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>However, in the unlikely scenario that 2D videos are sufficient for L5 self-driving, Tesla wins BIG. No one will be even close, especially due to the scale of
by JonathanFly 6y ago
>However, in the unlikely scenario that 2D videos are sufficient for L5 self-driving, Tesla wins BIG. No one will be even close, especially due to the scale of 2D data that they have gathered.
Potentially Tesla's 2D data lead means they will still be the leader even if the compute resources in the current cars isn't up to the task, and maybe even if they have to add additional sensors like lidar. They can probably retrain their models and still get a lot of out of it.
My personal guess is that full 3D lidar isn't needed, but some additional cameras and other cheap sensors probably are. There's a ton of stuff that costs a fraction of the cost of lidar that might fill in the gaps.
- La1n 6y ago>costs a fraction of the cost of lidar What makes lidar for use in self-driving that expensive? I have a robot-vacuum with a lidar that wasn't all that expensive.
- JonathanFly 6y ago>What makes lidar for use in self-driving that expensive? I have a robot-vacuum with a lidar that wasn't all that expensive. Waymo says it cost $75,000 for the lidar in one car a decade ago, and in 2019 they said they got the cost down to $7,500. So at the time Tesla decided to forgo lidar the costs were certainly very high. I'm guessing the range in your vacuum is multiple orders of magnitude less than a car. Waymo must have been betting costs would drastically fall over time. No idea if it's a lot less than 7500 now.
- esotericimpl 6y agoLifar also looks terrible. Tesla cars are beautiful.
- faisalhackshah 6y agoRobot vacuums typically don't use Lidar. They user a laser pointer and an offset camera. Distance is estimated by the pixel offset between the laser dot, and the center of the image. Object very far away: Laser dot in center of image. Object very close: Laser dot at maximal offset from center of image.