Deutsche Telekom, Audi and Toyota lead LTE-Vehicular autobahn demo

The partners are contributing also to requirements definition for later releases of the 3GPP project, which will aim to enable a wide range of emerging use cases from connected and automated driving to new mobility services in the 5G era from 2020

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Applause to the partners and others to come in a collaboration to bring the goodness of DSRC and LTE together rather than continue as competitors. This is a win-win, cars get V2X safety, wireless carriers get now spectrum to expand business within.

Japan’s transport ministry allows mirrorless cars

the concept itself isn’t necessarily new, because some automakers already equip vehicles with cameras and monitors to show what is around a car, mirrors are still required under current regulations

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Note to Autonomous Car advocates: you will have duplicate features for some time in your car, both the old and the new as drivers, regulators, and suppliers adapt to the new technology. This is often a delay of years, perhaps decades.

EE Times – Why Intel Got Inside BMW-Mobileye Deal

analysts are skeptical that Mobileye – known as a jealous defender of its algorithms – would gladly share with anyone, let alone Intel

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I don’t think Intel will win any sockets from this deal, but they will get some great industry marketing gains by contributing $100’s of millions and several hundred engineering resources to maintain their BMW relationship. Insiders know this is what happened between Intel and BMW with GENIVI, Intel did not win the first socket and struggled to win the second. Welcome to the automotive supply chain.

Why the IoT depends on analog technology

Among the advantages of analog is that is offers an infinite number of representations — for example, on a clock, as the hands move around the clock it can represent every single possible time, while a digital clock has a finite number of possible times it can represent

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Contrary to popular belief, analog is not “bad”, in fact it is better than digital, proven example in the human brain – stores and thinks using analog. If computers could do this they’d be way, way more powerful. The software is too tough for most brains to write though. 😉

10 Predictions for the Future of IoT – OpenMind

A Google search for “Internet of Things” term reveals over 280,000,000 results, thanks to the media making the connection between the smart home wearable devices, and the connected automobile

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280M responses is a lot of IoT to sort thru. The Connected Car is just beginning to be on the search list. Matching cars up to home and wearables is a totally untapped market – if people care about it.

US CDC says conventional tech would halve car crash fatalities

And if the U.S. had the same rate as Sweden—the country with the lowest crash death rate—about 24,000 fewer lives would have been lost and an estimated $281 million in direct medical costs would have been averted in 2013

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I really hate it when they develop statistics comparing the US to Sweden since there’s almost no comparison possible. However, when it comes to saving lives in car accidents, I suppose whatever it takes is worthwhile.

Ford uses NVIDIA Deep Learning for lane position

after a thorough evaluation of the results that they could proudly claim, “we are able to estimate the lane position in 99% of the cases with less than five pixel error”

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Lane positioning and precise object location (in this case striped on the road) is one of the biggest challenges toward autonomous driving. Triple redundancy needs all the sources of information possible.

Intel Disrupted: Why large companies find it difficult to innovate, and what they can do about it

It’s becoming clear that extracting intelligence from that big data requires machine learning architectures which are better implemented with non x86 chips from companies like NVidia. It’s possible that by the end of this decade history might repeat itself in Intel’s most profitable segment.

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Intel must think and execute like a startup, otherwise the failure in mobile will repeat as a loss at the enterprise – but not without a fight. More is to gain by offense than defense, however.