3 ms·
When it comes to "closed track" and other "simulation" style things, you need to be very careful when ML is involved. I don't know if Uber/Waymo/Others have "s
by Klathmon 8y ago
When it comes to "closed track" and other "simulation" style things, you need to be very careful when ML is involved.
I don't know if Uber/Waymo/Others have "solved" this problem, but ML systems have a tendency to "learn" the wrong thing. You could run millions of simulations (both virtual or on a closed course) with "test obstacles", but the second the car encounters one a child with red balloons in the early morning on a foggy day it might not know what to do with it because that exact scenario wasn't in any simulations.
- caboteria 8y agoThey'd be using the simulator for validation, not training.
- refurb 8y agoExactly. Throw something at it the system should stop for (e.g. a child). If it doesn't, go back to the drawing board and figure out why. Agreed the test track is not ideal, that's why I was wondering if they could throw real recorded data at it. No risk to the public, but puts the system through real-world trials.