Here you go again with your false statements. I've would like to ask you to stop spreading misinformation.
That is NOT misinformation!! That is accepted truth by the entire autonomous industry!!!
You are the only one spreading misinformation! STOP IT!
No for FSD there is only 2 tasks:
- Vision - KNOW your surrounding.
- this has to include pedestrians, pets and ALL other typical items you would see from a car
- this also has to cover knowing the intent of each detected object (with probabilities) -- closest Tesla example would cut in detection.
- Action - drive through the environment you perceive in Step 1
Step 1 is super hard with just cameras. Mobileye is far ahead of Tesla and they have done but it is still not safe enough for L5. Tesla is far from even finishing this first step. And no, it is not as easy as just feeding a billion miles into the machine. If it were that easy, Tesla would have it done already.
Ask yourself: why do Tesla cars hit stopped trucks in the middle of the highway or miss a lane and run straight into crash attenuators or smash straight into a semi truck crossing in plain sight or misses a simple exit or phantom brakes for a shadow?
Answer: because computer vision is super hard. There are a ton of complex things that your camera vision has to see, recognize and measure distance with high accuracy perfectly. If you miss just one thing, you won't have safe autonomous driving.
With lidar, you can solve step 1 a lot easier. In fact, Waymo, Cruise and others have already solved step 1 with lidar.
Step 2 is actually the hardest. It is not as easy as "just drive". Drive how? When you do you cut in? When you do yield? When is it safe to make an unprotected turn in busy traffic? When to change lanes? There are a ton of complex driving scenarios that you need to solve in step 2. You need to plan your driving and be able to anticipate complex situations. You also need driving policy to implement defensive driving rules, knowing when to yield to a car that might try to cut in. There is a lot software coding that goes into step 2.
You are drastically oversimplifying autonomous driving.
Here is just one common city driving scenario that cars with lidar can handle and Tesla can't handle yet:
Under your theory, you would need computer vision to accurately track everything with high accuracy. If your computer vision does not measure distance with centimeter accuracy, your car will crash into another car. Not to mention, you need excellent driving rules for how to navigate that intersection. And this is not even the worst driving scenario.