Intel Editorial: The Road to Our Driverless Future Runs Straight Through the City

Unpredictable and Chaotic Urban Environments will be the Proving
Grounds for Level 5 Automation

SANTA CLARA, Calif.–(BUSINESS WIRE)–By Kathy Winter:

I get to visit many metropolises for my job โ€“ Munich, Detroit, San
Francisco, Tel Aviv โ€“ and I absolutely love the hum of the big city. The
activity is invigorating โ€“ thereโ€™s so much to see and do. Yet that
vibrancy loses its appeal when Iโ€™m behind the wheel of a car. In one
city block, someone will honk at me, another car will cut me off, a
siren will blare, a delivery truck will block my lane, a garbage can
will fall off the curb, a pedestrian will dart out in front of me โ€“ not
in a crosswalk, mind you โ€“ and someone on a bike will come at me from
the wrong direction. That short drive requires every ounce of attention
I can muster.

Short city blocks represent the longest leg ahead on my autonomous
journey at Intel โ€“ not in distance, but in engineering
complexity. Most of todayโ€™s self-driving cars โ€“ or cars with Level
3 conditional automation
โ€“ have already shown they can safely travel
long distances on a highway. Consider the 3,400-mile cross-country
trip
my team and I engineered two years ago at Delphi. Ninety-nine
percent of the time we were in self-driving mode and safely navigated
all kinds of weather โ€“ even staying on track when the lane markings
disappeared. But things get much trickier when you leave the well-marked
highway.

The reason for this is simple: By their very nature, city streets are
exponentially more complex than highways. The variety of objects
encountered on a highway drive is relatively limited: cars, motorcycles,
trucks, street signs, trees and bushes, guard rails, and a few other
possible options. Leave the highway and much more is added to the mix.
Humans for example โ€“ an infinite variety of humans walking, running,
riding bikes, riding skateboards and scooters, riding hoverboards, going
the wrong way, jumping out of cars, jumping into taxis.

Before cars can be truly driverless โ€“ no steering wheels, no pedals, and
no humans operating as a failover mechanism โ€“ we have to engineer car
brains that can handle the complexity of a dense urban environment. As
defined by the Society
of Aerospace and Automotive Engineers (SAE)
, this means Level 5 full
automation. And that is by no means an easy feat.

While the incremental naming of the different levels of automation
suggests an incremental increase in capability, the deltas are more in
terms of magnitude. Level 5 driverless cars will need exponentially
greater sensing and decision-making capabilities than Level 3 cars. In
other words: exponentially more computing intelligence and performance โ€“
monumental jumps in the complexity of the algorithms and associated
computational throughput with almost zero delay, which means
significantly lower latency. While technology exists today that can meet
all of these needs, no company has yet been able to scale a computer
into a thermal or power envelope that meets the needs of the industry.

Despite these challenges, Intel is alone in being able to reach this
computational value and performance scale across the car, the network
and the data center. Intel recognized this multifaceted challenge needs
a multifaceted toolkit โ€“ with an optimized mix of scalable CPUs that can
extend to data center server-class products, FPGAs and, yes, artificial
intelligence. And Intel is the only tech company that offers a complete,
end-to-end toolkit that spans the full technology challenge car-to-cloud
to make fully autonomous driving possible.

Most importantly, driverless technology promises us the potential to
save hundreds of thousands of lives and grant mobility to all โ€“ not to
mention saving us the stress of driving across a vibrant and busy city
or down a long and boring highway. It will take the entire depth and
breadth of Intelโ€™s portfolio plus its key partners to travel the
distance between the Level 3 cars we are seeing today and the Level 5
capabilities that will finally remove humans from the driverโ€™s seat
tomorrow. This is one trip where Iโ€™m excited to be in a passenger seat,
with no one behind the wheel.

Kathy Winter is vice president and general manager of the Automated
Driving Division at Intel Corporation.

This is the sixth in an occasional series
of Intel newsroom editorials related to autonomous driving
.
To comment or reach Kathy directly, email
[email protected].

Contacts

Intel Corporation
Kathy Winter
[email protected]