09-06-2017, 09:11 AM
Intel has already launched their own solution for gathering, processing and analyzing the data from autonomous vehicles and helping auto makers like BMW manage that data. Intel’s datacenter group also has the capability enable autonomous vehicle manufacturers to do their training in their datacenters using Intel technology as well. Intel’s approach to autonomous driving t incorporates the endpoint, connectivity and the datacenter, and Intel believes that they have the most complete end-to-end solution. However, in the automotive industry many auto manufacturers mix vendors all over the place, and I wouldn’t consider this to be the only way of building an autonomous vehicle, but Intel does offer the ‘one stop shop’ option.
Chipmakers Get Serious About Autonomous Driving At CES 2017
Intel is acquiring a 15 percent ownership stake in HERE, a global provider of digital maps and location-based services for automotive and the Internet of Things (IoT). Companies plan to jointly develop a highly scalable proof-of-concept architecture that supports real-time updates of high-definition (HD) maps for highly and fully automated driving as well as explore opportunities in IoT and machine learning.
Intel to Acquire 15 Percent Ownership of HERE | Intel Newsroom
Intel, another chipmaker, chose the M&A path by earlier this month acquiring smaller sector player Mobileye, which supplied hardware to Tesla before it switched to Nvidia. According to some, the $15.3-billion deal pits Intel against Nvidia directly, this time over self-driving cars.
Self-Driving Cars May Just Be the Start | OilPrice.com
Intel (Santa Clara, CA) has introduced its Movidius Myriad X vision processing unit (VPU), claimed to be the world's first system-on-chip (SoC) with a dedicated neural compute engine for accelerating deep learning inferences at the edge, enabling devices to see, understand, and respond to their environments in real time.
New Intel VPU delivers AI at the edge | Smart2.0
In the meantime, a relatively new entrant in the playing field made headlines. Computer chipmaker Nvidia announced at a recent conference in Austin, Texas, that it had created a car computer system capable of recognizing patterns and learning behaviors with impressive accuracy. According to the senior director of the company’s automotive business department, Danny Shapiro, the computer learns from video game simulations of traffic and can make 24 trillion calculations per second. The top priority: safety. Nvidia, however, is not just betting on cars. It also has a partnership with truck brand PACCAR to develop self-driving systems for larger vehicles. It seems this is the smart way, as transport experts argue that autonomous trucks will be a much bigger market than autonomous cars.