Elon Musk's robotaxi will have a human driver for 'safety' reasons
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Does the taxi driver remember every sign in the city, every road and parking spot? No. They are humans - they remember the streets, some important spots that are confusing, maybe a couple of shortcuts. There is a huge difference between having a 3d map of everything in the city in the memory, and setting a GPS to an address, reading the signs as you go by and adhering to them. Also if self driving tech is to expand, you don't go putting the entire world into memory - that's not scaleable.
Does the taxi driver remember every sign in the city, every road and parking spot? No.
having a 3d map of everything in the city in the memory
you don't go putting the entire world into memory
Cars don't do this either, do they? Surely this type of data is streamed as needed. Just like video games do. This type of optimization has been around for decades... We need not worry about that in cars either.
I'm just saying that GPS and LIDAR is needed in addition to just camera input.
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That's because Tesla self-driving takes a different, and imo way worse, approach.
Waymo relies on mapping, the entire city is basically 3D modelled and loaded into the car memory. It's more or less 'on rails'.
It also uses LIDAR for live data alongside imaging cameras, again building a 3D model of its environment combined with image recognition.Tesla decided that, for some reason, they want their cars to drive 'like humans', only relying on vision and deployable anywhere, without pre-mapping.
Demanding a computer to behave like humans, instead of using a computer's strengths, seems like a very poorly thought out move to me.
wrote on last edited by [email protected]Arguably mapping out cities to this degree across the globe is a ginormous effort, on an order of magnitude more so than what Google Maps etc. currently provide. Thus I don't think it's entirely unreasonable to try designing something that operates purely in terms of sensory input (and of course map data where available, those approaches don't have to be mutually exclusive).
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I can imagine very few people will be lining up for that job.
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- Will have a driver in the "robo" taxi
- Will need to only run on specific area at specific time frame
- Won't run in "bad" weather
- Has all other kinds of small rules and quirks.
This seems like a complete waste of time for everyone involved.
It's almost like it's a grift for government contracts
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This is even worse than I expected. I expected another delay, or a autonomous taxi with a remote driver constantly monitoring at best. This is no better than a regular taxi.
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Does the taxi driver remember every sign in the city, every road and parking spot? No.
having a 3d map of everything in the city in the memory
you don't go putting the entire world into memory
Cars don't do this either, do they? Surely this type of data is streamed as needed. Just like video games do. This type of optimization has been around for decades... We need not worry about that in cars either.
I'm just saying that GPS and LIDAR is needed in addition to just camera input.
No argument on gps and lidar from me. Streaming doesn't work. You are probably thinking about Microsoft flight sim, which completely fails (and is the first "completely streamed" map). Out in the "real world", you don't have a fiber connection to stream gigabytes every hour.
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SMH not even 700 ppl remote working in India like Amazon
Are they allowed to honk?
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No argument on gps and lidar from me. Streaming doesn't work. You are probably thinking about Microsoft flight sim, which completely fails (and is the first "completely streamed" map). Out in the "real world", you don't have a fiber connection to stream gigabytes every hour.
Streaming doesn't work. You are probably thinking about Microsoft flight sim, which completely fails (and is the first "completely streamed" map).
Streaming might be the wrong word. I'm talking about loading just enough data to do what's relevant right now. And I'm not talking about full 3D geometry of the world, that's not helpful to a vehicle. It needs to know in 2D where it can and cannot drive, as well as real non-static/dynamic obstacles (what the cameras and LIDAR are for).
You don't need gigabytes of data to load a 2D geometry of a small area like a part of a city, surely. You can also cache it on disk. Your phone can even do this. In fact, you can ask it to cache however wide of an area as you'd like. You might hit several hundred megabytes but that's like a whole midsize city probably.
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Elon spent all this money on making a taxi that drives itself but needs a driver and only works some of the time.
Elon is a genius.....
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so... uhh... what's the point?
