This Connecting the Dots video doesn't delve in to redundancy of design, but they do discuss independent modules at each wheel that could be powered as you surmise (link jumps to time when that discussion starts)...
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Investor Engineering Discussions
- Thread starter MC3OZ
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We don't know of Tesla is using these motors for the initial production ramp in Mexico.
But my understanding was - permits 3 months - construction 9 months - production ramp starts in 12 months time, so no later than Q2 2024.
JRP3
Hyperactive Member
Tesla Engineers Unsuccessfully Tried To Convince Elon Musk To Keep Radar In Self-Driving Cars - Tesla (NASDAQ:TSLA)
Tesla Inc (NASDAQ: TSLA) CEO Elon Musk made a bold move in 2021 when he decided to remove radar sensors from the company's vehicles.
www.benzinga.com
Tesla Engineers Unsuccessfully Tried To Convince Elon Musk To Keep Radar In Self-Driving Cars - Tesla (NASDAQ:TSLA)
Tesla Inc (NASDAQ: TSLA) CEO Elon Musk made a bold move in 2021 when he decided to remove radar sensors from the company's vehicles.
Old radar was helping, but hid vision's problems. Pulling it made things worse in the moment, but better long term.
New radar is so much better than old radar.
I'm about to give up on figuring out the old one's performance and just posting what the new one can theoretically do.
willow_hiller
Well-Known Member
Seeing videos out of Vision Park Assist. I doubt USS would return measurements for such a low curb like this one, so in that regard I think it's already superior to USS:
But it does seem to know its own limitations with objects that can move. In this video, as soon as the trash can is out of line-of-sight, it throws up the message "Park Assist Unavailable":
Edit: another interesting feature, it does have persistence of memory after being parked. So it can recall curb locations it cannot presently see: r/teslamotors - Video of vision park assist memorizing an obstacle in its blind spot and giving an accurate measurement while driving closer to it (even after being parked for a while)
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JRP3
Hyperactive Member
They both might be registering the taller bushes right by the curb.
JRP3
Hyperactive Member
JRP3
Hyperactive Member
Closeup look at the latest 3/Y rear motor with hairpin rotor and redesigned inverter and housing
Assuming they would not have used a solid rear axle if 4WS were dropped, things should not get sloppy faster with 4WS vs straight IRS.
The addition of rear steering might actually improve alignment due to additional adjustment points vs fixed length arms.
4WS could reduce scrubbing induced tire wear (marginally).
willow_hiller
Well-Known Member
I had a random idea to check whether a large language model could help solve the interpretation of road signs for FSD. The bad news is that no, at the moment even ChatGPT cannot correctly interpret road signs. Maybe at some point in the future, though.
JRP3
Hyperactive Member
Not in the US, but the numbering does depend on right/light hand drive: https://tisa.org/wp-content/uploads/SP18002_TISA_Guideline_Lane-Numbering_v1.0.pdf
GPT is technically correct.
As written, the sign excludes right on red, except from the right lane and only for 2 hours in the morning and 3 in the afternoon. 3 pm is outside those windows.
Ignoring the logic error, the sign specifies only the right "lane" can turn on red, not "lanes". Further, specifying lane versus the standard "no turn on red" amplifies the single lane binding.
If the sign was "No turn on red Mon-Fri..." it would match your interpretation.
Words vs
JRP3
Hyperactive Member
Here in the US, the centermost lane is 1 and increments outward.
Numbering of Freeway Lanes in California
https://www.emcins.com/assets/pdf/l...ignationsandterminologyquickreferencecard.pdf
JRP3
Hyperactive Member
No. Here is the full section:
Are we not "left hand" drive here in the US?
Left hand drive example:
Right hand drive example:
willow_hiller
Well-Known Member
Here's a quick visual if this helps. I've seen signs constructed like this in and around DC.
I think ChatGPT understood my description, lane numbering and all, but logically grouped these phrases as "No turn on red (except from right lane Mon-Fri 7-9 am 4-7 pm)" instead of logically grouping them as "(No turn on red except from right lane) [applies only to the periods] (Mon-Fri 7-9 am 4-7 pm)." The default state is that right-on-red is allowed, so outside of the specified time periods, it's allowed from both lanes.
Even clarifying that it's constructed this way doesn't change the answer:
I think ChatGPT understood my description, lane numbering and all, but logically grouped these phrases as "No turn on red (except from right lane Mon-Fri 7-9 am 4-7 pm)" instead of logically grouping them as "(No turn on red except from right lane) [applies only to the periods] (Mon-Fri 7-9 am 4-7 pm)." The default state is that right-on-red is allowed, so outside of the specified time periods, it's allowed from both lanes.
Even clarifying that it's constructed this way doesn't change the answer:
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JRP3
Hyperactive Member
We are "left hand drive" but my understanding is that is "right hand traffic"
We are "left hand drive" but my understanding is that is "right hand traffic"
Again, look at the example they provide in that same PDF:
And look at rule #3:
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