IMHO a valuable advantage to self driving cars is getting impaired people home safely and legally. If they can do that, it could be a game changer.Edit: this is way too off topic at this point, so I should have let it go.
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IMHO a valuable advantage to self driving cars is getting impaired people home safely and legally. If they can do that, it could be a game changer.Edit: this is way too off topic at this point, so I should have let it go.
The 0% was while operating a motor vehicle.Which is just false in over half the country.
The more I think about that particular problem, the less I understand how I could ever think that an autonomous vehicle would be better at this than a vehicle driven by a taxi driver or transit. The solution has always been there and there is basically no upside to an autonomous car in any of the practical implementations we've seen so far.IMHO a valuable advantage to self driving cars is getting impaired people home safely and legally. If they can do that, it could be a game changer.
In my state at least, if you let your kid get drunk and the government finds out, you may be very crossways with The System.To nitpick here, it’s not illegal for under-21 to drink in a lot of states (over half), it’s just illegal to give/sell/whatever alcohol to someone under 21, except under specific circumstances (generally, in your home under parental supervision). It’s perfectly legal for a 20 year old to be drunk, they just obviously shouldn’t be driving.
The potential use case is very common in the US. Sober person drives their car somewhere and winds up in a bar, at a friends house, or has several drinks with dinner. While it would make sense for them to be self-aware and not drive themselves home, their decision making is often along the lines of:The more I think about that particular problem, the less I understand how I could ever think that an autonomous vehicle would be better at this than a vehicle driven by a taxi driver or transit. The solution has always been there and there is basically no upside to an autonomous car in any of the practical implementations we've seen so far.
Even in a super dense city state like Hong Kong this can be a problem. Taxis have enough work, good fucking luck getting one out to end of a hiking trail half an hour from the city and ~10 minutes out from nearest village.You also forgot "uber/lyft/etc" doesn't exist here or it only exists to get me to the party/destination and can't get back.
I live 10 minutes south of Ann Arbor, MI and if you take an Uber 20 minutes west of the city to Chelsea you literally can't get picked back up.
The drinking and driving culture in the Midwest is also not ideal.
Would this be any better with robotaxis? Whoever owns them will want to maximize revenue just like everyone else, so they will eventually start making the same basic decisions as human taxi drivers and services, preferring to serve dense areas, not wanting to deadhead from/to some even slightly out of the way place, demanding large tips to do anything other than pickup a passenger where they already are, and drop off where some other passenger is already waiting.Even in a super dense city state like Hong Kong this can be a problem. Taxis have enough work, good fucking luck getting one out to end of a hiking trail half an hour from the city and ~10 minutes out from nearest village.
All the cabs are running major routes and follow the commute schedule. At least some taxi app let you add a big fat tip but even in a smallish village just minutes off a major route / tunnel I had to add like 20% to get a cab once. Bidded less, no response. Upped it, nope. Okay then here you go, finally one replied, 8 min / 5 km away (Yuen Long -> Kam Tin). Weird, it's not that far away even with its own major metro stop.
With no human in the loop you have a much lower cost structure. You can flood the whole area with robotaxis and not just the city. The cause now is a high minimum price due to paying a living wage.Would this be any better with robotaxis? Whoever owns them will want to maximize revenue just like everyone else, so they will eventually start making the same basic decisions as human taxi drivers and services, preferring to serve dense areas, not wanting to deadhead from/to some even slightly out of the way place, demanding large tips to do anything other than pickup a passenger where they already are, and drop off where some other passenger is already waiting.
I enjoy that any viable public transit system eventually boils down to existing public transitWith no human in the loop you have a much lower cost structure. You can flood the whole area with robotaxis and not just the city. The cause now is a high minimum price due to paying a living wage.
But if that's all you think about, think slightly bigger. Self driving vehicles can be larger and do non point to point pickups and replace a whole bunch of vehicles with one van. On major routes like airport - anywhere this is already common with shared taxis.
Cities, villages already pay major sum to run public transport. They could subsidize a few shared taxis and base them in a smaller town or village in addition to the bag of money paid to run a regular bus service with way too few travellers. It might even replace it one day, switching from fixed route to point to point (with detours to keep it affordable).
I have a subscription on them. It's often available, but you have to hail them at their resting place and return them there. Not usable as last mile solution. Total different thing from SDC.Right now they're called Greenwheels. They are considerably cheaper than an Uber, yet absolutely nobody uses them.
And what evidence do you have for that? The old shit you mentioned are not taxis and come with severe restrictions. Nothing like getting a cab in Osaka, Kyoto and Hong Kong, something I did many times past few weeks and like, every year or so. And the taxi rides to and from Schiphol.Because despite what people think robotaxis solve, they can't ever achieve the scale necessary to make them affordable no matter how few drivers they have.
I feel like you don't get out often enough. Netherlands isn't the only country and Randstad not the only region. There are plenty of times I wished public transit is better in Austria, Germany, anywhere without frequent service and the ridership forcing many to drive.I feel like you're new to the world of transit arguments.
Aight dude, just go read up on transit. You're using literally every ignorant argument in the book that shows you just never thought about transit in depth. You're not adding anything here and just embarrassing yourself.I feel like you don't get out often enough.
But why? Assuming you write them down to zero in 4 years, the estimated cost of $150000 is only $9 per day. That's not a huge number to overcome, just one extra short trip per day covers it already.Waymo is never going to amortize the cost of that expensive sensor package.
Pff, you're always in your high castle looking down on plebs. Make a valid argument for once instead of just sprouting unsupported claims.Aight dude, just go read up on transit. You're using literally every ignorant argument in the book that shows you just never thought about transit in depth.
Might want to check your math on that one…But why? Assuming you write them down to zero in 4 years, the estimated cost of $150000 is only $9 per day. That's not a huge number to overcome, just one extra short trip per day covers it already.
The government subsidizes the shit out of the company for both behind the scene control and (amusingly enough) to keep foreign products/influence out as much as possible.How is it that Chinese cars have multiple lidars in cars under $30k or even $25k?
A LIDAR is a diode laser, an array of spads, some mirrors and simple plastic lenses turned by a motor. The components are extremely inexpensive (spads cost literally dollars) in volume, but require huge one-off engineering costs (I.e. software/firmware). Engineers are cheap in China, and one-off costs become insignificant if spread across enough units.How is it that Chinese cars have multiple lidars in cars under $30k or even $25k?
Perhaps the previously expensive part was more in assembling them to consistent quality, and calibrating them to sufficient tolerances? Like, sure, anyone could source those parts and throw something together, but that doesn't do much good for a system receiving the output if it's trash.A LIDAR is a diode laser, an array of spads, some mirrors and simple plastic lenses turned by a motor. The components are extremely inexpensive (spads cost literally dollars) in volume, but require huge one-off engineering costs (I.e. software/firmware). Engineers are cheap in China, and one-off costs become insignificant if spread across enough units.
People in tech who don't do imaging had this idea that some how a brushless motor and a spinning silicon chip was somehow going to be impossibly expensive, but they were dead wrong.
The expensive part is probably patent licensing. Thus how cheaply Chinese companies can produce themPerhaps the previously expensive part was more in assembling them to consistent quality, and calibrating them to sufficient tolerances?
Perhaps the previously expensive part was more in assembling them to consistent quality, and calibrating them to sufficient tolerances? Like, sure, anyone could source those parts and throw something together, but that doesn't do much good for a system receiving the output if it's trash.
I doubt the devices are actually expensive, even in the USA. When you look at low-volume precision optical devices, the price might be 20, 50, even 100 times the cost of the hardware because the tiny number of units sold must pay off the huge engineering costs that went into designing it. But if you're Waymo or Baidu and you're making thousands of units per year, you don't care about the sunk costs that went into designing your LIDAR, you care about how much it costs you to make the units you need for the coming quarter's expansion. That number will be easily 20 times less than the list price of a LIDAR system.The expensive part is probably patent licensing. Thus how cheaply Chinese companies can produce them
LIDARs have the exact same manufacturing problem that chipscale modems had for a long time: processors and transistors weren't fast enough to do anything active to the analog signals, so you needed very large physical structures to do filtering, tuning, etc.. Modems suddenly became trivially cheap to make when we could insert active electronics into the frontend, because all the 'black magic' physical structure disappeared.I doubt the devices are actually expensive, even in the USA. When you look at low-volume precision optical devices, the price might be 20, 50, even 100 times the cost of the hardware because the tiny number of units sold must pay off the huge engineering costs that went into designing it. But if you're Waymo or Baidu and you're making thousands of units per year, you don't care about the sunk costs that went into designing your LIDAR, you care about how much it costs you to make the units you need for the coming quarter's expansion. That number will be easily 20 times less than the list price of a LIDAR system.
Exactly how fast do you think the analog bandwidth is on a SPAD array used in automotive lidar?LIDARs have the exact same manufacturing problem that chipscale modems had for a long time: processors and transistors weren't fast enough to do anything active to the analog signals
I really don't know anything about the specifics of the AFE of these things, just their construction and how they evolved over the past ~15 years or so. Moving away from hybrid construction is the primary driving force of cost reduction in 'early' LIDARs (i.e. going from ~$10k to $1k units).Exactly how fast do you think the analog bandwidth is on a SPAD array used in automotive lidar?
Few hundred MHz for 1 cm resolution.I really don't know anything about the specifics of the AFE of these things, just their construction and how they evolved over the past ~15 years or so.
Don't really get what you're going at. I understand the mixing frequency is going to be easily slow enough, but the problem is with - effectively - your carrier frequencies, right? That's where you're doing the filtering, and for lidar that's e.g. 905nm/360GHz (or with lidar it's usually a wave package of order 10-100 wavelengths, so 3-30GHz). So to make e.g. a mixer or narrowband filter, traditionally you do that with a tuned cavity or with passive elements on a waveguide. That's not something you can do on FR4 with discrete components because it's too inconsistent, and it's not something you were able to do in silicon until pretty recently because they didn't run in the GHz range and also had pretty hard limits on the kinds of passives you could create on silicon.Few hundred MHz for 1 cm resolution.
I'm curious when you think it will be possible to make processors and transistors fast enough to operate at MHz frequencies?
I'm pointing out that if you look at the bandwidth of these devices you'll see that they're orders of magnitude slower then you're assuming because they work in a different way than you think.Don't really get what you're going at.
Actual automotive LIDAR is incoherent and so does not have a mixer. You simply pulse out light and time the reflection. Your detection electronics are essentially a SPAD and a timer triggered by the rising edge from the SPAD. It is really simple compared to what you are thinking and why I keep saying that these systems can be made really cheap in volume.I understand the mixing frequency is going to be easily slow enough, but the problem is with - effectively - your carrier frequencies, right?
You are thinking of coherent lidar, which is not used in automotive. Mixers at optical frequencies are implemented with interferometry using optical fibers or silicon waveguides rather than transistors or filters. This down converts the THz optical frequencies to whatever bandwidth you want to work at, which is set by the tuning rate of the laser source driving the system. There is a similar way to do it with pulsed rather than swept lasers, but it is less practical. If you don't mind reading out a few thousand points per second, you can tune the laser slowly, read out at kilohertz bandwidth and detect on your phone's audio jack. Typically though you operate at few hundred MHz, which gives you a few hundred megavoxel/s rate, and is kind of a sweet spot for inexpensive A/D chips and FPGAs. Plus at a certain point you just run out of photons if you try to scan faster, especially if you want the laser to be eye safe.That's where you're doing the filtering, and for lidar that's e.g. 905nm/360GHz (or with lidar it's usually a wave package of order 10-100 wavelengths, so 3-30GHz). So to make e.g. a mixer or narrowband filter, traditionally you do that with a tuned cavity or with passive elements on a waveguide. That's not something you can do on FR4 with discrete components because it's too inconsistent, and it's not something you were able to do in silicon until pretty recently because they didn't run in the GHz range and also had pretty hard limits on the kinds of passives you could create on silicon.