Tesla: Autopilot Was Engaged in Fatal Crash in California WSJD - Technology

Tesla Inc. TSLA 3.24% late Friday acknowledged its semiautonomous Autopilot system was engaged by the driver in the seconds before a fatal crash last week, raising more questions about the safety of self-driving technology on public roads. Federal investigators this week began examining the March 23 crash of a Model X sport-utility vehicle that was traveling south on Highway 101, near Mountain View, Calif., before it struck a barrier, then was hit by two other vehicles and caught fire. The driver of the Model X was killed. Tesla said its vehicle logs show the driver's hands weren't detected on the wheel for six seconds before the collision, and he took no action despite having five seconds and about 500 feet of unobstructed view of a concrete highway divider. On Tuesday, the National Transportation Safety Board dispatched investigators to the scene, the second Tesla crash to attract the agency's attention this year.

Nvidia redefines autonomous vehicle testing with VR simulation system


Nvidia has on Tuesday announced Drive Constellation, a cloud-based system for testing autonomous vehicles using photorealistic simulation via virtual reality, aiming to speed up the delivery of autonomous cars in a safer and more scalable way. According to Nvidia senior director of Automotive Danny Shapiro, every two minutes, four to five people die in vehicle-related accidents -- totalling 3,000 people per day globally. "This is a big problem, so we're really focused on bringing the hardware and software to solve the challenge," he said. Drive Constellation is a computing platform based on two different servers. The first runs the Nvidia Drive Sim software to simulate an autonomous vehicle's sensors, such as cameras, lidar, and radar; while the second boasts Nvidia Drive Pegasus, which is an artificial intelligence car computer that runs the autonomous vehicle software stack and processes the simulated data as if it was being fed in from sensors on a real car.

CES 2018: Mobileye claims autonomous driving solution more efficient than Nvidia


Mobileye's acquisition by Intel provided it with the ability to produce a more complete autonomous driving solution than Nvidia, according to Mobileye senior VP and chief communications officer Dan Galves, because it has been able to bring both hardware and software together.

Toyota's new self-driving test car can better recognize small objects


Toyota Research Institute (TRI) will debut the latest version of its automated driving research vehicle at CES next week. TRI had three major goals with this latest model and Platform 3.0 incorporates them all into a car with more perception capabilities, a design that's easier to produce at scale and a much sleeker look. "To elevate our test platform to a new level, we tapped Toyota's design and engineering expertise to create an all-new test platform that has the potential to be a benchmark in function and style," TRI CEO Gill Pratt said in a statement.

Fragmentation in self-driving cars will eventually be a problem


If you remember the '80s, you were probably amazed that you could walk up to a computer, type the following in BASIC and something would happen:

Elon Musk, Tesla and the case for the AI chip


It's not easy keeping up with the whirlwind industrialist's ventures, but if you're a Tesla enthusiast, like me, you are probably following the projects of the iconic electric car maker's CEO closely.

Musk Says Tesla Is Building Its Own Chip for Autopilot


Rockets, electric cars, solar panels, batteries--whirlwind industrialist Elon Musk has set about reinventing one after another. Thursday, he added another ambitious project to the list: Future Tesla vehicles will run their self-driving AI software on a chip designed by the automaker itself.

Tesla is developing its own custom AI chip, says Elon Musk


Elon Musk has revealed that Tesla is developing its own custom artificial intelligence (AI) chip to support the company's next generation of self-driving technology.