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lol ToothSayer gives loads of useful info. My request was meant to limit verbosity because that's his tendency
Yeah I'd love to hear some other voices on autonomy but I really don't know what can be said. There's zero objective evidence outside of Musk claims that they're anywhere other than the kiddie pool in autonomous driving. No testing miles. No public demos. No viable strategy that anyone takes seriously. We basically have Musk's claims, deployed level 2 software that's buggy and not much else to go on.
As for their strategy, machine learning images is doomed to fail with current and medium future machine learning for 10+ different reasons:
1: A 3d point map is stable and highly reliable while images are not;
2. A 3d point map can be simulated for wayfinding; images cannot be. This simulation ability alone allows orders of magnitude more learning and testing.
3. Cameras aren't up to the task of autonomous driving just yet; they are too slow to adjust and affected by serious bugs like lens flares. For example, this is the only camera covering 40 degrees of vision on the side of the car:
4. Images are unreliable; while point maps are high speed and precise, and no inferring about object movement or 3d position is required, images require a highly tuned machine intelligence to discern depth and movement information from a truly vast array of shadings, lighting, situations, etc. No such thing exists and likely won't for a while; even static robots working with a limited set of images have trouble with reliable image recognition, which is one reason why car manufacturing lines can't be fully automated.
5. Boundary cases are a massive problem. Blanket an area in a light dusting of snow and all of your images look completely different. Changing light patterns are confusing. Etc. None of these issues even exist with Lidar.
6. Deep learning is fundamentally not a secure algorithm; it has unknowable reliability. Deep learning of images is 100x worse. We don't know what will make it fail or misread the situation, what boundary cases it will fail on (run right over someone in black against a black road in poor light?). And because these are images and not precise point maps, there's no hard stop that can be coded; depth information and object placement and trajectory is
guessed rather than certain.
I could go on but this is getting verbose as you say. Anyone with a functioning mind and some software experience can tell that this is going to fail completely. Just like anyone with a functioning mind and a little manufacturing experience knew that Musk could not robotize his entire factory to outdo the majors; it wasn't possible with the current state of robot image recognition. But Musk pushed forward anyway and nearly lost the company with his stupidity; he doesn't understand detail when it comes to hard problems, and FSD is way harder than robots.
There are just no arguments you can make that Tesla has any chance whatsoever of FSD by 2020 or even 2022. Everything is wrong. I love playing devil's advocate but there's just nothing to latch onto; it's all bullshit spewing from one conman's mind, a bit like Elizabeth's Holmes "one drop" fraud.
Last edited by ToothSayer; 08-27-2019 at 11:28 AM.