The following is a summary and article by AI based on a transcript of the video "Why You Should Want Driverless Cars On Roads Now". Due to the limitations of AI, please be careful to distinguish the correctness of the content.
00:00 | - All right, I'm about to go for my first ever ride |
---|---|
00:02 | in a fully autonomous vehicle. |
00:09 | Whoa, no driver. |
00:14 | All right. |
00:15 | - [Electronic Voice] Good morning, Derek. |
00:16 | This car is all yours with no one up front. |
00:19 | - I really like the idea of fully autonomous vehicles, |
00:22 | but it's weird getting into a car with no driver |
00:26 | and just trusting the car. |
00:28 | I'm gonna report back how this ride goes |
00:32 | and how I feel about it. |
00:34 | Oh, but full disclosure, this video is sponsored by Waymo. |
00:41 | (car door clicking) |
00:43 | (seatbelt clicking) |
00:44 | Start ride. (car navigation chiming) |
00:46 | Ha ha! |
00:47 | - [Electronic Voice] Make sure your seatbelt is fastened. |
00:49 | (Derek vocalizes) For any questions, |
00:50 | press the Help button to speak with a rider support agent. |
00:53 | - Okay. Now let's see where we go. |
00:56 | It's looking at this car coming here. What's it gonna do? |
01:00 | Oh, and it pulls in very smoothly behind it. |
01:04 | No problems. Did not turn into traffic. |
01:06 | Waited until the cars went, and then it turned. |
01:09 | I like that. |
01:11 | I polled YouTube viewers about autonomous vehicles |
01:14 | and half of you are excited |
01:16 | and ready for them to be on the roads, |
01:18 | but over 40% said you thought the technology |
01:21 | was still over 10 years away. |
01:24 | And for those people, I have news, |
01:26 | which is that, well, there is no driver in this car. |
01:30 | I'm currently inside a fully autonomous vehicle driving |
01:34 | around a suburb of Phoenix, Arizona. |
01:37 | Now I get that in some parts of the world, |
01:39 | like, the roads aren't well enough maintained |
01:41 | and people don't stay in their lane necessarily, |
01:44 | and so it'd be very hard for a computer to drive there, |
01:46 | but at least under good conditions, |
01:49 | the technology is currently functional. |
01:51 | (downtempo music) |
01:57 | (bright comedic music) |
01:58 | - Now Waymo started out |
02:00 | as the Google self-driving car project |
02:02 | with what is possibly one of the cutest cars ever made. |
02:08 | I am inside the world's first fully autonomous vehicle. |
02:12 | Back in October 2015, this car went on a public road, |
02:17 | ridden by Steve Mann, |
02:19 | who has a disability, he is legally blind, |
02:22 | but he could get around in this thing, |
02:25 | which is affectionately known as the Firefly. |
02:28 | This is such a simple vehicle. |
02:30 | There's basically nothing in here. |
02:32 | There's no steering wheel, no dashboard. |
02:34 | This car is super basic. |
02:36 | There is no AC, but there is an emergency stop button. |
02:40 | (button cover clicks) |
02:41 | That's my favorite button in the car. |
02:43 | It reminds me of elevators. |
02:45 | One of the important measures that they had to put |
02:47 | in automatic elevators was a big red stop button. |
02:51 | Did you know that before the 1940s, |
02:53 | almost all elevators had drivers in them? |
02:56 | And when people started putting in driverless elevators, |
03:00 | well, the public was very concerned, |
03:02 | and they didn't wanna ride in those elevators. |
03:03 | There was one guy who was like, |
03:04 | "I don't care if I have to walk up 12 flights of stairs |
03:07 | for the rest of my life. |
03:08 | I'm not taking that elevator." |
03:10 | And adoption was slow. |
03:11 | I mean, they tried to advertise |
03:12 | to help people understand that it was in fact safe, |
03:15 | but, ultimately, there was an elevator drivers strike |
03:18 | in New York City, and that really annoyed people, |
03:21 | and it helped the adoption of automated elevators. |
03:25 | If you found a driver in an elevator today, |
03:27 | you would wonder, "Why are they there?" |
03:30 | Now you might think an elevator is just so simple, |
03:32 | I mean, it is effectively one dimensional motion, |
03:35 | but airplanes are also flown extensively by computers. |
03:40 | (tense percussive music) |
03:42 | I saw this particular landing |
03:44 | where a plane is coming in into Vienna, |
03:47 | and it's just so foggy |
03:48 | that the pilots can see almost nothing. |
03:50 | I mean, this is the view from the cockpit, |
03:53 | and yet, they make a perfect, |
03:55 | a textbook landing right on target. |
03:58 | So how do they do it? |
04:00 | The answer is the pilots didn't do it. |
04:03 | It was a CAT II autoland procedure. |
04:05 | The plane just came in and landed itself essentially. |
04:09 | Now, of course, the pilots are important |
04:11 | and they're monitoring all of the instruments and controls, |
04:15 | but it's actually the plane |
04:17 | and its computer getting the plane to land appropriately. |
04:20 | I was surprised to learn that humans are much more likely |
04:24 | to take manual control and land on sunny days, |
04:28 | like July 6th, 2013, when Asiana Airlines flight 214 |
04:32 | was on final approach to San Francisco. |
04:35 | Attempting to manually land the plane, |
04:37 | the pilot accidentally left the throttle at zero, |
04:40 | and by the time they realized |
04:42 | and tried to abort the landing, it was too late. |
04:46 | The plane crashed into the runway seawall and split in two. |
04:51 | Three people died in the aftermath of this accident. |
04:55 | I think the counterintuitive thing |
04:57 | is that we expect the humans to be better, |
05:00 | particularly in tough situations, |
05:02 | but when it comes to airplanes, if it's bad weather, |
05:05 | you actually want the plane flying itself. |
05:09 | So the obvious next question is, |
05:11 | would you want the same thing for cars? |
05:13 | (oscillating music) |
05:15 | There are all these different levels of autonomy, |
05:17 | and everything up to four requires a human driver |
05:20 | to be responsible and have the wheel at all times. |
05:24 | In the early days of the Google self-driving car project, |
05:27 | they had a vehicle that was not yet level four, |
05:29 | so it still required a human driver. |
05:31 | They let Google employees borrow the cars, |
05:34 | but they still had to be in control of the wheel. |
05:36 | And the volunteers were informed |
05:38 | that they were responsible for the car at all times |
05:41 | and that they would be constantly recorded, |
05:42 | like video recorded, while they were in the car. |
05:45 | But still, within a short period of time, |
05:47 | the engineers observed drivers rummaging around |
05:50 | in their bags or checking phones, putting on makeup, |
05:53 | or even sleeping in the driver's seat. |
05:57 | All these drivers were trusting the technology too much, |
06:00 | which makes almost fully autonomous vehicles |
06:03 | potentially more dangerous than regular cars, |
06:06 | I mean, if the driver is distracted |
06:07 | or not prepared to take over. |
06:10 | So this is why Waymo decided |
06:12 | that the only safe way to proceed is with a car |
06:14 | that has at least level four autonomy. |
06:21 | This is the depot where the cars go |
06:23 | when they're not on the road. |
06:24 | And it's also where people monitor |
06:26 | all the rides in progress. |
06:28 | - Yes, so that's where my team sits. |
06:30 | You see three teams basically here. |
06:32 | One of the teams is my team of fleet dispatchers, |
06:35 | so basically making sure |
06:36 | that all the mission are assigned every day |
06:39 | and they are completed successfully on the road. |
06:41 | And then you have the Rider Support team |
06:42 | that takes the calls. |
06:45 | (electronic tone chiming) |
06:46 | - [Beulah] Thank you for calling the Waymo Rider Support. |
06:48 | This is Beulah, how can I help today? |
06:50 | - I just completed my ride, |
06:51 | but I don't wanna get out of the car. |
06:53 | I just wanna keep driving. |
06:54 | Is there a way that I can do that? |
06:55 | - [Beulah] Right now, I don't see a trip started. |
06:58 | Give me one moment here while I partner with my team, okay? |
07:00 | - Okay. |
07:06 | (chuckling) Well, I just left all my stuff in the car. |
07:11 | I hope it comes back. |
07:17 | (car humming) |
07:18 | - I think there's a lot of, still, resistance |
07:21 | in terms of trusting the vehicle. |
07:24 | And they ask you like, |
07:26 | "How does it feel to be in a car without the driver?" |
07:29 | I was the first person to do public roads, |
07:33 | fully driverless ride at night. |
07:35 | I always share the experience with them. |
07:36 | It takes about two minutes for you to completely forget |
07:40 | that you are in a driverless vehicle. |
07:42 | If the system really provides that feeling that you're safe |
07:47 | and you see a couple of maneuvers, |
07:48 | in less than two minutes, |
07:49 | you're talking to whoever is next to you |
07:51 | and not paying attention to what's happening anymore. |
07:56 | - Whoa, all right, it doesn't make the indicator sound, |
08:00 | so I just don't know when it's going to turn, |
08:04 | but if I was watching the map, I would know. |
08:08 | I think we have this bias to believe |
08:11 | that we're better at certain tasks than we actually are, |
08:14 | like thinking that people are good at driving. |
08:17 | Surveys show 74% of people believe |
08:20 | they are above average drivers. |
08:23 | Think about that. |
08:25 | In the 20th century, |
08:26 | 60 million people were killed on the road. |
08:28 | That's basically an extra world war's worth of deaths. |
08:32 | And we really have no one to blame but ourselves. |
08:34 | The National Transportation and Safety Board |
08:36 | has identified human error as the cause of 94% of accidents. |
08:41 | Most of these errors are impossible for a machine to make. |
08:46 | Every year when people are backing out |
08:48 | of driveways or parking spaces, |
08:51 | in the U.S, up to 200 people are killed, |
08:54 | and it's frequently older people or children, |
08:57 | the children of the drivers. |
08:59 | It's awful. |
09:00 | And it comes down to the fact |
09:01 | that we don't have eyes in the back of our head, |
09:03 | and even the backup cameras still have blind spots. |
09:07 | But if you have a vehicle that has LiDAR |
09:10 | and radar and 29 cameras, |
09:13 | you're just not going to hit them. |
09:16 | Up here in the very prominent top, there is a 360 LiDAR. |
09:21 | So it can see all around the car. |
09:23 | It can see up to 300 meters away with a LiDAR. |
09:27 | The way the LiDAR works |
09:29 | is it shoots out invisible laser beams, |
09:32 | scanning around millions of times a second, |
09:35 | and then it detects the reflection, |
09:37 | and how long it takes to come back allows you |
09:39 | to determine how far it is to that object. |
09:42 | So what it's doing is like painting a 3D picture |
09:45 | of the world. |
09:47 | There are 29 cameras around this vehicle, |
09:50 | which gives you full 360 vision. |
09:53 | It gives you close range vision, |
09:55 | what is right next to the car, |
09:56 | and also long range vision, going out 500 meters. |
10:01 | This car could detect a stop sign |
10:02 | or a pedestrian 500 meters away. |
10:05 | How many of us have eyesight that is that good? |
10:08 | There is also a microphone up on top |
10:12 | to listen to what's happening in the environment, |
10:14 | and if there are sirens, |
10:16 | then the car will pull over to the side of the road. |
10:19 | It's gotta be able to respond to emergency vehicles. |
10:22 | (light percussive music) |
10:31 | What I wanna see here is, how does it handle a parking lot |
10:36 | where there's people driving in unusual ways |
10:39 | and possibly pedestrians walking around? |
10:42 | (car humming) |
10:46 | (tires squeak) Whoa. |
10:48 | That was a sudden stop. |
10:52 | The car made a pretty hard stop there. |
10:53 | I think it saw that guy with a cart coming up |
10:56 | on a pedestrian crosswalk. |
10:57 | And one of the interesting things |
10:59 | that the vehicle is always doing |
11:01 | is not only seeing where things are |
11:03 | and where they're going, but also making predictions |
11:06 | about where they're likely to go. |
11:08 | So this car doesn't just have one potential future. |
11:12 | It's constantly imagining, |
11:13 | "Well, he might cross at the crosswalk," |
11:15 | or, "He might keep going," or, "He might turn left," |
11:18 | and so it has to be prepared |
11:20 | for all of those different options. |
11:22 | And it even weights the options of like how likely it thinks |
11:25 | that he's gonna go on the crosswalk |
11:27 | versus go straight versus turn. |
11:29 | And you can see that with the thickness of the line |
11:32 | in the little simulated graphic that they have. |
11:37 | (seatbelt clicking) Phew. |
11:38 | A few years back, I think a lot of people were talking |
11:40 | about how autonomous vehicles have to figure out |
11:44 | who to hit in case of an accident, |
11:46 | like do the pick the orphan or the nun? |
11:49 | Should the car hit the motorcyclist with the helmet on |
11:51 | because his injuries might be less severe |
11:53 | or should the car hit the motorcyclist |
11:55 | who does not have a helmet on |
11:56 | because he did not properly protect himself? |
11:59 | If cars were programmed |
12:00 | to hit the motorcyclist with the helmet, |
12:02 | that would mean that, in a way, |
12:03 | it would become safer to ride without a helmet. |
12:05 | (whimsical music) |
12:06 | But the reality is that 99% of accidents aren't like that. |
12:11 | Every year, around 1.3 million people are killed |
12:15 | on the roads, almost all of them due to human error. |
12:19 | If autonomous cars can reduce these fatalities, |
12:22 | then the real moral dilemma |
12:23 | is not getting them on the road sooner |
12:25 | for fear we haven't worked out exactly how they'll react |
12:28 | to extremely unlikely hypothetical scenarios. |
12:33 | I think humans are becoming worse drivers |
12:36 | because we're just so prone to distraction. |
12:38 | (light contemplative music) |
12:39 | Think about the main reasons why cars crash: |
12:44 | because people are speeding, |
12:46 | they're under the influence, they're distracted. |
12:50 | I mean, these sorts of problems, |
12:53 | an autonomous vehicle would not have. |
12:55 | You don't get a distracted driver. |
12:57 | The ultimate question, right, that everyone wants to know, |
12:59 | that I want to know the answer to is, |
13:02 | as these vehicles stand, (car electronic beeping) |
13:03 | are they better than the average human? |
13:05 | Not than the best human, but just like an average human. |
13:08 | Like replacing some random car on the street |
13:11 | with one of these vehicles, does that make the road safer? |
13:13 | - Yes, it does. |
13:14 | I think we would never launch a rider-only service |
13:19 | if we did not meet that base safety framework. |
13:23 | - If that's true, it means like every vehicle |
13:27 | that's not on the road is kind of a worse situation, |
13:31 | do you know what I mean? - We are really working |
13:33 | really hard to launch this in larger areas |
13:36 | and new areas too, but we need to have the experience |
13:39 | to show the regulators why we believe it's safer, |
13:42 | and, for that, you need to be driving miles, |
13:45 | a number of miles that you feel comfortable with, |
13:48 | statistically speaking. |
13:50 | - These vehicles have way more experience |
13:52 | than any human driver because they've now accumulated data |
13:56 | over 20 million miles of driving on public roads. |
14:00 | If you were an average driver, |
14:02 | you'd have to drive for a thousand years |
14:05 | to accumulate that sort of experience. |
14:07 | And all of that experience can be used |
14:09 | to train the systems, to fix the software, |
14:11 | and used across all the vehicles in the fleet. |
14:15 | In 2019, Waymo released a study of its data, |
14:18 | over 6.1 million miles of automated driving |
14:21 | in the Phoenix, Arizona metropolitan area. |
14:24 | Of the 18 total accidents that occurred during the study, |
14:27 | none were serious enough |
14:29 | to expect significant injury or death. |
14:31 | In Waymo's Safety Report, |
14:32 | they found some types of accidents |
14:34 | have been completely eliminated |
14:37 | by this autonomous driving system, |
14:39 | like the car doesn't go off the road |
14:42 | and it doesn't hit stationary objects. |
14:44 | Humans, humans do those things. |
14:47 | If you look at the eight significant accidents |
14:51 | that happened with Waymo vehicles |
14:52 | over the six million miles of driving, |
14:55 | all eight of them involve a human driver |
14:58 | of another vehicle doing something stupid, |
15:01 | like driving on the wrong side of the road |
15:03 | or running a red light |
15:04 | or going through a stop sign or failing to yield |
15:07 | or going 20 miles per hour over the speed limit. |
15:10 | There were three incidents involving Waymo vehicles |
15:13 | and pedestrians, but in all three, |
15:17 | the Waymo vehicle was stationary and the pedestrian |
15:21 | or cyclist/skateboarder ran into the vehicle. |
15:26 | Waymo also takes some of that real-world data |
15:29 | and they put it into simulations and they tweak it a bit. |
15:33 | So they try adding like a bicyclist going fast |
15:36 | or going slow, or they make the car turn faster or slower. |
15:39 | So they change all these parameters and variables, |
15:42 | and they see what the software will do. |
15:44 | And they've trained the software |
15:46 | on an additional 20 billion miles of driving, |
15:49 | not on the road but in the simulation, |
15:51 | so that's a thousand times more experience again. |
15:56 | The question for me is, |
15:58 | when is stepping inside an autonomous car |
16:01 | gonna feel the same as stepping inside an elevator? |
16:05 | Because I think that time may be coming sooner |
16:07 | than you think. |
16:09 | I like the idea of this technology, |
16:10 | but, honestly, getting in the car, |
16:11 | I wasn't quite sure how I would feel. |
16:14 | I was a little bit uncertain, |
16:16 | but once I saw it just handles so confidently... |
16:19 | Like driving is one of those things |
16:20 | that I feel like you can't hide |
16:21 | whether you're a good or bad driver. |
16:22 | It's just like, "Oh, what's gonna happen |
16:24 | when there's a parked car or a cyclist or a pedestrian," |
16:27 | and it just sort of handles all those situations |
16:30 | with such confidence and ease |
16:32 | that I think I stopped thinking about it. |
16:34 | - After they pass a couple of your mental tests, |
16:36 | you're like, "I'm good." |
16:38 | I think, again, "I'll be okay." (chuckling) |
16:40 | - Yeah, yeah, I felt the same way. |
16:41 | I think a lot of people miss the bigger implications |
16:44 | of what is achievable |
16:45 | once fully autonomous driving is commonplace. |
16:48 | Riders with disabilities, seniors, |
16:50 | and the blind can get around more easily. |
16:52 | Transportation will get cheaper. |
16:54 | Think of all the wasted value in the cars |
16:56 | that spend over 95% of their time parked. |
17:00 | We can regain a bunch of time and feel happier |
17:03 | because commuting and being stuck in traffic sucks. |
17:07 | We can reduce traffic |
17:09 | because vehicles will have better awareness of each other. |
17:11 | You can imagine one day |
17:13 | when all the cars are fully autonomous, |
17:14 | they can execute a beautiful ballet driving together, |
17:18 | and when that time comes, we can eliminate parking lots |
17:21 | and add green spaces to our cities. |
17:23 | And, most importantly, |
17:24 | widespread adoption of autonomous cars |
17:26 | could prevent tens of thousands of fatalities |
17:29 | in the U.S. alone. |
17:30 | When do you think that this will be a reality, |
17:33 | but clearly it's coming, |
17:34 | but when? - Yeah. |
17:35 | If you're talking about big cities, |
17:37 | I'm hoping the next five years will be really game changing. |
17:40 | - [Derek] I'm excited to see it. |
17:41 | - Me too, believe me. Believe me. |
17:43 | I just don't want to commute to work anymore. |
17:45 | I would love to sit in the backseat, |
17:46 | do my work on the way there and on the way back. (chuckling) |
17:49 | - [Derek] Or do something fun, watch a movie. |
17:51 | - Or sleep, yeah. (chuckling) |
17:52 | (futuristic tones beeping) |
17:53 | (frequency tone whistling) |