291–300 of 1001 posts
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Almost certainly very little. They've been clearly working on AP 2.0 for a long time - this sort of hardware upgrade isn't something you roll out in a few weeks. This capability was even pretty strongly hinted at for the Model 3.
Improving the self-driving capabilities has "almost certainly very little" to do with the high profile death caused by the use of the self-driving capabilities? Come on.
I think what people are missing here is an understanding of how these systems are tested and deployed at scale. While I have no involvement with Tesla I do have first-hand knowledge of similar programs at tier 1 automotive suppliers. The suppliers provide (or are looking to provide) an electronics suite to car manufacturers. The car manufacturers want the system to be safe lest they be sued out of existence. One part…
I am going play devil's advocate here. In the future, would Telsa use these data for other purposes? ie after analysing the data, it finds that my driving behaviour risk and has a higher chance of accident. It could trigger high insurance premiums or restriction on which car I can purchase etc.
More cameras. Better sonars (very short range). Better radar processing, but apparently the same old single radar at bumper height. Still no windshield-height radar. No radar scanning in elevation. No LIDAR. That's a better, but still weak sensor suite. It's probably enough for freeway driving under good conditions. It's far below Google's sensor suite. Or Volvo's. Now they just have to write software smart enough to…
Humans manage with only two cameras.
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Why would you not trust Tesla? Are their interests not aligned with yours?
Clearly they aren't, they are trying to limit what I can do with my vehicle.
Implementing logic in an ASIC which cannot be modified and implementing logic with an embedded processor where the software can be modified but this feature is disabled is the same thing. Both are intended to be black boxes that just do one thing and nothing else. Yet for some reason you expect to be able to modify the embedded processor.
I think what people are missing here is an understanding of how these systems are tested and deployed at scale. While I have no involvement with Tesla I do have first-hand knowledge of similar programs at tier 1 automotive suppliers. The suppliers provide (or are looking to provide) an electronics suite to car manufacturers. The car manufacturers want the system to be safe lest they be sued out of existence. One part…
Why aren't other manufacturers following this model? I've seen 12-year Mercedes with internet connection, so the infrastructure has been there for a while.
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Nah because the human stat is for the average human. Being above average means I'd rather have control.
Studies have shown[1] that most people think they're an above-average driver, so your statement isn't very convincing. This cognitive bias is called Illusory superiority ( https://en.wikipedia.org/wiki/Illusory_superiority ). [1] Here's one that says 80% of people rated themselves above-average on a number of important driving characteristics - http://www.sciencedirect.com/science/article/pii/00014575869... . And it'…
Even if you word your survey question in terms of medians, people are bad at numbers. I don't think you can really decide if that's illusory superiority without more digging.
More cameras. Better sonars (very short range). Better radar processing, but apparently the same old single radar at bumper height. Still no windshield-height radar. No radar scanning in elevation. No LIDAR. That's a better, but still weak sensor suite. It's probably enough for freeway driving under good conditions. It's far below Google's sensor suite. Or Volvo's. Now they just have to write software smart enough to…
It's staggering that Tesla don't use LIDAR at all. Sure LIDAR is more expensive but the data quality is very stable and good. Cameras won't work that well or at all in night or when the sun rays blend in morning / evening or in bad weather conditions like heavy rain or snow. All other self-driving cars I know of have at least a small LIDAR beside several other types of sensors.
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Lidar doesn't make sense for Tesla with the failure rate alone. They're mechanical devices, and they often have defects when produced at scale. They need to be replaced very often. This makes sense when you're doing vehicles as a service, but not as much for Tesla's use case.
What about the solid state LIDAR mentioned by the GP?
I think what people are missing here is an understanding of how these systems are tested and deployed at scale. While I have no involvement with Tesla I do have first-hand knowledge of similar programs at tier 1 automotive suppliers. The suppliers provide (or are looking to provide) an electronics suite to car manufacturers. The car manufacturers want the system to be safe lest they be sued out of existence. One part…
I am going play devil's advocate here. In the future, would Telsa use these data for other purposes? ie after analysing the data, it finds that my driving behaviour risk and has a higher chance of accident. It could trigger high insurance premiums or restriction on which car I can purchase etc.
The realistic one for me on this is when they show aggregate data to insurers to get lower premiums for their cars (or indeed provide the insurance themselves at low rates and use the data to get excellent reinsurance rates). That seems a very tesla thing to do.
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The only obvious downside to an outside observer is that they will find it difficult to collect 'all weather' data in substantial volume in less than approximately a single year. From the positive side, they will collect and be able to evaluate a much /wider/ range of driving data from a far larger set. They are much more likely to run across 'better morons' both in operators of the Tesla and in operators of other ca…
Really a lot of weather patterns are analogous; for vision heavy rain isn't terribly different from a blizzard, etc. With a large enough span across the US you can get pretty much all weather conditions inside a 6 month window from mid summer to mid winter.
I would say that heavy rain is incredibly different from a blizzard. Snow has a much greater horizontal-to-vertical velocity, reflects more light, and flutters around. Rain mostly moves in straight lines, even in high wind. Not to mention traction is completely different on water vs. slush vs. snow vs. ice, as well as with good snow/rain tires vs. worn all-season tires.
I'm sure Tesla knows all this, but just in case you haven't driven in a blizzard before, you will need to drive very, very differently from driving in heavy rain.