Making a car for blind drivers
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0:00 - 0:03Many believe driving is an activity
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0:03 - 0:05solely reserved for those who can see.
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0:05 - 0:08A blind person driving a vehicle safely and independently
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0:08 - 0:11was thought to be an impossible task, until now.
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0:11 - 0:13Hello, my name is Dennis Hong,
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0:13 - 0:15and we're bringing freedom and independence to the blind
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0:15 - 0:18by building a vehicle for the visually impaired.
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0:18 - 0:21So before I talk about this car for the blind,
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0:21 - 0:23let me briefly tell you about another project that I worked on
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0:23 - 0:25called the DARPA Urban Challenge.
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0:25 - 0:27Now this was about building a robotic car
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0:27 - 0:29that can drive itself.
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0:29 - 0:31You press start, nobody touches anything,
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0:31 - 0:34and it can reach its destination fully autonomously.
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0:34 - 0:37So in 2007, our team won half a million dollars
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0:37 - 0:39by placing third place in this competition.
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0:39 - 0:41So about that time,
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0:41 - 0:43the National Federation of the Blind, or NFB,
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0:43 - 0:45challenged the research committee
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0:45 - 0:47about who can develop a car
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0:47 - 0:49that lets a blind person drive safely and independently.
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0:49 - 0:51We decided to give it a try,
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0:51 - 0:53because we thought, "Hey, how hard could it be?"
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0:53 - 0:55We have already an autonomous vehicle.
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0:55 - 0:57We just put a blind person in it and we're done, right?
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0:57 - 0:59(Laughter)
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0:59 - 1:01We couldn't have been more wrong.
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1:01 - 1:03What NFB wanted
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1:03 - 1:06was not a vehicle that can drive a blind person around,
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1:06 - 1:09but a vehicle where a blind person can make active decisions and drive.
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1:09 - 1:11So we had to throw everything out the window
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1:11 - 1:13and start from scratch.
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1:13 - 1:15So to test this crazy idea,
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1:15 - 1:17we developed a small dune buggy prototype vehicle
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1:17 - 1:19to test the feasibility.
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1:19 - 1:21And in the summer of 2009,
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1:21 - 1:24we invited dozens of blind youth from all over the country
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1:24 - 1:26and gave them a chance to take it for a spin.
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1:26 - 1:28It was an absolutely amazing experience.
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1:28 - 1:30But the problem with this car was
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1:30 - 1:33it was designed to only be driven in a very controlled environment,
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1:33 - 1:35in a flat, closed-off parking lot --
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1:35 - 1:37even the lanes defined by red traffic cones.
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1:37 - 1:39So with this success,
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1:39 - 1:41we decided to take the next big step,
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1:41 - 1:44to develop a real car that can be driven on real roads.
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1:44 - 1:46So how does it work?
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1:46 - 1:48Well, it's a rather complex system,
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1:48 - 1:51but let me try to explain it, maybe simplify it.
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1:51 - 1:53So we have three steps.
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1:53 - 1:55We have perception, computation
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1:55 - 1:57and non-visual interfaces.
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1:57 - 1:59Now obviously the driver cannot see,
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1:59 - 2:01so the system needs to perceive the environment
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2:01 - 2:03and gather information for the driver.
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2:03 - 2:06For that, we use an initial measurement unit.
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2:06 - 2:08So it measures acceleration, angular acceleration --
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2:08 - 2:10like a human ear, inner ear.
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2:10 - 2:12We fuse that information with a GPS unit
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2:12 - 2:15to get an estimate of the location of the car.
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2:15 - 2:18We also use two cameras to detect the lanes of the road.
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2:18 - 2:20And we also use three laser range finders.
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2:20 - 2:23The lasers scan the environment to detect obstacles --
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2:23 - 2:25a car approaching from the front, the back
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2:25 - 2:28and also any obstacles that run into the roads,
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2:28 - 2:30any obstacles around the vehicle.
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2:30 - 2:33So all this vast amount of information is then fed into the computer,
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2:33 - 2:35and the computer can do two things.
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2:35 - 2:38One is, first of all, process this information
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2:38 - 2:40to have an understanding of the environment --
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2:40 - 2:43these are the lanes of the road, there's the obstacles --
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2:43 - 2:45and convey this information to the driver.
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2:45 - 2:47The system is also smart enough
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2:47 - 2:49to figure out the safest way to operate the car.
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2:49 - 2:51So we can also generate instructions
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2:51 - 2:53on how to operate the controls of the vehicle.
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2:53 - 2:55But the problem is this: How do we convey
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2:55 - 2:57this information and instructions
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2:57 - 2:59to a person who cannot see
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2:59 - 3:02fast enough and accurate enough so he can drive?
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3:02 - 3:04So for this, we developed many different types
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3:04 - 3:07of non-visual user interface technology.
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3:07 - 3:09So starting from a three-dimensional ping sound system,
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3:09 - 3:11a vibrating vest,
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3:11 - 3:14a click wheel with voice commands, a leg strip,
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3:14 - 3:16even a shoe that applies pressure to the foot.
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3:16 - 3:18But today we're going to talk about
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3:18 - 3:20three of these non-visual user interfaces.
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3:20 - 3:23Now the first interface is called a DriveGrip.
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3:23 - 3:25So these are a pair of gloves,
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3:25 - 3:27and it has vibrating elements on the knuckle part
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3:27 - 3:30so you can convey instructions about how to steer --
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3:30 - 3:32the direction and the intensity.
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3:32 - 3:34Another device is called SpeedStrip.
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3:34 - 3:37So this is a chair -- as a matter of fact, it's actually a massage chair.
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3:37 - 3:41We gut it out, and we rearrange the vibrating elements in different patterns,
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3:41 - 3:44and we actuate them to convey information about the speed,
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3:44 - 3:47and also instructions how to use the gas and the brake pedal.
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3:47 - 3:49So over here, you can see
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3:49 - 3:51how the computer understands the environment,
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3:51 - 3:53and because you cannot see the vibration,
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3:53 - 3:56we actually put red LED's on the driver so that you can see what's happening.
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3:56 - 3:58This is the sensory data,
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3:58 - 4:01and that data is transferred to the devices through the computer.
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4:01 - 4:03So these two devices, DriveGrip and SpeedStrip,
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4:03 - 4:05are very effective.
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4:05 - 4:07But the problem is
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4:07 - 4:09these are instructional cue devices.
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4:09 - 4:11So this is not really freedom, right?
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4:11 - 4:13The computer tells you how to drive --
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4:13 - 4:15turn left, turn right, speed up, stop.
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4:15 - 4:17We call this the "backseat-driver problem."
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4:17 - 4:20So we're moving away from the instructional cue devices,
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4:20 - 4:22and we're now focusing more
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4:22 - 4:24on the informational devices.
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4:24 - 4:26A good example for this informational non-visual user interface
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4:26 - 4:28is called AirPix.
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4:28 - 4:30So think of it as a monitor for the blind.
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4:30 - 4:32So it's a small tablet, has many holes in it,
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4:32 - 4:34and compressed air comes out,
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4:34 - 4:36so it can actually draw images.
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4:36 - 4:38So even though you are blind, you can put your hand over it,
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4:38 - 4:40you can see the lanes of the road and obstacles.
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4:40 - 4:43Actually, you can also change the frequency of the air coming out
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4:43 - 4:45and possibly the temperature.
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4:45 - 4:48So it's actually a multi-dimensional user interface.
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4:48 - 4:51So here you can see the left camera, the right camera from the vehicle
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4:51 - 4:54and how the computer interprets that and sends that information to the AirPix.
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4:54 - 4:56For this, we're showing a simulator,
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4:56 - 4:59a blind person driving using the AirPix.
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4:59 - 5:02This simulator was also very useful for training the blind drivers
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5:02 - 5:04and also quickly testing different types of ideas
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5:04 - 5:06for different types of non-visual user interfaces.
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5:06 - 5:08So basically that's how it works.
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5:08 - 5:10So just a month ago,
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5:10 - 5:12on January 29th,
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5:12 - 5:14we unveiled this vehicle for the very first time to the public
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5:14 - 5:17at the world-famous Daytona International Speedway
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5:17 - 5:19during the Rolex 24 racing event.
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5:19 - 5:22We also had some surprises. Let's take a look.
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5:22 - 5:32(Music)
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5:32 - 5:36(Video) Announcer: This is an historic day in January.
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5:36 - 5:40He's coming up to the grandstand, fellow Federationists.
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5:40 - 5:46(Cheering)
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5:46 - 5:49(Honking)
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5:49 - 5:51There's the grandstand now.
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5:51 - 5:55And he's [unclear] following that van that's out in front of him.
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5:55 - 5:57Well there comes the first box.
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5:57 - 6:00Now let's see if Mark avoids it.
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6:00 - 6:03He does. He passes it on the right.
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6:05 - 6:08Third box is out. The fourth box is out.
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6:08 - 6:11And he's perfectly making his way between the two.
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6:11 - 6:13He's closing in on the van
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6:13 - 6:16to make the moving pass.
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6:17 - 6:19Well this is what it's all about,
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6:19 - 6:23this kind of dynamic display of audacity and ingenuity.
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6:24 - 6:27He's approaching the end of the run,
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6:27 - 6:32makes his way between the barrels that are set up there.
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6:32 - 6:35(Honking)
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6:35 - 6:38(Applause)
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6:41 - 6:43Dennis Hong: I'm so happy for you.
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6:43 - 6:45Mark's going to give me a ride back to the hotel.
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6:45 - 6:47Mark Riccobono: Yes.
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6:50 - 6:59(Applause)
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6:59 - 7:01DH: So since we started this project,
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7:01 - 7:04we've been getting hundreds of letters, emails, phone calls
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7:04 - 7:06from people from all around the world.
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7:06 - 7:09Letters thanking us, but sometimes you also get funny letters like this one:
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7:09 - 7:13"Now I understand why there is Braille on a drive-up ATM machine."
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7:13 - 7:15(Laughter)
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7:15 - 7:17But sometimes --
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7:17 - 7:19(Laughter)
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7:19 - 7:21But sometimes I also do get --
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7:21 - 7:23I wouldn't call it hate mail --
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7:23 - 7:25but letters of really strong concern:
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7:25 - 7:27"Dr. Hong, are you insane,
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7:27 - 7:29trying to put blind people on the road?
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7:29 - 7:31You must be out of your mind."
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7:31 - 7:33But this vehicle is a prototype vehicle,
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7:33 - 7:35and it's not going to be on the road
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7:35 - 7:37until it's proven as safe as, or safer than, today's vehicle.
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7:37 - 7:40And I truly believe that this can happen.
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7:40 - 7:42But still, will the society,
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7:42 - 7:44would they accept such a radical idea?
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7:44 - 7:46How are we going to handle insurance?
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7:46 - 7:48How are we going to issue driver's licenses?
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7:48 - 7:51There's many of these different kinds of hurdles besides technology challenges
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7:51 - 7:54that we need to address before this becomes a reality.
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7:54 - 7:56Of course, the main goal of this project
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7:56 - 7:58is to develop a car for the blind.
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7:58 - 8:00But potentially more important than this
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8:00 - 8:03is the tremendous value of the spin-off technology
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8:03 - 8:05that can come from this project.
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8:05 - 8:07The sensors that are used can see through the dark,
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8:07 - 8:09the fog and rain.
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8:09 - 8:11And together with this new type of interfaces,
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8:11 - 8:13we can use these technologies
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8:13 - 8:15and apply them to safer cars for sighted people.
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8:15 - 8:18Or for the blind, everyday home appliances --
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8:18 - 8:20in the educational setting, in the office setting.
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8:20 - 8:23Just imagine, in a classroom a teacher writes on the blackboard
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8:23 - 8:26and a blind student can see what's written and read
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8:26 - 8:28using these non-visual interfaces.
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8:28 - 8:31This is priceless.
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8:31 - 8:34So today, the things I've showed you today, is just the beginning.
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8:34 - 8:36Thank you very much.
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8:36 - 8:47(Applause)
- Title:
- Making a car for blind drivers
- Speaker:
- Dennis Hong
- Description:
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Using robotics, laser rangefinders, GPS and smart feedback tools, Dennis Hong is building a car for drivers who are blind. It's not a "self-driving" car, he's careful to note, but a car in which a non-sighted driver can determine speed, proximity and route -- and drive independently.
- Video Language:
- English
- Team:
closed TED
- Project:
- TEDTalks
- Duration:
- 08:48
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