Crissa
Well-known member
- First Name
- Crissa
- Joined
- Jul 8, 2020
- Threads
- 138
- Messages
- 19,571
- Reaction score
- 31,475
- Location
- Santa Cruz
- Vehicles
- 2014 Zero S, 2013 Mazda 3
The problem with the lidar/vision question isn't recognizing things : In almost all the cases of a serious problem it's not that the AI stack didn't see something, it's that it didn't react appropriately.
Cruze didn't get in trouble for not seeing the lady that was thrown under the car - it knew the lady was there, and made the wrong choice. (And the company failed to respond appropriately, either, humans lagging in their response to authorities).
The crash in Phoenix that killed a woman: The automatic braking system saw her, and so did the navigation system. The prior system had been disabled and the latter system decided the trash bags she was carrying weren't something to navigate around.
It's the decisions that's turned out to be difficult, not sensing shapes around the car.
Roads are often unclear on what's going on. Lines get painted wrong; signs are in the wrong place, corners are too tight or don't have enough vision for Humans and yet we let Humans drive on them!
Remember that barrier on 101 that a guy's Autopilot drove into almost a decade ago now? That rut had been there for years, I'd bounce off it in my car while commuting, too. And two (2!) Human drivers had slammed into it in the prior couple months, which is why the crash barrier wasn't there - along with the car behind the Model X which crushed him after it hit the wall.
It's the decision tree that's the hard part anymore, not the sensors.
-Crissa
Cruze didn't get in trouble for not seeing the lady that was thrown under the car - it knew the lady was there, and made the wrong choice. (And the company failed to respond appropriately, either, humans lagging in their response to authorities).
The crash in Phoenix that killed a woman: The automatic braking system saw her, and so did the navigation system. The prior system had been disabled and the latter system decided the trash bags she was carrying weren't something to navigate around.
It's the decisions that's turned out to be difficult, not sensing shapes around the car.
Roads are often unclear on what's going on. Lines get painted wrong; signs are in the wrong place, corners are too tight or don't have enough vision for Humans and yet we let Humans drive on them!
Remember that barrier on 101 that a guy's Autopilot drove into almost a decade ago now? That rut had been there for years, I'd bounce off it in my car while commuting, too. And two (2!) Human drivers had slammed into it in the prior couple months, which is why the crash barrier wasn't there - along with the car behind the Model X which crushed him after it hit the wall.
It's the decision tree that's the hard part anymore, not the sensors.
-Crissa
Sponsored
Last edited: