Very nice indeed! to be honest you need to up the quality, of the video presentations on here.

Good that you allow comments. I think you would benefit from higher quality cameras, not just resolution but tonal and color precision. The higher quality data should allow easier learning. Also can image synthesis ever hope to be high enough quality to be useful for training? it seems like it's a fruitless approach.

This actually can replace black cab drivers , we can still have the famous cabs but without grumpy Fella’s in who drives dodgy and had cockney accent

impressive!

I wonder how long before Tesla drivers and investors start paying attention to this video. Elon, you have a problem. Btw they just gave the AI the UK highway code book as a pdf and just videos of other drivers. Wow, just wow.

Impressive!

This is certainly impressive. Once the Wayve car can meet another vehicle on a single track road, remember that it passed a passing place not too far back, and then reverse into it, then I really will bow down and say that AI is fully human equivalent, and better than most drivers.

It blows my mind that if a video like this was put out by Tesla it would have hundreds of thousands of views and hundreds of comments, and yet here is a clearly superior technology and this is the first comment, 6 months after the video was released! I was beginning to lose faith that we would see self driving in wide availability in my lifetime (as I am quite old), but this video has restored my faith. I hope Wayve prospers even though capital is no longer easy to raise.

Uber drivers soon finished.

The neural net must be wondering where all the traffic lights are ;p

What does the car do in a situation in a single lane with passing places if neither vehicle can pass without one backing up? How is that negotiated with the oncoming vehicle? Or the one behind you?

Hm yeah nothing has changed Tesla does the exact same thing and once in mass used caused many deaths this is a shame learn no one wants a true self drivng car make auto pilot not this.

Thank you. Just for curious, when regarding NeRF, is NVidia’s instant-ngp technology utilized in your work?

You should release the driving simulator to the public as a game! It would be so fun to just drive around virtually and explore. It could replace Google Street View.

What model architecture are you using here?

Five years ago this company was already experimenting with end to end. Really fascinating to see.

Your computer shows me nothing other than it doesn't give a shit about anyone on a bike and hate to tell you end to end mL isn't really new and it isn't the answer either Matter of fact that A lot of engineers stay far from it because it's a very unpredictable system and why the steering wheel all over the place

Very inspirational - great to see such visionaries marching towards the future!!

Thank you, please keep these coming, it's really excellent Wayve is London-based. Look forward to more content like this, as well as non-technical demos. So far those have been tightly controlled and cherry picked, it would be great to have much longer uncut videos.

Try testing in Bangladesh. Most AI cars will FAIL there

Saya tidak percaya ia boleh menjadi sebaik ini

Tesla is gonna be proud

Intuitively, this will ALMOST work....so long as you give the car a tremendous number of experiences. But I suspect it would kill a lot of people along the way, as it "learns" that sometimes the sun blinds it and sometimes people wearing camo are not landscape features, and, and, and......

This is how they do it with weaponized UAV, so it makes sense.

It's actually not the first example, OpenPilot has had End to End models since before then.

With the standard of some drivers bring on the self drive vehicles 🤖

seems like a similar approach to tesla/Openpilot, interesting

Soundtrack from the video: Frenchies - Moving Away 😁

the car drives mainly with semantic segmentation and depth. so the weather shouldn't matter as long as the segmentation works. what do i get wrong on this?

The depth map from a monocular view is amazing! Do you use a singel img or multiple imgs as input? motion would make the depth estimation much easyer

I hype your company so much 😅 for me as a stundet in ai .. this is like a dream! I would work for free for you. Just give me a call 😅😂

This is breathtaking. just amazing! the traffic light got me! just wow Where can I apply? ^^

this is just amazing! good job!

How I could contribute to this? I want try it on my Twizy

Maybe use a 4k camera for PR work instead of 95 webcam.

I wondered when you guys were going to move onto the Jaguar i-Pace :)

Hi, it's beautiful work. I have one question though. As the noise vector is sampled from the present distribution, how can you interpret the action name (e.g., turn left, right, straight) from the sampled vector? Let's say I want to "command" the model to imagine turn-left views. Is there any parameter that allows me to explicitly sample the "turning-left" vector from the present distribution?

Amazing. I am afraid that self-driving cars will become more intelligent driver than most humans are with each passing year. They might even win in competitive car races in future like formula one.

Car is not confident enough to drive without jerking. Hopefully, it has learnt enough to become confident to drive straight and great. It is almost a year.

Amazing work

Great video guys! Keep working! Good luck!

Using asyncio, I see. People of culture.

What is different in your approach than Tesla in terms of reinforcement learning? Is small amount of RL training really enough to handle unforeseen exceptions? I am just curious not offensive. Thanks in advance. And congrats for your work.

Which RL algorithm is used? DQN, Actor- critic? Thanks in advance.

It's a very nice work done here. A way to go.

wow

Really Inspired from this work.

Glad to see you back, thought you had gone. How is your i Pace project going?

Have you got any videos of your self-driving cars interacting on the road with other cars? When will you do a passenger test service?