| Cruise Automation handling double-parked cars with LIDAR.[1] They show the scan lines and some of the path planning. Busy city streets, lots of obstacles. Waymo handling city traffic with LIDAR.[2] They show the scan lines and some of the path planning. Busy city streets, lots of obstacles. Tesla self-driving demo, April 2019.[3] They show their display which puts pictures of cars and trucks on screen. No difficult obstacles are encountered. Recorded in the Palo Alto hills and on I-280 on a very quiet day. The only time it does anything at all hard is when it has to make a left turn from I-280 south onto Page Mill, where the through traffic does not stop. [3] Look at the display. Where's the cross traffic info? Tesla's 2016 self driving video [5] is now known to have been made by trying over and over until they got a successful run with no human intervention. The 2019 demo looks similar. Although Tesla said they would, they never actually let reporters ride in the cars in full self driving mode. [1] http://gmauthority.com/blog/2019/06/how-cruise-self-driving-... [2] https://www.youtube.com/watch?v=B8R148hFxPw [3] https://www.youtube.com/watch?v=nfIelJYOygY [4] https://youtu.be/nfIelJYOygY?t=353 [5] https://player.vimeo.com/video/188105076 |
Tesla's display does not render all of the data that the computer knows about.
Additionally this article is assuming the camera based solution for Tesla will be single-camera. Last I checked the actual solution is going to be stereo vision of multiple cameras (think one on each side of windshield) and using ML to combine that data. The Model 3 does not have that capability though because its three cameras are center mounted.