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Casually starting the turn and not yielding to pedestrians at 10:21. Companies actually put this kind of footage up without ever reviewing it?
Casually starting a turn and correctly identifying that the person on the right slowed down, stopped and turned to face the other crosswalk. You can see it on the top right camera.
Earlier quoted context omitted.
They've been keeping abreast. The co-founder, Tim Kentley Klay was somehow able to get Jesse Levinson on board, and Jesse Levinson had no problem getting infinite street cred on board. So they were able to attract a lot of key, original robotics talent before the hype got out of control. For a long time though, they were low on funds, so they did lots of closed course testing, and it wasn't until they closed a large…
Thanks for the info. Can you clarify what predictions in multi agent scenarios are?
This demo is not informative as to the readiness for scalable L4 deployment, for which it would be necessary to focus on the breadth/accuracy of perception features under the hood of intent prediction and what happens at the tail end with arbitrary situations that occur in urban driving environments.
This demo is not informative as to the readiness for scalable L4 deployment
Earlier quoted context omitted.
Are you referring to the pedestrian who's almost crossed the crosswalk on the left side of the screen? This is still a proper yield as far as I can see. The car just enters the intersection before that person has finished crossing.
That's already the problem. Don't enter the intersection if you can not speedily finish your turn. There is also already another ped on collision course the moment they start moving forward.
Earlier quoted context omitted.
Could you provide more context on the first part.
They've been keeping abreast. The co-founder, Tim Kentley Klay was somehow able to get Jesse Levinson on board, and Jesse Levinson had no problem getting infinite street cred on board. So they were able to attract a lot of key, original robotics talent before the hype got out of control. For a long time though, they were low on funds, so they did lots of closed course testing, and it wasn't until they closed a large…
On top of this, there's a liability and ethics issue. We accept teenagers for getting drunk and killing people, but we cannot accept an autonomous car that cannot navigate a roundabout which would otherwise be easy for a person, sober or otherwise.
Earlier quoted context omitted.
They've been keeping abreast. The co-founder, Tim Kentley Klay was somehow able to get Jesse Levinson on board, and Jesse Levinson had no problem getting infinite street cred on board. So they were able to attract a lot of key, original robotics talent before the hype got out of control. For a long time though, they were low on funds, so they did lots of closed course testing, and it wasn't until they closed a large…
Thanks for the info. Can you clarify what predictions in multi agent scenarios are?
This demo is not informative as to the readiness for scalable L4 deployment, for which it would be necessary to focus on the breadth/accuracy of perception features under the hood of intent prediction and what happens at the tail end with arbitrary situations that occur in urban driving environments.
This demo is not informative as to the readiness for scalable L4 deployment, for which it would be necessary to focus on the breadth/accuracy of perception features under the hood of intent prediction and what happens at the tail end with arbitrary situations that occur in urban driving environments.
This demo is not informative as to the readiness for scalable L4 deployment does anyone make that claim?
Edit to add: After that I started watching it, it's actually a video of an impressive AI.
Watching this, it's so frustrating that we're 95-99% there on autonomous driving.