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More from @greentheonly

green

@greentheonly

7 Jul

@rice_fry

Holiday weekends are great for some fun are not they?

Worked with @rice_fry on the Tesla depth perception NN.

Remember that stuff in ?

Well, the cars actually have a depth perceiving net inside indeed. though unlike what's shown it's a lot lower res

A whopping 160x120 grid (so 1/8th of the native camera resolution) but hey those are actual 3D points in space. I don't know how to make a 3D video, so just visualizing "distance" as "brighter = closer" on the scale of 5 to 62 meters (the actual limit of the output):

Here's the corresponding time-synced video to better understand what you are looking at.

Pretty cool actually despite all the limitations.

Read 9 tweets

green

@greentheonly

4 Jul

So in regards to the recent Chinese crash with video where AP exits roadway in sharp turns:
I long planned to do a demo of a similar condition but always forgot and I guess better late than never.
It's actually really easy to reproduce
m.weibo.cn/status/4655186…

Find an (empty!) road with a sharp curve and point autopilot at it. For most safety ensure there's an extra space outside the curve so you can catch the car before it crashes into stuff and boom!
(this is 2021.4.18.3 btw)

Remember to always pay attention when on AP!

If you enable debug mode you see the car actually outputs various alerts before the eventual "take over we are giving up" (weird there was no diseng chime btw)
and it knows it cannot take the turn safely at those speeds, in fact it tries to lower speed but definitely not enough

Read 7 tweets

green

@greentheonly

31 May

@spleck

Some more fun with radar-less Model Y (thanks @spleck)

First we laced a brown box with foil (for great radar response) and tested my model X on it (FW 2021.4.18)

It rammed it like nothing, but we did get an FCW.

Internal telemetry view (no radar overlaid because it makes the picture too busy)

One frame from radar view.
From it we learn the box is reported as a vehicle, but existence probability is only 30% and obstacle probability is 60%

Read 6 tweets

green

@greentheonly

5 Apr

@Tesla

If a picture is worth a thousand words, a video must be good for a couple gazillions.
With all the debates about how suitable @Tesla cabin cam for driver monitoring, I will let you form your own opinion.

It does look like "full color" RGB based on the red elements

@rice_fry

I was a bit surprised that in a city at night there's enough environment lighting to make DM seem very workable.
All these videos are full resolution, 36 fps as Tesla uses them.

Simulated distracted driver part 1

Read 11 tweets

green

@greentheonly

6 Mar

With all the brouhaha about Ford Mach-E, I decided to test-drive one.
Local Ford dealer had one in stock even (Ford >> Audi)
I got a salesperson that was first time in the car so we had to use manual a lot (Tesla >> Ford)
Manual depiction of UI does not match the actual UI 🤷‍♂️

The good:
I feel like it's ready to replace model 3/Y If you don't need to ever drive outside the city you live in.
Not as fast as a Tesla but plenty enough for light-to-light hopping.
Has wifi hotspot built-in ($$$)
Bird-eye view that actually works and turns on as you approach

Ford ADAS is on par with Tesla BAP. Better for lane-changes where it lets you to take over without disengagement, but a bit flip-floppy in the lane in turns as if steering angle is severely limited.
10 seconds between steering nags at 80mph

The UI is a bit confusing. "READY"?

Read 21 tweets

green

@greentheonly

9 Dec 20

If Tesla was a REAL software company, after you press that "YES" dialog button about "This is beta, blah blah, I understand what I am doing and will keep both pieces if it breaks" setting windows become accessible