Thank you for shortening down to 5 minutes almost the entire course of MS Optoelectronic i took this year. Amazing how concepts such as a MZ modulator and integrated photonics can be explained in such an easy way.
Ted Ed is phenomenal. I’m constantly impressed and thankful for your work in making knowledge so accessible and digestible. I’ve learned so much from watching this channel, and your videos have prompted me to delve deeper into different topics I don’t think I ever would’ve gotten the opportunity to. Thanks for all your hard work❤️
Great job, you have done a great deal of emphasis on the sensor part of a self-driving car. However, you did not mention at all the decision-making mechanism, which is in my opinion, the real challenge of self-driving, I think that video on deep learning would be highly appreciated.
Ted-Ed describes things with so much detail in a way that no other science youtube channel does. Thank you for that. You are an amazing teacher and educator
As someone who doesn't drive for health reasons and wants a fully autonomous vehicle in the future, this was really informative on how self-driving cars actually work! Thanks Ted-Ed :)
Yeah except...visual resolution of lidar (like color) is abysmal-especially for now. Like Elon said, the roads are made for eyes: rely on vision first, supplement with lidar and ultrasonics. I do have to say, mega respect to Ted-Ed, and it’s cool that they talking about the actual electronics of it.
@@jerry3790 LIDAR is inherently better. With camera you're making the machine operate as a human would. That's like designing a car with legs. Sure, it would be cool. I love AT-ATs. But wheels are just so much more practical on a machine. Let a machine be a machine and not emulate nature when there is a better way. Eventually I expect to use a combination of LIDAR with camera backup for extra safety. An IR camera that sees through fog and in pitch darkness that is.
LIDAR is better for depth resolution than stereoscopic photogrammetry. Sensor fusion wouldn't be and issue since the sensors and camera are static relative to each other
어릴 때는 공상과학 영화에서만 나오는 내용이라고 생각했지만, 지금 실제로 시험 운행 중에 있는 자율주행 자동차들을 보면 정말 기술이 많이 발전했다는 것을 느끼고 있습니다. 저는 자율주행 자동차들이 내장되어 있는 카메라로 주변 환경을 본다고 생각했는데, 이 영상을 보니 오히려 박쥐가 초음파를 이용해 길을 찾는 방법과 더 유사한 것 같습니다. 유익한 영상 감사합니다!
@@jasperizak123 That's not true at all. They implemented it into the Dragon Cargo to dock with the ISS. He just said it's useless in a model driven by cameras and neural networks.
I studied physics then dropped out of my full ride with my kid years ago. I did develop an ego because of it because I thought I knew everything. Finding years’ old videos of Ted that I hadn’t realized I missed completely, I realize I know nothing.
1:53 I would suggest thickening the beam, and using a color other than green to represent light bouncing back. The green beam is harder to see because it is against a blue background, and it practically disappears if viewed on the lowest resolution, 144p.
LiDAR is not the only solution to self-driving. It has a lot of advantages, but also just as many disadvantages. The sensors are very expensive. Resolving the detailed features of objects in front of it is not very precise from off-the-shelf low-res hardware which a lot of these cars are equipped with. Plus, the current transportation infrastructure is created for visual perception, because it's driven by people who use visual perception to navigate vehicles; there is something to be said for a solution that uses visual data to navigate over LiDAR.
“Imagination is more important than knowledge. For knowledge is limited to all we now know and understand, while imagination embraces the entire world, and all there ever will be to know and understand.” - Einstein.
Nice presentation, but the real question is what happens when multiple lidars interfere with one another. The chances are low because of the time scales, but if there's a sufficient number of self-driving cars, there's got to be lidar pulse sync at some point between 2 or more cars.
Old country roads, take me home To the place, where I belong In West Virgunia Or should I say: Old self driving car, take me home To the place where I belong In west virginia
Brilliant video. But i believe detection is not the main problem currently, but the main problem is to identify and track objects reliably. And also the ethical dilemma (which is already explained in another ted-ed video).
Collecting cloud of several million precisely positioned 3D points is kind of easy. Figuring out the actual object from that cloud, now THAT is a challenge!
Isn't that mostly a cost question though? If you'd build self driving car with all the best tools, no matter the cost, LiDAR would probably be used. Sense Tesla also want their cars to be affordable, they're using technologies that are cheaper to implement today, at least that's what I've heard. Once LiDAR becomes more affordable and possible at size scales described in this video, Tesla will probably switch to use LiDAR, but will probably still use their software that they're currently pushing to develop and refine.
I'm actually a team leader for a self driving racing car competition in the UK 'FS-AI'. This is a top quality video, however, LiDAR hasn't quite been explained perfectly becuase even the best LiDAR radars only see a very limited slice of the world. Whilst we have LiDAR it's kinda useless, the limited slice that the LiDAR can see makes it very difficult for object recognition as there simply isn't enough data coming from the LiDAR to make any reasonable assumption of the object. We use the Robosense V16 Lidar, which, despite it's high price tag is simply not useable. To get better resolutuion you have to pay vast amounts of money even though they fundemantly have the same issue. What we use instead is stereo vision (Zedd Camera) as you're able to make better object detection useing each image from the camera and using machine vision and the principles of the Fundemental Matrix, we're able to rebuild a higher quaility map of the world.
But zedd cam that doesn't imtegrated by some kind of 3d lidar, doesn't give accurate results especially under extreme weather conditions. How did you manage to do that?
@@selene8734 Firstly, neither does LiDAR in those situations. We solved it using multiple cameras, and a model train on sensor fusion for the various weather conditions
I wish it's applicable to blind people for navigation especially on detecting the height of obstacles... So they know what next step is... Well, there's a limit to everything
My English is bad , so... hope you guys can understand my meaning , I have a question , if one super short laser into the another LIDAR system will have problem?
@ The fact you are saying is completely correct. Almost all inventions are spoiled by some foolish business minds , I hope it will not happen to the future devolepments.
When the laser bounces off of things, doesn't it travel away from the laser? How does the car receive the laser? Does it really travel straight back, even when the surface isn't perpendicular?
Transcript: It’s late, pitch dark, and a self-driving car winds down a narrow country road. Suddenly, three hazards appear at the same time. What happens next? Before it can navigate this onslaught of obstacles, the car has to detect them- gleaning enough information about their size, shape, and position, so that its control algorithms can plot the safest course. With no human at the wheel, the car needs smart eyes, sensors that’ll resolve these details- no matter the environment, weather, or how dark it is- all in a split-second. That’s a tall order, but there’s a solution that partners two things: a special kind of laser-based probe called LIDAR, and a miniature version of the communications technology that keeps the internet humming, called integrated photonics. To understand LIDAR, it helps to start with a related technology- radar. In aviation, radar antennas launch pulses of radio or microwaves at planes to learn their locations by timing how long the beams take to bounce back. That’s a limited way of seeing, though, because the large beam-size can’t visualize fine details. In contrast, a self-driving car’s LIDAR system, which stands for Light Detection and Ranging, uses a narrow invisible infrared laser. It can image features as small as the button on a pedestrian’s shirt across the street. But how do we determine the shape, or depth, of these features? ----------------------
![Coheed and Cambria - Searching for Tomorrow [Official Video]](http://i.ytimg.com/vi/hDsYGLbmadg/mqdefault.jpg)
This narration and animation can make anything interesting
Next “the science of taking a poop” or “how to make an average sandwich”
IKR. Like I wish we could like watch videos in school like this! If we did I would be able to learn a lot better. I would be making 100 A's.
I love the narrator's voice too
Ted-Ed always coming with the answers to question I ask in my head but never say out loud
Yoi banget
MATH Genius that was beautifully said
The funny thing is that Tesla don't use Lidar due to its high cost and low reliability
You really pretty Dani
Thank you for shortening down to 5 minutes almost the entire course of MS Optoelectronic i took this year. Amazing how concepts such as a MZ modulator and integrated photonics can be explained in such an easy way.
Ted Ed is phenomenal. I’m constantly impressed and thankful for your work in making knowledge so accessible and digestible. I’ve learned so much from watching this channel, and your videos have prompted me to delve deeper into different topics I don’t think I ever would’ve gotten the opportunity to. Thanks for all your hard work❤️
I love the tone of this Narrator the most, I could listen to him all day
Self-driving car: "sees" a pedestrian with a club
Self-driving car: "Why do i hear boss music?"
self-driving car- *switches to manual
gamer in car-*it's showtime
The club: Alright! Here we go again
@Aaron Yu **Jazz music stops**
purification in progress
wonderful animation as always!
Great job, you have done a great deal of emphasis on the sensor part of a self-driving car. However, you did not mention at all the decision-making mechanism, which is in my opinion, the real challenge of self-driving, I think that video on deep learning would be highly appreciated.
Ted-Ed describes things with so much detail in a way that no other science youtube channel does. Thank you for that. You are an amazing teacher and educator
As someone who doesn't drive for health reasons and wants a fully autonomous vehicle in the future, this was really informative on how self-driving cars actually work! Thanks Ted-Ed :)
Ted-Ed always answers my everyday questions. What a splendid RUclips channel!
*A better question*
How does a Tow Truck drive backwards at 80 km/h and becomes a secret agent
The best movie.
I understood that reference
Havent thought of this before! The scientists and engineers who invented LIDAR are really innovative. Can LIDARs see color too?
Yeah except...visual resolution of lidar (like color) is abysmal-especially for now. Like Elon said, the roads are made for eyes: rely on vision first, supplement with lidar and ultrasonics. I do have to say, mega respect to Ted-Ed, and it’s cool that they talking about the actual electronics of it.
Then maybe pursue more scientific qualifications and publish a video yourself?
Lidar doesn't have anything to do with color. It just generates a point cloud that is converted to a 3d image
Real N He does have a point though, while Lidar as a technology is cool, camera technology is getting to a point where it’s no longer necessary.
@@jerry3790 LIDAR is inherently better. With camera you're making the machine operate as a human would. That's like designing a car with legs.
Sure, it would be cool. I love AT-ATs. But wheels are just so much more practical on a machine. Let a machine be a machine and not emulate nature when there is a better way. Eventually I expect to use a combination of LIDAR with camera backup for extra safety. An IR camera that sees through fog and in pitch darkness that is.
LIDAR is better for depth resolution than stereoscopic photogrammetry. Sensor fusion wouldn't be and issue since the sensors and camera are static relative to each other
I have seen CARS movie enough times to believe cars have eyes in their windows and the ventilation as their mouth
Makarov -Father of fairies top ten smartest people in the world
👌🏻👏 congrats 🎉
Yes and I can feel whether the car is angry or happy.
무인자동차가보는 방법을 구체적으로 배워보는 좋은 시간이 되었습니다. 무인자동차의 과학적원리가 참 대단해 보였습니다. 저의 궁금증이 하나 더 해결되었습니다. 좋은 영상 감사합니다.
어릴 때는 공상과학 영화에서만 나오는 내용이라고 생각했지만, 지금 실제로 시험 운행 중에 있는 자율주행 자동차들을 보면 정말 기술이 많이 발전했다는 것을 느끼고 있습니다. 저는 자율주행 자동차들이 내장되어 있는 카메라로 주변 환경을 본다고 생각했는데, 이 영상을 보니 오히려 박쥐가 초음파를 이용해 길을 찾는 방법과 더 유사한 것 같습니다. 유익한 영상 감사합니다!
But Tesla doesn’t use Lidar, so we need another video
Yup. Elon does not like LiDAR
He is using golems
They need another title like "HOW LIDAR WORKS". Self driving is not exclusive to cars using LIDAR.
@@jasperizak123 That's not true at all. They implemented it into the Dragon Cargo to dock with the ISS. He just said it's useless in a model driven by cameras and neural networks.
how do you know 🤓🤓🤓🤓🤓🤓🤓🤓🤓🤓🤓🤓🤓🤓🤓
A vey satisfying video.
Some of the best narration on RUclips
This channel deserves more likes and views.
We take technology as granted we don't realize how complex it is until someone make video like this.
Maybe not all.
What a great and simple explanation of solid state lidar, I am impressed!
TED-Ed awsering question, that i may never use in real life.
This why they're the best!
Another gem from TED after long time 💎❤️
I think we can all agree that, this person is our favorite ted-ed narrator.
Forever answering questions I never asked but am fascinated by the answer
4:58
Person who manufactured the car: "Am I a joke to you?"
Machines do most of that work as well to be honest.
@@ghostderazgriz But their work cannot be counted as labour.
@@stormysamreen7062 exactly?
This makes you appreciate your eyes. Your eyes and brain does this naturally.
I highly recommend Lex Friedmans series on autonomous vehicles. Great introduction into the self driving space.
Keep posting these type of animations to help us learn practically......
I studied physics then dropped out of my full ride with my kid years ago. I did develop an ego because of it because I thought I knew everything. Finding years’ old videos of Ted that I hadn’t realized I missed completely, I realize I know nothing.
*They are watching us - ALWAYS*
Good learning....ted make rockz...brave voice. Clear and sharp to listen..
That is actually a question I still wonder until now, though, thank you.
1:53 I would suggest thickening the beam, and using a color other than green to represent light bouncing back. The green beam is harder to see because it is against a blue background, and it practically disappears if viewed on the lowest resolution, 144p.
Ted Ed needs to open a school these vids are so great
The best answers and information
keep up the good work, thanks for explaining complex things simply,
2:27 "Use something else"
Literally
Oh I just noticed that it's labeled that way xD that's hilarious.
Damn ! You're uploading this video right after i created a self driving car program !
Crazy! These people are incredible
*As our mobile phones know where we are, where we should go and where is the nearest coffee shop.*
We are being constantly tracked.
As always sooting voice of narrator and intelligible animation
👌
I love you people who create this video.
TedEd astounds yet again!
#TedEd-at-its-best!
My IQ has risen! Thank you for answering the questions I ask myself in my head!!!!
‘Anyone relying on lidar is doomed,’ -Elon Musk
Daamn, J'allais dire la même chose!
@@karasira2696 trop tard
Exactly what I thought 😂
77
LiDAR is not the only solution to self-driving. It has a lot of advantages, but also just as many disadvantages. The sensors are very expensive. Resolving the detailed features of objects in front of it is not very precise from off-the-shelf low-res hardware which a lot of these cars are equipped with. Plus, the current transportation infrastructure is created for visual perception, because it's driven by people who use visual perception to navigate vehicles; there is something to be said for a solution that uses visual data to navigate over LiDAR.
“Imagination is more important than knowledge. For knowledge is limited to all we now know and understand, while imagination embraces the entire world, and all there ever will be to know and understand.” - Einstein.
it is just awesome
You are best at explaining
thanks ted-ed i was planing to make a project on it and you just made it more intresting
thanks for the lesson ted
Nice presentation, but the real question is what happens when multiple lidars interfere with one another. The chances are low because of the time scales, but if there's a sufficient number of self-driving cars, there's got to be lidar pulse sync at some point between 2 or more cars.
Love your animation 😇 and the narrator.
Old country roads, take me home
To the place, where I belong
In West Virgunia
Or should I say:
Old self driving car, take me home
To the place where I belong
In west virginia
I wonder what quality content I would watch if Ted Ed didn't exist?
this is some hardcore electrical engineering, humans did come a long way
2020 vision?
I see TED-Ed is cultured organization as well.
I can’t see into the future because I don’t have 2020 vision.
_HOW DO SELF-DRIVING CARS "SEES"..._
*Pixar:* Hold my vodka
Lol
Good one...Lol.
I've literally been asking this question in my mind a lot haha!
I'm gonna take my *self driving car* to the old town roooooad
Brilliant video. But i believe detection is not the main problem currently, but the main problem is to identify and track objects reliably. And also the ethical dilemma (which is already explained in another ted-ed video).
I love those quotes before videos 📕👏
Another amazing video with great animation ted-ed...
Iam fan of your channel.. It gives me more knowledge
Thank you ted-ed...🙏👍
Quite interesting. Top-notch narration and animation. Loved it❤
TED-Ed again with super simple animation and great explanation, Keep Going >>
Collecting cloud of several million precisely positioned 3D points is kind of easy. Figuring out the actual object from that cloud, now THAT is a challenge!
thank you TED-Ed for this wholesome break from the James/Tati drama
Except Tesla doesn't use Lidar and is the best self-driving car on the road today
Tesla cars aren't self driving, only Level 2
@@jojodroid31 Elon Musk is offended by this video. He shat on Lidar at the latest tesla presentation xD
Lidar is costly, heavy and bulky, and not completely reliable. Elon is right
@@shivamtyagi677 From your answer I recon you watched Real Engineering's recent video.
Isn't that mostly a cost question though? If you'd build self driving car with all the best tools, no matter the cost, LiDAR would probably be used. Sense Tesla also want their cars to be affordable, they're using technologies that are cheaper to implement today, at least that's what I've heard.
Once LiDAR becomes more affordable and possible at size scales described in this video, Tesla will probably switch to use LiDAR, but will probably still use their software that they're currently pushing to develop and refine.
I'm actually a team leader for a self driving racing car competition in the UK 'FS-AI'. This is a top quality video, however, LiDAR hasn't quite been explained perfectly becuase even the best LiDAR radars only see a very limited slice of the world. Whilst we have LiDAR it's kinda useless, the limited slice that the LiDAR can see makes it very difficult for object recognition as there simply isn't enough data coming from the LiDAR to make any reasonable assumption of the object. We use the Robosense V16 Lidar, which, despite it's high price tag is simply not useable. To get better resolutuion you have to pay vast amounts of money even though they fundemantly have the same issue. What we use instead is stereo vision (Zedd Camera) as you're able to make better object detection useing each image from the camera and using machine vision and the principles of the Fundemental Matrix, we're able to rebuild a higher quaility map of the world.
But zedd cam that doesn't imtegrated by some kind of 3d lidar, doesn't give accurate results especially under extreme weather conditions. How did you manage to do that?
@@selene8734 Firstly, neither does LiDAR in those situations. We solved it using multiple cameras, and a model train on sensor fusion for the various weather conditions
Mesmerising !
It's baffling, we didn't even know how to conduct electricity a few hundred years ago, and now we're at autonomous cars.
I got a self driving car ad before this!
I like your videos so much it really is a great educational channel
I wish it's applicable to blind people for navigation especially on detecting the height of obstacles... So they know what next step is... Well, there's a limit to everything
Self-driving car: *sees an insect 10 meters infront.*
Self-driving car: *Drifts like Vin Diesel.*
Good video
Nice, I work with lidar to use on self driving car in California
My English is bad , so... hope you guys can understand my meaning ,
I have a question , if one super short laser into the another LIDAR system will have problem?
Sometimes I think the eyes of that car is better than the eyes of a typical driver.....
@ these drawbacks are today's challenges and will be tomorrow's achievements...
@ The fact you are saying is completely correct. Almost all inventions are spoiled by some foolish business minds , I hope it will not happen to the future devolepments.
@@PARALLELPEOPLEAKSHAYB It will. New technologies have always and will always be abused by special interest groups
@@YourFatherVEVO I am not as experienced as you are ,mey be that's why I have hope... I am a student ready to enter the nonotech research programs .
Whatever a Mach-sender modulator is, it sure sounds like it is cool
Oh nice one of the first time to be here so early
Amazing 👍🏻
I'm purchasing this car....
wow thank u so much sir
To see is one thing, to decide which one to crash to is another...
118 liker and 7 minutes ago uploaded AND NOTIFICATION SQUADD!!!
Jesus these guys are fast
Awsome work❤
What if a selfdriving car meets another selfdriving car? Will they collide??
The guy who narrates these should do audiobooks if he doesn’t already.
I came from the touchscreen ted ed
Same
Thank you
When the laser bounces off of things, doesn't it travel away from the laser?
How does the car receive the laser? Does it really travel straight back, even when the surface isn't perpendicular?
part of gets deflected and some traces back the same path
Transcript:
It’s late, pitch dark, and a self-driving car winds down a narrow country road. Suddenly, three hazards appear at the same time. What happens next? Before it can navigate this onslaught of obstacles, the car has to detect them- gleaning enough information about their size, shape, and position, so that its control algorithms can plot the safest course. With no human at the wheel, the car needs smart eyes, sensors that’ll resolve these details- no matter the environment, weather, or how dark it is- all in a split-second. That’s a tall order, but there’s a solution that partners two things: a special kind of laser-based probe called LIDAR, and a miniature version of the communications technology that keeps the internet humming, called integrated photonics. To understand LIDAR, it helps to start with a related technology- radar. In aviation, radar antennas launch pulses of radio or microwaves at planes to learn their locations by timing how long the beams take to bounce back. That’s a limited way of seeing, though, because the large beam-size can’t visualize fine details. In contrast, a self-driving car’s LIDAR system, which stands for Light Detection and Ranging, uses a narrow invisible infrared laser. It can image features as small as the button on a pedestrian’s shirt across the street. But how do we determine the shape, or depth, of these features?
----------------------
Question : what if many cars hit each other with lidars? How the car tell the different between laser beam from other cars?
I love ted ed 💞♥️😍
I had an ad of safely driving cars before this video