A better, more optimized traffic
management function would be an
expected result of connecting businesses
and governments through highly accurate,
constantly updated location data
Lior Sethon, vice president and deputy general manager of
the Intelligent Mobility Solutions Division, Mobileye
July/August 2019 Traffic Technology International 055
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developing the next generation of
data collection management
technology. “The information will
even include short-term features such
as someone digging up the road,
temporary stop signs, temporary
traffic lights and cones. It is then up
to us to imagine what we could do
with that and where that could go.”
Traffic management
The data is continuously collected
and updated as new and existing
vehicles capture the latest
information. This constant revision, a
form of vehicular crowdsourcing, is
the outcome of an intelligent car with
sensor camera, technology that far
exceeds the capability of a person
taking notes in a car. Through this
method vehicles are creating layer
upon layer to build the fullest
possible picture, one that may shift
but can be constantly be updated.
Lior Sethon is vice
president and deputy
general manager of the
Intelligent Mobility
Solutions Division at
Mobileye. He highlights
potential future benefits
way beyond simply creating
accurate maps.
“The customizable location
information service we are
developing with OS will help lay the
foundation to enable smart cities,
with safer, improved traffic flow and
reduced congestion certainly being
among the desired outcomes,” he
says. “A better, more optimized
traffic management function would
be an expected result of connecting
businesses and governments through
highly accurate, constantly updated
location data.”
An example: if a local city
government can be alerted instantly
| Connected Mapping
Sensors able to map
surroundings with
centimetre-precision
accuracy will obviously benefit
connected and autonomous
vehicles once they are
mainstream and legally viable.
But it would be a mistake to
think that such a solution can’t
already make a big difference.
“We don’t need to wait for
autonomous driving to give
guarantees about the
probabilities of accidents if you
install the right technology in
the car,” says Professor Amnon
Shashua, president and CEO of
Mobileye. “We are talking
about today. Driving assist is
mostly about forward sensing;
you have a camera with a
50°field of view. Soon we will
be talking about a 360° view
at only a few hundred dollars
per car. Once you put 360°
sensing in a car we have the
math to show you can bring
accidents to infinitesimal
levels, basically a vision zero.
By 2022 we predict that 24
million vehicles including VW,
BMW, Ford and Nissan will
feature our technology. Within
five year I envision all new cars
on the road will be sending this
kind of data.”
A vision for safety
The sensor technology being used for mapping is also useful when
it comes to improving advanced driver assistance systems
when a stop sign has been knocked
down or when traffic lights
malfunction, it can be faster in
responding with necessary
maintenance or repairs. This can
minimize delays caused by
confusion and reduce the number of
drivers who must navigate those
intersections without the roadside
infrastructure that ensures their
safety. If utility companies can utilize
the location data services to better
monitor the condition of their assets,
they can be smarter in planning
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