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However if the sat nav gives you a prior that says 35 mph, and the road sign says 85 mph, do you trust it? Especially if the adjacent roads are also low speed,
by joshvm 7y ago
However if the sat nav gives you a prior that says 35 mph, and the road sign says 85 mph, do you trust it? Especially if the adjacent roads are also low speed, and it's clearly not a highway etc. This is perhaps a bad example as there are plenty of roads in the UK that transition from national to 30 in rural areas (and plenty of hamlets that you can bomb through).
Roadworks are an obvious situation where you drive at a _lower_ speed. This would be a case where you could use computer vision to identity an obstruction, identify roadworks and then adjust speed.
Those databases shouldn't be out of date. Most highway agencies (UK for sure) publish planned works and improvements weeks in advance. Google and Apple both show road closures for example. I belive speed changes are similar.
- dmitrygr 7y agoGoogle maps keep saying 101N in San carlos is 65mph. It's been 55mph due to construction for 5 months... This is literally Google's back yard
- t-writescode 7y ago65 in a 55 is much less dangerous than 85 in a 35. It wouldn’t be common that road conditions would permit very high speeds while at the same time having an artificially lowered speed limit (e.g construction). This shouldn’t be a problem, in general, with a couple extra sanity checks. I would expect the correct solution to more commonly have the opposite problem: too slow in a faster zone.
- asterisk_ 7y agoEven so, what's the worst-case scenario in biasing towards lower speed and assisting your vision system with a knowledge base? You perform the task of vision 100% of the time driving. From a purely probabilistic standpoint, even assuming highly accurate ML, the relatively infrequent database updates still make for a sensible prior. This is somewhat adjacent to what Gary Marcus has been arguing, and I think it makes a lot of sense; there seems to be no compelling reason to rely exclusively on primitives (i.e. vision) when good priors are easily accessible.