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Machine learning can't do that and won't be able to for a long time even in principle, to say nothing of doing it in real-time on a car. Autonomous driving cont
by quonn 12y ago
Machine learning can't do that and won't be able to for a long time even in principle, to say nothing of doing it in real-time on a car. Autonomous driving contains very little machine learning for all the sensing and high-level parts.
It may contain some low-level classifiers for things like people and possibly other cars, but this is not strictly required and car manufacturers generally try to avoid it, because it is difficult to reason about. Traffic sign classification is another candidate, but again, at least the Google car probably pulls this from their precomputed map.
Finally, none of these classifiers are trained online, in the car, but always offline, likely on carefully selected data on some GPUs for many days or weeks.
- JumpCrisscross 12y agoFire-and-forget machine learning may be a bit overexuberant, but one should not discount the value of these data. On one hand, there is sensory data about the real road environments these Teslas are traversing. On the other hand, we have human driving decisions. Together, one has–at at a minimum–a rich test environment. At a stretch, it could be analogous to the corpus on which Google developed its translation capabilities. The nightly reporting-home of Tesla's fleet shows how interconnectedness is introducing network effects into unexpected places. Sort of like how map quality is now driven–in part–by the user base.
- dwd 12y agoBy this time next year when they have 40,000+ vehicles all logging conditions and driver decisions, in car processing and OTA updates to their testing algorithms may be the better option. Google's fleet come back to base every day, Tesla have to think very differently in their approach and bandwidth could be their biggest issue.
- p1esk 12y agoActually, machine learning can do that. Back in 1995, a team at Carnegie Mellon used a neural network in a car: "ALVINN is a forward-looking, vision based driving system that uses a neural network to learn the mapping between road images and appropriate vehicle turn radius. By watching a person drive for about 5 minutes, it can learn the relevant features required for driving[3]. It has successfully driven our testbed vehicles on unlined paved paths, jeep trails, lined city streets and interstate highways." http://www.cs.cmu.edu/afs/cs/usr/tjochem/www/nhaa/navlab5_details.html http://www.cs.cmu.edu/afs/cs/usr/tjochem/www/nhaa/navlab5_de...
- dzhiurgis 12y agoWouldn't recaptcha video would help google? The problem obviously is ... Privacy and more importantly - upload speeds to google servers. US internet infrastructure wouldn't cope with thousands of cars uploading crisp HD videos. Probably google infrastructure wouldnt cope either.