It just works out better for the company since these drivers know their city and that is all they do. It keeps the company from having accident insurance claims.
I doubt there will ever be self driving Tractor Trailer type vehicles in any city. It requires some serious skill and intuition about your rig and roads, like where to take the truck wide to complete a right turn without taking down the street light or pedestrian waiting to cross would be a good example.
I'm actually convinced that maneuvering a large, articulated vehicle is the comparatively easy part.
These two videos convinced me AIs can be pretty good at it: https://www.youtube.com/watch?v=HR4MEh5-paA https://www.youtube.com/watch?v=BYPA4ajTQgk
AIs might even have an advantage over humans because they can more easily use cameras on all sides of the truck to maintain awareness of everything going on around them. The AI should be able to predict with good accuracy where each part of the truck will be as the motion progresses because it can do the math, whereas a human has to rely on experience.
To me, the real difficulty for AIs is in the higher reasoning, like how you deal with situations (lane closed, vehicle traveling the wrong way, etc.).
[1] - https://www.dmv.ca.gov/portal/vehicle-industry-services/auto...
https://venturebeat.com/2020/01/06/waymos-autonomous-cars-ha...
Either way, 20 million miles is once again a drop in the bucket compared to the number which would indicate these cars are as safe or safer than human drivers. For comparison, Tesla is likely around 4 billion miles with Autopilot. I still wouldn't be comfortable saying definitively that Autopilot is as safe or safer than humans.
If you have a very limited fleet of self driving cars then maybe it's actually ok if they are not as safe as human drivers as long as the trajectory is towards better safety. I'm sure the very first test car driving anywhere was less safe than a human driver. Each step will lay the foundation baseline for the next step. The Tesla 4 billion miles can't be compared with anything since those aren't really autonomous driving. It's like saying there's a trillion miles on cruise control.
Waymo has 20 million miles using multi-modal sensory data: cameras, LIDARs, etc. Because the sensory data is gathered in multiple modes, it can be cross-referenced and calibrated against each other even if the placement of individual components change (so long as not all components change at the same time), meaning that the data can be used across multiple models.
Tesla has 4 billion miles using a single mode of sensory data, but because it uses a single mode of input (visual), old data becomes mostly useless when they make any changes to the system, such as to the visual resolution of the cameras, or their positioning on the vehicles. This is one of the big reasons that they get so many regressions with Autopilot.
Also, despite having 4 billion miles of sensory data, that hasn't stopped Tesla from being the industry leader in self-driving fatalities. The rest of the industry combined has only a single fatality.
You are missing the point. Tesla is the industry leader in fatalities primarily because they have such a huge lead in the number of miles. Miles are not directly comparable to each other because each company has a different approach, but Tesla's fatality rate is 1 every 800 million miles. Waymo appears to be the leader among the rest of the industry with 20 million miles. How can you predict Waymo is safer than Tesla at this point? They may end up being safer, but it is way too early to say that right now.
And that problem gets worse with increasing data, not better, because the useless data will drown out the important data.
Tesla's own legal filings shows that Autopilot is 2-3x more likely to get into accidents that Teslas without Autopilot engaged. (The 2x for Autopilot disabled but other advanced driving features engaged; 3x for all advanced driving functions disabled.) https://www.forbes.com/sites/bradtempleton/2020/10/28/new-te...
Their marketing claims are just that: marketing.
Where is the source for this? It wasn't anywhere on the article that you linked.
It’s clearer by hours instead of by miles. If a normal car gets into an accident every 1 zillion hours, and I’ve driven my research car for 20 minutes and then had it parked for 100 zillion hours and it only had one accident accident, I don’t get to claim it’s 100x safer. (100x fewer accidents per hour!) It has to be apples to apples.
Second, you may be moving the goalposts. If the car can drive in Boston, but not in, say, French Guyana, would you still say it's not true self-driving?
You just described a quarter of the US.
If it works for the full spectrum of usage for normal people, I’ll count it, even if it’s not all normal people everywhere. If we get something that works everywhere in the US, but not the crowded streets in India, you’d count it, right?
Maybe I have missed it, but has there been any substantial use of Waymo outside of the Phoenix area? There is a reason why both Uber and Google were targeting that area for testing. It is an area with lots of sun, little precipitation, lots of relatively new, big, and straight roads, no real wildlife that might jump out into the road, and that is notoriously hostile to pedestrians. Is demonstrating a self driving vehicle is safe there truly indicative that it will be safe in the back alleys of Boston's North End when there is a foot of snow on the ground?