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Tuesday, 23 August 2016

Intel digs deep into emerging autonomous driving space

 Source: Intel Corporation. Intel is building its own fleet of self-driving cars and showed two test vehicles at an investor event at the 2016 Intel Developer Forum in San Francisco, US on August 18, 2016.
Source: Intel Corporation. Intel is building its own fleet of self-driving cars and showed two test vehicles at an investor event at the 2016 Intel Developer Forum in San Francisco, US on August 18, 2016. 

Intel has unveiled its strategy for autonomous driving at the recent 2016 Intel Developer Conference in the US.

At the event, Intel illustrated how it is uniquely positioned to provide all of the components required to power fully-autonomous driving with experience that spans the vehicle, communications and the data centre. In its favour are a portfolio of power-efficient silicon, as well as a wide range of global partnerships with telecom and automotive leaders. The partnerships focus on delivering integrated 5G prototype solutions to ensure network readiness and the promise of the data centre in storing, sharing and protecting the unprecedented volumes of data that will feed deep learning algorithms needed to train the vehicle.

Intel also summarised the breadth and depth of its automotive strength across silicon, Altera field-programmable gate arrays and Wind River software systems with:

Design wins:
49 OEMs for software-defined cockpits (SDC)
33 tier-one suppliers
More than 30 vehicle models on the road

Autonomous engagements:
19 OEM platforms
Nine tier-one engagements
Fifty-nine ecosystem partners

It was further announced that Baidu, China’s dominant search provider is working with Intel to evaluate and develop new computing technologies in the vehicle and the data centre for autonomous driving that will extend a vehicle’s capability to avoid collisions and make passengers safer.

Interested?

View the session webcast at Intel Studios

Watch the demos, which span in-vehicle technologies, communications and analytics, artificial intelligence, machine learning, and the human-machine interface.

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