> It loses its mind right at the beginning, around 0:06-0:07, veers to the right for no reason
I'm speculating but I think the reasons it veers to the right are some combination of the following:
1) There is water on the left hand side of the lane.
I was going back and forth on the video and you can see "Raining" along the left edge turn green. So, it has detected the water and is avoiding it?
At the same time it has turned green "Wet road".
2) There is a vehicle on the right side of the lane - it has been identified with an upside down green triangle / crosshairs and a square (is that block the license plate?) and the Tesla is "following" it.
Again speculating based on watching the display change.
I found this clip amazing for the following reasons:
a) Around 0:02, it starts to notice the right edge of the road. Along the right edge of the video, you can see the estimated road. Around 0:04, you can see the right turn lane and the dots along the right edge change to show the vehicle has detected it.
b) Detection of arrows on the road surface. They are labeled with "RA", "FA" and "LA". RA = Right Arrow, etc.
c) Around 0:04, a "container" type of black outline appears on the right edge - it is a vehicle!
d) Around 0:05, another container appears in the right turn area and it is another vehicle.
e) Around 0:09, another container appears on the left middle and it is another vehicle.
Jumping to 0:22:
f) It has seen the vehicle about to enter the scene from the left and "CutinExcited" probability starts to increase and when the vehicle has moved through the scene, it goes away.
g) If you see the frame at time 28668.2612540 (?), it has picked up and classified a person on the left of the red 44.
> I'm speculating but I think the reasons it veers to the right are some combination of the following: 1) There is water on the left hand side of the lane. I was going back and forth on the video and you can see "Raining" along the left edge turn green. So, it has detected the water and is avoiding it? At the same time it has turned green "Wet road". 2) There is a vehicle on the right side of the lane - it has been identified with an upside down green triangle / crosshairs and a square (is that block the license plate?) and the Tesla is "following" it.
"May potentially swerve into other lanes to avoid puddle"?
And yeah, it literally runs a stop sign. In their own marketing video.
I'm speculating but I think the reasons it veers to the right are some combination of the following: 1) There is water on the left hand side of the lane. I was going back and forth on the video and you can see "Raining" along the left edge turn green. So, it has detected the water and is avoiding it? At the same time it has turned green "Wet road". 2) There is a vehicle on the right side of the lane - it has been identified with an upside down green triangle / crosshairs and a square (is that block the license plate?) and the Tesla is "following" it.
Again speculating based on watching the display change.
I found this clip amazing for the following reasons: a) Around 0:02, it starts to notice the right edge of the road. Along the right edge of the video, you can see the estimated road. Around 0:04, you can see the right turn lane and the dots along the right edge change to show the vehicle has detected it. b) Detection of arrows on the road surface. They are labeled with "RA", "FA" and "LA". RA = Right Arrow, etc. c) Around 0:04, a "container" type of black outline appears on the right edge - it is a vehicle! d) Around 0:05, another container appears in the right turn area and it is another vehicle. e) Around 0:09, another container appears on the left middle and it is another vehicle.
Jumping to 0:22: f) It has seen the vehicle about to enter the scene from the left and "CutinExcited" probability starts to increase and when the vehicle has moved through the scene, it goes away. g) If you see the frame at time 28668.2612540 (?), it has picked up and classified a person on the left of the red 44.
Super impressive real-time classification.