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Our fifth-generation, state-of-the-art imaging radar complements our lidar and cameras with its unmatched resolution, unparalleled field of view, and its unique ability to instantaneously measure velocity. And since it uses microwaves instead of light, it sees through weather conditions like fog and mist. We’ve also engineered a robust sensor cleaning system that employs various mechanisms, from utilizing hydrophobic films to shaping natural air flow around the sensors and utilizing a pulsed air-puffer and wiper system to keep our sensors’ surfaces clean from fog droplets, rain, dust, and other road grime.
The Waymo Driver also adheres to the many unofficial rules of the road that the National Weather Service recommends both human and autonomous drivers should do in the fog, such as leaving plenty of space from the vehicle in front to account for sudden stops or changes, and ensuring it stays in the proper lane.
To ensure the Waymo Driver is prepared for any conditions, we conduct weather testing to collect comprehensive data in order to test, train, and validate our autonomous driving system under extremely high scrutiny (as outlined in our Safety Framework). This is why you might see some cars driven by the Waymo Driver with additional sensors on it. These funky looking horns you may see around town are actually mobile weather stations that help Waymo’s Weather Team collect data on fog to help understand the density of the droplets.
I see no mentioned of planned driverless Waymo trucks in press coverage of their autonomous truck efforts in Arizona and Texas as recently as August.Someone spotted a driverless Waymo truck on I-10 outside Tucson, AZ.
There is another company currently operating driverless trucks commercial though…. Can’t remember thier name but they have customers.
I would say yes, but also that such an event should become almost unheard of with such advanced vehicles.The issues that lead to trucks needing to use those runaway ramps have to do with inadequate prior maintenance and/or poor operator technique (failure to downshift and engage, or using the friction brakes in a continuous application that severely overheats them).Can an autonomous Semi be trained to use a runaway ramp if there is an issue that develops with the truck going down a steep incline
Link ?That isn't true; mapping is essentially entirely automated. Changes in the environment vs. the map are even communicated between cars automatically.
Link ?
If mapping isn't the issue - then they are in deeper trouble.
... then they are in deeper trouble (than I thought). Imagine if they had solved all the "interaction issues" and just needed mapping. Obviously that would have been a better situation for Waymo.Why is Waymo in even deeper trouble? The main issue that everybody has with autonomous driving, not just Waymo, is solving all the complex interactions that can happen between road users and making sure that your autonomous driving is safe enough in all those driving interactions. And Waymo can't scale until they do that. But that is the challenge of deployment that everyone has. Waymo is making very good and steady progress on that front. Obviously, it is a difficult challenge. Hence why nobody has deployed driverless FSD at scale yet.
You should be more worried about your boy Elon... then they are in deeper trouble (than I thought). Imagine if they had solved all the "interaction issues" and just needed mapping. Obviously that would have been a better situation for Waymo.
If they are taking this long to resolve interaction issues - may be they need to look at end-to-end NN. They definitely have the resources, so why not ?
Unlike Tesla (and Mobileye, Cruise) , they need to solve the robotaxi and deploy in a LOT of cities in large numbers to make any kind of money. That is why they are in deep trouble. 10 years and hardly a dime earned. Wow.
ps : This is also the reason why monopolies like Google shouldn't be allowed to exist. They can outcompete other companies in other industries by using monopoly money in one or two industries.
pps : I still see no link and assertions about "mapping is fully automated". Where are the links ?
You got it all mixed up. I'm interested in getting L2+/L3 in my car - I've no illusions about actual "robotaxi" anytime soon.You should be more worried about your boy Elon
You got it all mixed up. I'm interested in getting L2+/L3 in my car - I've no illusions about actual "robotaxi" anytime soon.
You are just being disrespectful when commenting as usual. If you change your tone, may be we can have productive discussion.
I'm in a generous mood today. Thanks to TSLA I'm retiring earlyYou're a optimistic person.
How can it be safe to run driverless in 50 sq miles of Phoenix but not in the other 2950? And if the technology is still not quite ready to scale in easy Phoenix, why try to scale it in crazy-hard San Francisco?The main issue that everybody has with autonomous driving, not just Waymo, is solving all the complex interactions that can happen between road users and making sure that your autonomous driving is safe enough in all those driving interactions. And Waymo can't scale until they do that.
Yep, business model trumps technology. It's 100x better to sell technology that doesn't work at $10k a pop to hundreds of thousands of eager fanboys than to develop working technology and have no idea how to sell it. Say what you want about Elon, he knows how to get people to write checks.Unlike Tesla (and Mobileye, Cruise) , they need to solve the robotaxi and deploy in a LOT of cities in large numbers to make any kind of money. That is why they are in deep trouble. 10 years and hardly a dime earned. Wow.
Who is Google "outcompeting" in self-driving? They're pouring money into R&D. Someone with a clue will probably take their work and run with it, like Jobs and Gates did to Xerox PARC.ps : This is also the reason why monopolies like Google shouldn't be allowed to exist. They can outcompete other companies in other industries by using monopoly money in one or two industries.
They scare away potential rivals. Like HRC did in '16 primaryWho is Google "outcompeting" in self-driving? They're pouring money into R&D. Someone with a clue will probably take their work and run with it, like Jobs and Gates did to Xerox PARC
Boris Sofmam, head of trucking at Waymo, says that they've fundamentally changed the hardware and software stack from what's deployed in Phoenix because the 4th generation system was not easily scalable.How can it be safe to run driverless in 50 sq miles of Phoenix but not in the other 2950? And if the technology is still not quite ready to scale in easy Phoenix, why try to scale it in crazy-hard San Francisco?
There's only one reason to deploy in San Francisco: customers. (And investors, ha). The conclusion is obvious -- they couldn't attract customers in Phoenix.
Four years ago they believed Phoenix would work. That's why they ordered 82,000 vehicles, bought factory space in Detroit to outfit them and signed deals with Avis to manage/clean/charge them and Autonation to service/repair them. And why they custom-designed their own cost-reduced Gen 4 sensor set. You don't do any of that unless you're ready to deploy at scale. They had everything in place, except the customers. They built it, but no one came.
So now they're going where the customers are, even though SF requires much better technology. At this point they have no other choice.
Yep, business model trumps technology. It's 100x better to sell technology that doesn't work at $10k a pop to hundreds of thousands of eager fanboys than to develop working technology and have no idea how to sell it. Say what you want about Elon, he knows how to get people to write checks.
Who is Google "outcompeting" in self-driving? They're pouring money into R&D. Someone with a clue will probably take their work and run with it, like Jobs and Gates did to Xerox PARC.
You mean he didn't admit / say, there were no customers? So all that stuff about buying so many Porsche (?) cars was a bluff?Boris Sofmam, head of trucking at Waymo, says that they've fundamentally changed the hardware and software stack from what's deployed in Phoenix because the 4th generation system was not easily scalable.