walker Smith said. "That's a big difference.""

Published in: Press , Autonomous Driving , Robotics