3 ms·

The amount of information an automated vehicle would have to be able to decipher to be capable of being truly autonomous is pretty much pushing beyond the most

The amount of information an automated vehicle would have to be able to decipher to be capable of being truly autonomous is pretty much pushing beyond the most advanced A.I. and visual learning academia has discovered today. I don't know what gps resolves to but it's definitely not down to the foot that's required for some of the hairy situations truckers encounter on the road and our visual learning technology is terribly insufficient for even the most basic road conditions much less your average New England construction zone. Even google cars can't handle weather or potholes or unpredictable situations well. From what I read they had to be coded for very specific paths around San Fran and any unpredictability would cause them trouble. A more likely scenario in my mind is Drone trucks. Why can't a trucker head to the office drive his truck from his desk then go home at night? Combine that with some gps autopilot and/or magnetic strips in the road as a guide and that's totally realistic even with todays technology. These are more likely scenarios. Edit: even cooler would be autonomous or drone blimps carrying cargo! http://rt.com/news/aeroscraft-revolutionary-airship-cargo-187/ http://rt.com/news/aeroscraft-revolutionary-airship-cargo-18...

Sophistifunk 12y ago
Drone trucks would also provide a metric fuckton of training data for autonomous vehicle research. I dunno how much effect the lag would have on safety.
toomuchtodo 12y ago
> I don't know what gps resolves to but it's definitely not down to the foot that's required for some of the hairy situations truckers encounter on the road Precision positioning, using correction data similar to WAAS (http://en.wikipedia.org/wiki/Wide_Area_Augmentation_System http://en.wikipedia.org/wiki/Wide_Area_Augmentation_System) but heavily localized can provide sub-centimeter positioning data. This is already in use today for agriculture (self-driving combines, with waypoints configured from the farmer's desktop at home). > A more likely scenario in my mind is Drone trucks. Why can't a trucker head to the office drive his truck from his desk then go home at night? UAVs can stay flying if a signal is lost, or navigate using GPS to the nearest friendly runway to autoland if they lose touch with their pilot in the Las Vegas area (where most UAVs are piloted from). Ground vehicles traveling 60+ mph do not have this option. Therefore, AI is a superior option.
- nickthemagicman 12y ago
  I hope they can figure it out. They haven't figured it out on trains and those travel along a predictable track.

Sophistifunk 12y ago

Drone trucks would also provide a metric fuckton of training data for autonomous vehicle research. I dunno how much effect the lag would have on safety.

toomuchtodo 12y ago

> I don't know what gps resolves to but it's definitely not down to the foot that's required for some of the hairy situations truckers encounter on the road Precision positioning, using correction data similar to WAAS (http://en.wikipedia.org/wiki/Wide_Area_Augmentation_System http://en.wikipedia.org/wiki/Wide_Area_Augmentation_System) but heavily localized can provide sub-centimeter positioning data. This is already in use today for agriculture (self-driving combines, with waypoints configured from the farmer's desktop at home). > A more likely scenario in my mind is Drone trucks. Why can't a trucker head to the office drive his truck from his desk then go home at night? UAVs can stay flying if a signal is lost, or navigate using GPS to the nearest friendly runway to autoland if they lose touch with their pilot in the Las Vegas area (where most UAVs are piloted from). Ground vehicles traveling 60+ mph do not have this option. Therefore, AI is a superior option.

nickthemagicman 12y ago
I hope they can figure it out. They haven't figured it out on trains and those travel along a predictable track.