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The split was caused by Tesla pushing targets that Mobileye was not comfortable with. I don't think we know enough about the situation without a report from som

by drcross 10y ago

The split was caused by Tesla pushing targets that Mobileye was not comfortable with. I don't think we know enough about the situation without a report from someone inside the company but it's a little extreme to call them Tesla's table scraps.

Fricken 10y ago
Autopilot is floundering in the absence of Mobileye. It will take Tesla a while before their much more expensive hardware suite with 8 cameras and a Px drive chip (just the chip is worth a few thousand dollars) can match the performance of Mobileye's EyeQ3 and single camera.
- jacobkranz 10y ago
  To be fair, Tesla is only using a single camera for their current functionality with the other cameras remaining idle. I agree though that they're not up to AP1 standards yet (even though they stated they would be by end of December).
  - patman81 10y ago
    For what it's worth: The latest ETA for AP2 to reach parity with AP1 was tweeted by Elon Musk yesterday: "It's been a bear to get done, but prob 10 days or so, depending on full speed autosteer test results" https://twitter.com/elonmusk/status/841041891747545089 https://twitter.com/elonmusk/status/841041891747545089
- dharma1 10y ago
  Tesla would have been stuck at level 2/3 with Mobileye. With PX2 you have enough compute power to do much more, and a mature and rapidly developing GPGPU ecosystem (CUDA for ML, SLAM, SfM etc). I do think Nvidia is going to have to bring the price of PX2 down significantly though if they want mass market adoption.
  - Fricken 10y ago
    It seems Tesla and Mobileye were at one time planning on a bright future together, because Tesla didn't have any kind of a back-up plan. But Mobileye isn't sitting still, so if the relationship hadn't been terminated, Tesla would've been stuck with whatever Mobileye's latest and greatest offering might be. What's interesting is that if you compare the HW2 sensor suite to Mobileye's next-gen sensor plans, they are very similar, almost the same. They were both working on something together before the relationship went sour. Musk hinted recently that 1 PX2 is not enough, and that 2 may be necessary for L4. There's certainly no consensus as to how much compute is needed, the more the better, but I'm skeptical that the hardware costs will be low enough near term to justify putting it in privately owned autonomous cars. I think Tesla has made costly strategic errors in the Autonomy department, and that Musk in particular has repeatedly underestimated the challenge of developing a fully autonomous vehicle. I don't think he's making that mistake anymore.
  - argonaut 10y ago
    Autonomous driving is a software engineering/research problem, not a hardware bottleneck. You couldn't train a good autonomous driving agent even if you used a massive GPU cluster. I'm not saying better hardware doesn't help, it definitely helps incrementally but it's not going to be enough to solve this problem.
    - dharma1 10y ago
      Absolutely agree. However I'd wager to say that betting on a powerful Nvidia GPU/chipset (piggybacking on general ML/CUDA ecosystem progress) to be able process rapidly advancing autonomous driving algorithms is a more future proof bet for Tesla than relying on already outdated hardware/algorithms from Mobileye.

by drcross 10y ago

Fricken 10y ago

Autopilot is floundering in the absence of Mobileye. It will take Tesla a while before their much more expensive hardware suite with 8 cameras and a Px drive chip (just the chip is worth a few thousand dollars) can match the performance of Mobileye's EyeQ3 and single camera.

jacobkranz 10y ago
To be fair, Tesla is only using a single camera for their current functionality with the other cameras remaining idle. I agree though that they're not up to AP1 standards yet (even though they stated they would be by end of December).
- patman81 10y ago
  For what it's worth: The latest ETA for AP2 to reach parity with AP1 was tweeted by Elon Musk yesterday: "It's been a bear to get done, but prob 10 days or so, depending on full speed autosteer test results" https://twitter.com/elonmusk/status/841041891747545089 https://twitter.com/elonmusk/status/841041891747545089
dharma1 10y ago
Tesla would have been stuck at level 2/3 with Mobileye. With PX2 you have enough compute power to do much more, and a mature and rapidly developing GPGPU ecosystem (CUDA for ML, SLAM, SfM etc). I do think Nvidia is going to have to bring the price of PX2 down significantly though if they want mass market adoption.
- Fricken 10y ago
  It seems Tesla and Mobileye were at one time planning on a bright future together, because Tesla didn't have any kind of a back-up plan. But Mobileye isn't sitting still, so if the relationship hadn't been terminated, Tesla would've been stuck with whatever Mobileye's latest and greatest offering might be. What's interesting is that if you compare the HW2 sensor suite to Mobileye's next-gen sensor plans, they are very similar, almost the same. They were both working on something together before the relationship went sour. Musk hinted recently that 1 PX2 is not enough, and that 2 may be necessary for L4. There's certainly no consensus as to how much compute is needed, the more the better, but I'm skeptical that the hardware costs will be low enough near term to justify putting it in privately owned autonomous cars. I think Tesla has made costly strategic errors in the Autonomy department, and that Musk in particular has repeatedly underestimated the challenge of developing a fully autonomous vehicle. I don't think he's making that mistake anymore.
- argonaut 10y ago
  Autonomous driving is a software engineering/research problem, not a hardware bottleneck. You couldn't train a good autonomous driving agent even if you used a massive GPU cluster. I'm not saying better hardware doesn't help, it definitely helps incrementally but it's not going to be enough to solve this problem.
  - dharma1 10y ago
    Absolutely agree. However I'd wager to say that betting on a powerful Nvidia GPU/chipset (piggybacking on general ML/CUDA ecosystem progress) to be able process rapidly advancing autonomous driving algorithms is a more future proof bet for Tesla than relying on already outdated hardware/algorithms from Mobileye.