You are dismissing the most important point. Waymo has shown they have driverless L4. Achieving that is a huge accomplishment and a big milestone on the path to a generalized driverless solution (L5).
That's like landing a man on the Moon and saying "Nasa has not demonstrated jack when it comes to human space travel." What?!
Tesla has not demonstrated jack squat when it comes to a generalized driverless solution.
And Waymo is full driverless, no safety drivers, no remote operators.
They don't have a "safety driver" but they do have a "remote operator" who can send high-level commands on request. And they even only have this in the most ideal location, and only after producing (and maintaining up-to-date!) high-def local maps. This approach does not scale to general nation-wide driverless operation.
One aspect I found interesting is that Waymo, even with its more advanced driving policy, sensor suite and HD maps, still requires human "fleet response specialists" who can intervene remotely in case a driverless car gets stuck in a situation that it cannot resolve on its own. How is Tesla planning to resolve such situations in a potential robotaxi service using privately owned cars? If they have to hire their own specialists that will probably eat up all the profit for the owner.
You've pinpointed the crux of the matter: It's possible to operate "driverless with remote assistance" in perfect conditions after developing and while maintaining high-def maps. This does not scale even to the city level, much less national. And maintaining the high-def maps will require a lot of labor and computing power. Both Waymo and Tesla are very far from wide-scale Level 4.
I can see a few options:
1) Deploy driverless and if the cars get stuck, they get stuck. Maybe have the passenger take over? That does not seem like a very good option.
2) Require owners to be the safety drivers. Kinda defeats the purpose of driverless but could be a temporary solution until the software is good enough to go driverless.
3) Wait until the software is good enough that it does not get stuck before deploying ride-hailing. This seems like it would take too long.
4) Only deploy driverless robotaxis in a geofenced area like Waymo is doing. Hire some "fleet response specialists" that can monitor the fleet of Tesla robotaxis in the geofenced area.
1) You can't have taxis that are limited to taking only licensed drivers as passengers.
2) If the owner is a safety driver, it's not a robotaxi. It's an Uber knockoff.
3) This is the obvious solution.
4) This is a development/testing system. Perhaps a necessary step towards true Level 4 autonomy, but not really an indication of how close they are to either eliminating the remote operator or expanding into unmapped areas and regions with less than perfect weather.
Also note that a robotaxi is zero improvement over a regular taxi or Uber to the user: If a car comes to pick me up, I don't care whether it has a driver or not. What I want is my own car to be able to drive me while I nap in the back. Robotaxis are a step in the development of driverless cars. They are not the goal. (Unless all you care about is not having to listen to your taxi driver's choice of radio station.)
Well, at the moment it's science fiction anyway. I doubt that the cars that Tesla is currently building will ever be used as robotaxis.
Correct. Today's Teslas lack the sensors to ever be truly driverless. They do, however, have far and away the best Level 2 systems an ordinary consumer can buy today.
Google is quite a ways from covering the entire country (if that is even a goal). Here, for example, is the coverage in Austin, MN:
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You are correct that Google Earth does not show Street-Level View for Austin, MN. However, your image appears to be Google Maps, not Google Earth. On Google Earth you can zoom in to see individual houses large and clear. I'm too lazy to take a screen shot, post it to a hosting site, and link here. But even in Google Maps you can zoom in to see more than adequate detail for navigation. Your image is a very wide view.