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Intel shifts into “high gear” with self-driving ambition

Workshop was the first time Intel – together with BMW, Delphi, Ericsson and HERE – presented the whole of its autonomous driving programme

Intel wants to "push the boundaries" of driverless cars and future transportation
Intel wants to "push the boundaries" of driverless cars and future transportation

Intel Corporation has opened its latest Advanced Vehicle Lab in Silicon Valley as it steps up on its R&D efforts to “push the boundaries” of driverless cars and the future of transportation.


The lab joins Intel’s three other labs in Arizona, Oregon and Germany.


They have been set up to explore and better understand the various requirements related to self-driving vehicles including sensing, in-vehicle computing, artificial intelligence (AI), connectivity, and supporting cloud technologies and services.


The announcement was made during the company’s first autonomous driving workshop held in partnership with BMW, Delphi, Ericsson and HERE in San Jose, California. It was also the first time that the chipmaker presented its autonomous driving programme in its entirety.


Meanwhile, in a separate editorial written by Doug Davis, senior vice president and general manager of the automated driving group (ADG) at Intel, revealed he has postponed his retirement because never before in his 30-year career at Intel has he been more passionate about the work he’s involved in.


“I have unwavering confidence that Intel will succeed in autonomous driving,” he said. “We have an astounding breadth and depth of experience and the world’s finest technology toolkit to apply to this challenge.”


The single most important factor in autonomous driving is data – how best to process it, manage it, move it, store it, share it and learn from it, Davis continued in the editorial.


“From PCs to data centre and everywhere in between, no company’s silicon has analysed, computed and moved more data than Intel’s. As we move down the road toward autonomous cars, the data challenge will become much more complex and require new ways to work with data inside the vehicle, throughout the network and across the cloud.”


With the slew of information captured by cameras, Lidar, Radar and other sensors, autonomous cars are expected to generate approximately 4 terabytes of data every 90 minutes of operation, according to Intel. Most of this data will be processed, filtered, and analysed in the car, while the most valuable data will be moved to the data centre to update maps, enhance data models and more.


In addition, Intel’s Autonomous Garage Labs work with customers and partners to come up with new ways of addressing the data challenge inside the vehicle, across the network and in the data centre.


Engineers at the labs use a variety of tools to advance and test in these areas, including vehicles equipped with Intel-based computing systems and different kinds of sensors that help gather data; autonomous test vehicles that practice real-world driving; partner vehicles and teams that are collaborating with Intel’s research efforts; and dedicated autonomous driving data centres.



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