this week cars bars and the police ride
I'm on my way to a reported incident on one of Las Vegas busiest highways with
the last rain falling over four months ago
the oily roads mixed with the fresh water have become a lethal recipe for
disaster in the driving seat is Sergeant John arias from Nevada Highway Patrol
he's using wake air software that alerts him to an incident as soon as it's
reported via someone calling 9-1-1 or through driving apps like Waze and it
provides him with details and the best route to get to the scene tell me the
location what kind of accident if it's a debris how long it's going and if
there's any responders that are already signed to the car that are on their way
it constantly updates him on the situation as it develops having a robust
system in place doesn't just help with weather-related collisions and delay for
the portion that we handled in the Highway Patrol is really getting the
public that's on the strip off the highway as quickly as possible or
closing off the freeway so we can have those critical resources fire medical
ambulances to get people to the hospital and get there quickly in 2017 15,000
crashes were tended to with over 300 people dying on average each year in
road accidents in Nevada getting emergency services to the scene as
quickly as possible is critical
the system has been running through the regional transportation Commission's
traffic management center for the past three months
now because we're getting information and through so many different data
streams not just the dispatchers but we're getting it through social media
we're getting it through things like the Waze app so as people are tagging them
in as they're driving because all of this is happening so quickly we might
have already sent out all of that information and had everybody in this
room aware before the first 9-1-1 call comes in so we're talking about possibly
10 to 15 minutes of improvement in response time for some of these
incidents that's major when you're dealing with traffic incidents wake app
pulls in data from several sources traffic signals CCTV cameras in vehicle
sensors and information from driving apps it factors in things like what day
of the year it is the time of day and the weather responding to incidents
rapidly is one thing but the point is to be able to predict incidents before they
happen so the responders can be better prepared and in the right location using
deep learning what we do is we look at the historical data run it through
algorithms to develop a patterns that are emerging and tie it to what's
happening now on the road and by doing that we're essentially able to look
forward in time to identify where these incidents are likely to occur
unfortunately Waker wasn't able to predict this one taking pictures and
looks like it's the rear yeah you see how she was spinning out she did a full
180 and struck being able to foresee accidents here could really save lives
the hope is that as the data gets more sophisticated the predictions will
become more accurate every day we get more and more evidence about what causes
what triggers an incident and the artificial learning gets smarter and
smarter and more capable for Nevada now though the initial results are promising
they get there faster we clear it faster and that means less secondary accidents
and if you think about it secondary accidents have basically have
18 percent of secondary accidents are fatalities so we're reducing the
fatalities on the road rate and of course the goal is to prevent accidents
altogether and Richard Taylor and Lara Linton have been looking at some in-car
technologies that may help make that a reality
at CES as you might expect there's a lot of interest in self-driving cars and
it's pretty clear that were on a one-way street
towards full autonomy but that does still seem to be a way off although we
don't know exactly how far in the meantime though there is plenty of
innovation to be seen before we reach our final destination unsurprisingly the
move towards autonomy to driving is focused largely on safety with Hyundai
creating a system to intervene when we need it the most the girls face it with
a combination of biometric sensors in the seat they're tracking heartrate and
a low resolution camera which is tracking your facial movements now the
reason is low resolution is so that the refresh rate is a lot quicker so if
there's a problem if it seems that you've lost concentration or you're
drifting off to sleep then the car could quickly react to autonomously be moved
off the road to a safe spot and the basic premise of this technology could
be available in just a mere meanwhile Nissan has a different even more
futuristic twist on biometrics using my gray matter the idea of this system is
really to provide an interaction between man and machine between my brain and the
AI and the concept here with Nissan is that even in a world of autonomous
vehicles there will be roles for humans to play after all a lot of people do
find driving quite a positive experience it can interpret the signals coming from
the human and actually enhance the riding this so-called brain to vehicle
tech currently involves wearing this bizarre-looking electrode studded helmet
to capture my brain activity and interpret the signals as much as half a
second before my muscles do so as I'm about to say change lane or hit the
brakes it will initiate the action for me giving me a smoother ride and yet
still allowing me a sense of control they do need to sort out their helm
though oh dear I'm not driving very well here yet what we can't hide away from is
the fact that when full autonomy does come to pass it's not simply about cars
this is Yamahas concept motorbike a self-driving racing vehicle that should
be able to do speeds of over a hundred and twenty miles per hour although not
on actual roads you'd hope but whatever the form of autonomous vehicle it'll
need to interact safely with pedestrians and cyclists to a challenge that Ford
are hoping to overcome in their vehicles initially cyclists will have to be seen
by the vehicles and we are building perception into our autonomous vehicle
that allows the autonomous vehicle to detect the cyclist objects to understand
their intent to ensure that we can be safely navigating in the same space and
Ford are just one of the big brands who've called upon the help of nvidia
whose processors combined with intelligent software can make the
environment around the vehicle safer for example using lidar sensors to alert a
driver who's about to open a car door onto a cyclist and AI is fueling other
experiences inside the car - speech recognition specialists nuance power
many of today's in-car interactions and they showed off how they'll look in
future as well today we think about the assistant is
something that we interacted with using voice but we can add other modalities of
course we have the screen we have touch but maybe we can use gestures and in
this specific prototype we introduced eye tracking as a way of helping the
assistant understand what am I is a driver looking at and then I can ask
questions about my environment so if I see a coffee shop in front of me I can
just ask a question about it what is the user rating of this coffee shop
stars so the other part of the system is that there are microphones placed in
different parts of the car which means that the AI can respond according to
where the different passengers are so here in the passenger seat I can say
hello dragon I'm cold there's definitely a trend towards making our journeys more
enjoyable as well as safer Toyota have even updated their happiness tracking
concept car aiming for a more pleasurable journey and even suggesting
where you might want to go for anyone who needs their car to tell them since
you are 30 I'll tell you something interesting there are many options
around Union Square from casual dining to michelin-starred high-end restaurants
as well as popular cafes do you like it yes well that was a bit of fun but I
didn't need the AI to tell me that I was ready for dinner
sushi yeah okay welcome to the week in tech it was the week that Ford announced
it will invest 8 billion pounds in electric cars in the next five years a
flaw in a VR porn app called sin VR left 20,000 users names and email addresses
exposed and hackers managed to steal $400,000 worth of cryptocurrency
by hijacking a server that hosts a web-based wallet for virtual currency it
was a busy week for cryptocurrency as Bitcoin encountered his biggest daily
crash in four months it's thought that fears over increased regulation
particularly in Asia were behind the downturn a contraceptive app previously
heralded as being as effective as the pill has been criticized by a Swedish
hospital for a number of unintended pregnancies they say were linked to the
app the company behind the app natural cycles have defended the product saying
that as with any form of contraception it's not 100% effective they are now
launching an internal investigation however and I bet you didn't expect the
latest nintendo offering to include well a whole load of cardboard the latest
add ons for the switch console of cardboard packs turning the controllers
into a fishing rod a motorbike and even a robot suit gimmick or brilliance and
finally a rescue with a difference as a drone was used to save two swimmers in
trouble off the coast of New South Wales in Australia lifeguards were being
trained to use the rescue drone when practice suddenly became reality and the
drone was launched dropping a flotation device to the teenagers the whole rescue
took just 70 seconds in this trendy part of downtown Las Vegas these passengers
are waiting to hop on a special kind of ride for the past two months
French autonomous vehicle company Navia has been offering free bus rides to the
public admittedly it doesn't travel far it just as a loop around the block with
one stop at a donut shop well at least they're getting a taste of the future
down the road though I'm waiting to catch a more private ride which I've
booked on an app
as if by magic the door opens the team was still ironing out a few issues shall
we say I think this is the first genuinely autonomous vehicle I've been
in whether there really is no driver and there really is no no place for a driver
there's just safety man here that's it safety man has an Xbox one controller
down by his side Naevia is certainly not alone in this space
uber and Google's way Moe have been battling it out for some time to become
the first fully autonomous cab sharing service self-driving cars to use a lot
of sensors to be able to navigate the road safely perhaps one of the most
important is lidar this is what enables the car to judge its surroundings and
the design of these sensors is at the heart of way mo and ubers court-case na
VIU's car is no different it too uses lidar to look around interestingly what
it's not doing is looking at the traffic lights to judge what color they are
they've actually fitted special sensors to each traffic lights and those sensors
talk to the car so that doesn't sound very scalable to me that sounds like you
wouldn't be able to put this kind of technology on the open road without
fitting every single traffic light in the US with these sensors this is much
more just for predetermined routes for them these kind of shuttle via
now while I've been riding around in this particular Smart vehicle Dave Lee
has been up in Reno not that far away looking at a system that's making use of
data collected by vehicles like this to help an entire city to move more
smoothly
there's been great strides made in self-driving technology over the past
decade or so but the thing about autonomy is that it's often tested in
bright clear conditions the real world is much more distracting
in fact it's not just darkness that's difficult for existing autonomous
technologies whether it's through rain snow or just far up ahead on the road
there's a lot self-driving vehicles struggle to see important work is taking
place at the University of Reno Nevada that's attempting to solve that problem
making autonomy more intelligent and it all begins here of the corner of
50 and Virginia so at that corner we have the lidar sensor data light acids
are used to be on the Autons vehicle but we move it from the vehicle to the
intersection so it can track each pedestrian here is vehicle here what
kind of things is it picking up is it recognizing who people are I know it
only recognizes this is a pedestrian or this is a vehicle it does not recognize
who the person is think of this intersection as providing more eyes to
an autonomous vehicle it could detect a threat and communicate that to a car
heading in its direction telling it to slow down
beware so what these sensors are doing in essence is giving autonomous cars
more eyes along the road yes they just know more about what's coming up ahead
of it exactly so no black spot
part of the same program is this connected car a modified Lincoln that
could not only drive itself around but also communicate with other vehicles and
components in the city signaling its intentions to others the hardware that
you see is pretty similar to what you're going to see in most autonomous vehicles
if not all of them where we really distinguish ourselves is in the software
so our research focus is on what I call social intelligence we are trying to
build machines that understand people and understand human social behavior and
can predict what other people are going to do and then act appropriately it's a
skill that humans have you know we navigate driving effortlessly even
though we can't read other people's minds and it's a skill that computers
are going to have to have if they're ever going to drive cars in the world
with the rest of us and then there's that challenge of making the technology
work in difficult conditions inspired by an earlier project to help drones see in
the dark the team at the university's autonomous robots lab has convened lidar
radar and cameras that use advanced image recognition not only does this
dramatically improve what the car can comprehend it's also pretty cheap
once that technology is safe and ready the plan is to deploy it on electric
buses like this one but until then the team plans to use the autonomous tech to
gather large amounts of data in preparation for a self-driving future
this bus made by california-based Patera is already out on Reno's roads so right
now with a more traditional type of driver this is not autonomous yet they
liaised - at some point focus on that project however right now we're focusing
on data collection for what we call the Living Lab and data collection there
it's going to be used for the intelligent mobility program for the
foreseeable future these buses will gather data for the
living lab program in Reno a city that perhaps knows more about what's going on
on its streets than almost any other city in the world
that was Dave and now to something that we've been hearing a lot about recently
augmented reality now it works by overlaying graphics on top of the real
world and whilst AR games like Pokemon go have enjoyed global success the most
hyped bit of a Ark it's magic leap is still waiting to be released
AR remains a technology that promises more than it delivers but by combining
AR with AI researchers in Florida are hoping to create new ways to train
people to perform complex tasks marches that took their AR kits for a test drive
or should that be a test flight the University of Central Florida has a
long-established relationship with the simulation industry helping create
simulated experiences for everything from driving to supermarket shopping
the simulation lab here's latest project is a bit more high-flying than high
street though as long as we've had pcs we've had flight simulators but if
you're really serious about learning how to fly then you need an aircraft and a
human pilot to teach you what to do well this lab is about to be transformed into
an aircraft cockpit with the help of this augmented reality headset and when
I put it on it'll also provide me with my very own virtual captain called
project cap it's a collaboration with aerospace giant's Boeing necessary
information sure I'm SS Lowe I'm ready for your
takeoff breeze give it your best try the a our cockpit companion is designed as
an additional training aid for pilots the portability of the hololens meaning
they can brush up on skills or practice in almost any environment it does feel
as if I can reach out and touch the controls and I'm very much tempted to I
do that and of course there's nothing there okay captain you seem to have a
better idea of what to do in this aircraft so call for taxi Roger the
sequence will be 2 followed by 1 you are cleared to start number 2 ready at the
moment cap responds to a very small number of voice commands or questions
beacon on mic check ok 1 2 3 but this sort of simple practice can still be
useful for trainee pilots augmented reality gives us a chance to bridge the
gap between the things that have always been trapped in the digital world and
the real world around us how can we start to merge those two things together
in effective ways how can we create holograms right before you for things
that might be less safe if you were to do them in the real world or that you
might need additional information besides what you can build around you in
the real world closed and locked that's behind him to
check that v1 120 VR it's a very convincing illusion that there's a pilot
in here with me any questions do we have a specific
altitude restriction for the Serbs a year in development cap himself is
actually modeled on a real pilot we had an opportunity to take some of our
friends who are pilots in this case one in particular and see if you would
actually subject himself to a full-body scan to then be able to use him as our
avatar so that's who we have an actual pilot who knows the mannerisms and
gestures that we could put into that virtual pilot seat but is this another
instance of Technology putting people out of their jobs no no it's you provide
student pilots for the opportunity to practice interpersonal skills before
they actually get to a flight training center with real pilots and we can
provide them with a greater breadth of experiences through introducing
different variables such as different culture types or personality styles that
they can practice with I do wonder about other applications for this sort of this
sort of kit somebody that might be able to teach you how to drive a car for
instance or teach you how to operate various bits of equipment and machinery
some of the work that we had done before doing the work with Boeing was in things
like medical simulation being able to have a holographic overlay so that you
could see the x-rays laid on top exactly placed or the CT scans or MRIs those are
things we think hold great promise not only just because they'll help with
visualization but they might actually lead to better quality of care or
life-saving because you have better access to data right when you need it so
one day beyond the cockpit caps digital descendants might help teach us how to
do all kinds of things sure no problem
and from bowing to boozing I'm on my way to the tipsy robots a bar where mixology
has been given a high-tech makeover here the drinks are shaken and served by
these two chaps I can even invent my own cocktail by choosing from some of the
120 odds spirits hanging from the ceiling or I assume all of the hundred
20 old spirits know what I do that no I can't do that apparently these droids
can mix over a hundred cocktails an hour between the two of them now that sounded
impressive till I discovered that some human bartenders can do ten times that
and that is it but click in the US for this week don't forget you can follow us
on twitter at BBC click where you can see loads of extra backstage videos and
photos or though trust me you don't want to see what happens after i have one or
two of these Cheers see you soon
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