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Or an ambulance going on the opposite direction (because that’s the only available choice) on a boulevard in a busy capital city like Bucharest. Saw that a coup
by paganel 5y ago
Or an ambulance going on the opposite direction (because that’s the only available choice) on a boulevard in a busy capital city like Bucharest. Saw that a couple of hours ago, the ambulance met a taxi which was going the right way but of course that the taxi had to stop and find a way for the ambulance to pass (by partly going on the sidewalk). I said to myself that unless we get to AGI there’s no way for an “autonomous” car to handle that situation correctly.
- cgrealy 5y agoThat is 101 for autonomous driving. Solved years ago.
- jacquesm 5y agoOh you can have that in Bucharest even with regular cars. Lanes are pretty fluid there, as is the preferred direction of travel, I've lived there for only two years and I've seen more vehicles go in the opposite direction ('ghost riders' we call them here) than anywhere else over the rest of my life. Romanian traffic is super dangerous, especially if you are a pedestrian and you can just about forget cycling in traffic. It is also the only place where a car behind me honked to get me to move over when I was walking on the sidewalk.
- chx 5y agoYou don't even need to go that far, the other day I saw an ambulance going down on Burrard Street in Vancouver, BC without lights or sirens then I guess a call came in , it put on both and turned around. It's a six lane street where normal cars aren't allowed to just turn around. It was handled real well by everyone involved, mind you, it wasn't unsafe but I doubt a computer could've handled it as well as the drivers did.
- trhway 5y agoa very complex looking behavior sometimes comes from the very simple easy to implement principles, like say a bird flock behavior https://en.wikipedia.org/wiki/Flocking_(behavior)#Rules https://en.wikipedia.org/wiki/Flocking_(behavior)#Rules I don't believe people are using their full AGI when driving (and the full "AGI" may as well happen to be a set of basic pattern matching capabilities which we haven't discovered yet). After decades of driving the behavior is pretty automatic, and when presented with complex situation following a simple rule, like just brake, is frequently the best, or close to it, response.
- VBprogrammer 5y agoTo me the solution to that is obvious and far better than the current status quo. The cars are all attached to a network and when an emergency service vehicle needs to get somewhere in a hurry there is a coordinated effort to move vehicles off the required route. As things stand emergency vehicles have to cope with a reasonable minority of people who completely panic and actually impede their progress.
- zestyping 5y agoThis has to work even if network reception is weak or absent. You can't be certain that 100% of cars will receive the signal and get themselves out of the way in time.
- njarboe 5y agoPeople at Tesla and other autonomous driving companies, of course are aware and worry about such situations. If you have a few hours and want to see many of the technologies and methods that Tesla is using to solve them, check out Tesla's recent "AI day" presentation. Tesla is quite cool about openly discussing the problems they have solved, problems they still have, and how they are trying to solve them. An incomplete list includes: 1) Integrating all the camera views into one 3-D vector space before training the neural network(s). 2) A large in-house group (~1000 people) doing manually labeling of objects in that vector space, not on each camera. 3) Training neural networks for labeling objects. 4) Finding edge cases where the autocar failed (example is when it loses track of a vehicle in front of it when the autocar's view is obscured by a flurry of snow knocked off the roof of the car in front of it), and then querying the large fleet of cars on the road to get back thousands of similar situations to help training. 5) Overlaying multiple views of the world from many cars to get a better vector space mapping of intersections, parking lots, etc 6) New custom build hardware for high speed training of neural nets. 7) Simulations to train rarely encountered situations, like you describe, or very difficult to label situations (like a plaza with 100 people in it or a road in an Indian city). 8) Matching 3-D simulations to what the cars cameras would see using many software techniques.
- tuatoru 5y agoYou described a lot of effort, but no results.
- michaelt 5y ago> People at Tesla and other autonomous driving companies, of course are aware and worry about such situations. Yeah, a Tesla couldn't possibly drive into a stationary, clearly visible fire engine or concrete barrier, on a dry day, in direct sunlight.