Tesla Vehicles Megathread

Volvo and Polestar EVs are now getting Tesla Supercharger access​


Volvo and Polestar — two Swedish car brands owned by China’s Geely — are now offering their electric vehicle customers access to Tesla’s Supercharger network. The companies are taking orders for adapters that will allow its EV customers to charge at over 17,800 Supercharger stalls across the country.

Tesla’s superior charging experience and the ubiquity of its Superchargers has spurred the entire auto industry to announce support for the company’s North American Charging Standard (NACS). All non-Tesla EVs will require adapters at first, but automakers have said they intend to start producing vehicles with native NACS ports installed at the factory starting as soon as 2025.
 
WhatsApp Image 2024-10-29 at 17.27.05_e2aa9b9c.jpg

My baby....

After a year of ownership:

Pros:
  • Great savings on fuel/electricity especially when most of my charring is at work, minimal at home.
  • "Full tank" every day
  • 24/7 surveillance
  • Phone key
  • Autopilot does help indeed
Cons:
  • Aside from battery replacement 10+ years or so down the road, not much.
 
 
No pedals, no steering wheel, no mirrors, no window buttons, screen possibly 24".
Door automatically closes when seatbelt engaged.
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Tesla Robotaxi Ride-Along (Unedited)​


Can it seen in night? What level is that 3 or 4?
 
Can it seen in night?
I have used FSD at night...obviously the headlights are on.

I think it is actually more useful at night.

See for yourself...
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100 Minutes of Real Rideshare Rides with Zero Interventions on Tesla FSD (Supervised) 12.5.6​


Note it handles both highways and local streets with ease.

What level is that 3 or 4?

It's still in testing.

It's whatever level you call not having your hands on the wheel or feet on the pedals until it stumbles into an edge case it can't handle.
 
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I have used FSD at night...obviously the headlights are on.

I think it is actually more useful at night.

See for yourself...
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For more detailed information, see our cookies page.

100 Minutes of Real Rideshare Rides with Zero Interventions on Tesla FSD (Supervised) 12.5.6​


Note it handles both highways and local streets with ease.



It's still in testing.

It's whatever level you call not having your hands on the wheel or feet on the pedals until it stumbles into an edge case it can't handle.

Then it's around 3.
Look at this piece of art:
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Then it's around 3.
Look at this piece of art:
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That's why I said it is still in testing.

Look at these pieces of art...

Waymo (with LiDAR) crash
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Waymo vehicle involved in Phoenix crash​


Xpeng P7 NGP (with LiDAR) crash
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Xpeng P7 crash, NGP was active​

 
That's why I said it is still in testing.

Look at these pieces of art...

Waymo (with LiDAR) crash
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Waymo vehicle involved in Phoenix crash​


Xpeng P7 NGP (with LiDAR) crash
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Xpeng P7 crash, NGP was active​


Seems like sensors need to repositioned at proper places. At the moment, I think they are placed at wrong places in car.
 
Seems like sensors need to repositioned at proper places. At the moment, I think they are placed at wrong places in car.

I agree Tesla should move it's side cameras more to the front so it can peer around corners at stop signs better. For the deer that is going to be tricky because even for a person that is a split second decision.

For Waymo and Xpeng they are screwed if they don't update their vision systems because the 2 videos clearly show LiDAR is not the savior people say it is. They ran into big things in broad daylight directly in front of their cars.

As Elon Musk said those who rely on LiDAR are going to get burnt because they wont spend the time perfecting their vision systems because the LiDAR is bailing them out in most situations. A good vision system is going to process every pixel of a scene to identify what everything is not just that there is some mysterious "shape" LiDAR sees in front of you that you should avoid or ignore. It needs to pick out the shape and have the vision figure out what it is.
 
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I agree Tesla should move it's side cameras more to the front so it can peer around corners at stop signs better. For the deer that is going to be tricky because even for a person that is a split second decision.

For Waymo and Xpeng they are screwed if they don't update their vision systems because the 2 videos clearly show LiDAR is not the savior people say it is. They ran into big things in broad daylight directly in front of their cars.

As Elon Musk said those who rely on LiDAR are going to get burnt because they wont spend the time perfecting their vision systems because the LiDAR is bailing them out in most situations. A good vision system is going to process every pixel of a scene to identify what everything is not just that there is some mysterious "shape" LiDAR sees in front of you that you should avoid or ignore. It needs to pick out the shape and have the vision figure out what it is.
Lidar has definitely it's own vision related issues. Why Elon decided to adopt camera is still not clear to me, but we could avoid the deer collision with lidars for sure.
It's not about which tech is better, and companies hardly decide based on "best" rather price. Lidars are costly. And it's a big issue. One solution came in the form of FMCW, cus we could produce it in massive scale, but then it has its own issues and most of the companies who ventured into this domain ran away or are about to( FMCW has smaller fov and they are very hard to design).
As you mentioned, lidar relies on classification, and Waymo definitely needs to see which part of ML caused that. I don't know who is their perception partner or they are making it in house?! Camera is good for now, but trust me, just for now.
 
Lidar has definitely it's own vision related issues. Why Elon decided to adopt camera is still not clear to me,

Because like our eyes cameras are the ONLY tech that can judge distance, color, shape, and movement in one pass.

None of the rest can do all four.

If you can get a vision system to work you will have an optimal system

but we could avoid the deer collision with lidars for sure.
No 100% guarantees even for our own eyes. Those two videos showed LiDAR isn't a panacea. It likely saw the pole and truck but couldn't figure out in time it was a danger.

When running through a rock field you have to scan ahead of you and understand the situation you are in so you know the next place you step is on a hard rock instead of a deep puddle.
 
Because like our eyes cameras are the ONLY tech that can judge distance, color, shape, and movement in one pass.
Why we need colour to detect an object? And how will then you will differentiate two distinctive objects with same colour standing in front of each other?
(Yes I am talking about depth)
 
Why we need colour to detect an object?

2022.45.10-FSD.png

Well for one determining the status of red/yellow/green street signal lights. That's sort of important when driving you know. Also if the car infront of you hits the brakes.

And how will then you will differentiate two distinctive objects with same colour standing in front of each other?
(Yes I am talking about depth)

Well LiDAR nor radar certainly isn't going to help you with color at all no matter where their location is. Only a good vision system is going to figure it out.
 
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