How do self-driving cars "see"? - Sajan Saini
-
0:08 - 0:15It’s late, pitch dark, and a self-driving
car winds down a narrow country road. -
0:15 - 0:19Suddenly, three hazards appear
at the same time. -
0:19 - 0:21What happens next?
-
0:21 - 0:24Before it can navigate this
onslaught of obstacles, -
0:24 - 0:26the car has to detect them—
-
0:26 - 0:30gleaning enough information about
their size, shape, and position, -
0:30 - 0:34so that its control algorithms
can plot the safest course. -
0:34 - 0:36With no human at the wheel,
-
0:36 - 0:41the car needs smart eyes, sensors
that’ll resolve these details— -
0:41 - 0:44no matter the environment,
weather, or how dark it is— -
0:44 - 0:46all in a split-second.
-
0:46 - 0:50That’s a tall order, but there’s a
solution that partners two things: -
0:50 - 0:54a special kind of laser-based probe
called LIDAR, -
0:54 - 0:57and a miniature version of
the communications technology -
0:57 - 1:01that keeps the internet humming,
called integrated photonics. -
1:01 - 1:06To understand LIDAR, it helps to start
with a related technology— radar. -
1:06 - 1:07In aviation,
-
1:07 - 1:12radar antennas launch pulses
of radio or microwaves at planes -
1:12 - 1:17to learn their locations by timing
how long the beams take to bounce back. -
1:17 - 1:19That’s a limited way of seeing, though,
-
1:19 - 1:23because the large beam-size
can’t visualize fine details. -
1:23 - 1:26In contrast, a self-driving car’s
LIDAR system, -
1:26 - 1:29which stands for Light Detection
and Ranging, -
1:29 - 1:32uses a narrow invisible infrared laser.
-
1:32 - 1:37It can image features as small as the
button on a pedestrian’s shirt -
1:37 - 1:38across the street.
-
1:38 - 1:42But how do we determine the shape,
or depth, of these features? -
1:42 - 1:48LIDAR fires a train of super-short laser
pulses to give depth resolution. -
1:48 - 1:51Take the moose on the country road.
-
1:51 - 1:56As the car drives by, one LIDAR pulse
scatters off the base of its antlers, -
1:56 - 2:01while the next may travel to the tip
of one antler before bouncing back. -
2:01 - 2:04Measuring how much longer
the second pulse takes to return -
2:04 - 2:07provides data about the antler’s shape.
-
2:07 - 2:13With a lot of short pulses, a LIDAR system
quickly renders a detailed profile. -
2:13 - 2:19The most obvious way to create a pulse
of light is to switch a laser on and off. -
2:19 - 2:23But this makes a laser unstable and
affects the precise timing of its pulses, -
2:23 - 2:26which limits depth resolution.
-
2:26 - 2:27Better to leave it on,
-
2:27 - 2:33and use something else to periodically
block the light reliably and rapidly. -
2:33 - 2:36That’s where integrated photonics come in.
-
2:36 - 2:38The digital data of the internet
-
2:38 - 2:41is carried by precision-timed
pulses of light, -
2:41 - 2:44some as short as a hundred picoseconds.
-
2:44 - 2:49One way to create these pulses is
with a Mach-Zehnder modulator. -
2:49 - 2:53This device takes advantage of a
particular wave property, -
2:53 - 2:55called interference.
-
2:55 - 2:58Imagine dropping pebbles into a pond:
-
2:58 - 3:02as the ripples spread and overlap,
a pattern forms. -
3:02 - 3:05In some places, wave peaks add
up to become very large; -
3:05 - 3:08in other places, they completely
cancel out. -
3:08 - 3:12The Mach-Zehnder modulator
does something similar. -
3:12 - 3:17It splits waves of light along two
parallel arms and eventually rejoins them. -
3:17 - 3:21If the light is slowed down and
delayed in one arm, -
3:21 - 3:26the waves recombine out of sync and
cancel, blocking the light. -
3:26 - 3:28By toggling this delay in one arm,
-
3:28 - 3:34the modulator acts like an on/off switch,
emitting pulses of light. -
3:34 - 3:36A light pulse lasting a hundred
picoseconds -
3:36 - 3:40leads to a depth resolution of a
few centimeters, -
3:40 - 3:43but tomorrow’s cars will need
to see better than that. -
3:43 - 3:48By pairing the modulator with a super-
sensitive, fast-acting light detector, -
3:48 - 3:51the resolution can be refined
to a millimeter. -
3:51 - 3:53That’s more than a hundred times better
-
3:53 - 3:57than what we can make out with
20/20 vision, from across a street. -
3:57 - 4:03The first generation of automobile LIDAR
has relied on complex spinning assemblies -
4:03 - 4:06that scan from rooftops or hoods.
-
4:06 - 4:07With integrated photonics,
-
4:07 - 4:13modulators and detectors are being shrunk
to less than a tenth of a millimeter, -
4:13 - 4:18and packed into tiny chips that’ll one
day fit inside a car’s lights. -
4:18 - 4:22These chips will also include a clever
variation on the modulator -
4:22 - 4:27to help do away with moving parts
and scan at rapid speeds. -
4:27 - 4:31By slowing the light in a modulator
arm only a tiny bit, -
4:31 - 4:36this additional device will act more
like a dimmer than an on/off switch. -
4:36 - 4:41If an array of many such arms, each with
a tiny controlled delay, -
4:41 - 4:45is stacked in parallel, something novel
can be designed: -
4:45 - 4:47a steerable laser beam.
-
4:47 - 4:49From their new vantage,
-
4:49 - 4:52these smart eyes will probe and
see more thoroughly -
4:52 - 4:55than anything nature could’ve imagined—
-
4:55 - 4:58and help navigate any number
of obstacles. -
4:58 - 5:00All without anyone breaking a sweat—
-
5:00 - 5:04except for maybe one disoriented moose.
- Title:
- How do self-driving cars "see"? - Sajan Saini
- Speaker:
- Sajan Saini
- Description:
-
View full lesson: https://ed.ted.com/lessons/how-do-self-driving-cars-see-sajan-saini
It's late, pitch dark and a self-driving car winds down a narrow country road. Suddenly, three hazards appear at the same time. With no human at the wheel, the car uses smart eyes, sensors that'll resolve these details all in a split-second. How is this possible? Sajan Saini explains how LIDAR and integrated photonics technology make self-driving cars a reality.
Lesson by Sajan Saini, directed by Artrake Studio.
- Video Language:
- English
- Team:
- closed TED
- Project:
- TED-Ed
- Duration:
- 05:04
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