3 ms·
Active sensing like Lidar is even better than night vision. The side view of a damaged truck is really hard to train as a relevant class reliably, even for Karp
by jeffreygoesto 5y ago
Active sensing like Lidar is even better than night vision. The side view of a damaged truck is really hard to train as a relevant class reliably, even for Karpathy.
- Workaccount2 5y agoAll the data should be there for the computer to decide that yes there is a large object, yes it is in the road, and yes we are on track to hit it.
- jeffreygoesto 5y agoYou'd be surprised how much modeling is needed and how little the raw sensor data has to do with 'objects'.
- KaiserPro 5y agonot really, its a generic obstruction. You don't need to classify it as a car, just a generic object blocking the way.
- jeffreygoesto 5y agoWhat class are "generic" objects and what would be a typical representative? ;)
- KaiserPro 5y agoroad obstacles. rock fall, tree, building. Given that the road is occluded, this needs to be in the training data, if only for autonomous lane following.