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It's great that this can recognize pedestrians, but I've still seen no theory around decision-making. This last week, I happened upon a tree that fell into the

It's great that this can recognize pedestrians, but I've still seen no theory around decision-making. This last week, I happened upon a tree that fell into the road after a bad wind storm. I _know_ a tree when I see it, and I know it is large and heavy and difficult to move and would take a great deal of time for that to happen, so I immediately cut to a route around it. But what if it was a bus or truck turning around? Well I know that a bus turning around is large and heavy and difficult to move, but it will be moving out of the way in a moment, so I can wait for that to happen. When are we going to start seeing methods for measuring intent or theory around guessing the future nature of an object based on contextual understanding of that object? How does a car recognizing a pedestrian help if the pedestrian starts running toward the car? It just feels like there's a lot of patting of backs that happens around this stuff, when we really aren't even close until we have a system that has as learning and understanding approach that is as abstract as a human's.

roymurdock 10y ago
As we move from relying on humans to relying on machines, we'll need to develop better infrastructure to guide those machines. Our current roads are OK for human drivers, as they are designed heavily around visual signals, we can process and synthesize a lot of visual/audio/learned data well. Machines can process visual data faster than us, but can't synthesize it with other data nearly as well as we can. Adding sensors that passively communicate information, such as the location of lanes, other cars, and humans, will reduce a lot of the issues and edge cases of visual-based ADAS systems. I could imagine a future where cars are always listening for smartphones (or other wearable/implanted sensors) in "pedestrian" mode, which could be used to override regular function and stop the vehicle if detected within a certain distance, or intersecting at a certain trajectory.
hacker_9 10y ago
Agreed. Reminds me of this article: "The state of Computer Vision and AI: we are really, really far away." (2012) [1] [1] http://karpathy.github.io/2012/10/22/state-of-computer-vision/ http://karpathy.github.io/2012/10/22/state-of-computer-visio...
monk_e_boy 10y ago
And when you see a bus driver come across a tree or some other impassable object in the road, the level of decision making as the driver leans out the window, barks orders to other divers to back up. Does a 3 point turn, bumping up the pavement, reversing down someones driveway, scooting over the grass verge while giving a cheery wave to everyone he pissed off while doing it. AI is not there yet.

roymurdock 10y ago

As we move from relying on humans to relying on machines, we'll need to develop better infrastructure to guide those machines. Our current roads are OK for human drivers, as they are designed heavily around visual signals, we can process and synthesize a lot of visual/audio/learned data well. Machines can process visual data faster than us, but can't synthesize it with other data nearly as well as we can. Adding sensors that passively communicate information, such as the location of lanes, other cars, and humans, will reduce a lot of the issues and edge cases of visual-based ADAS systems. I could imagine a future where cars are always listening for smartphones (or other wearable/implanted sensors) in "pedestrian" mode, which could be used to override regular function and stop the vehicle if detected within a certain distance, or intersecting at a certain trajectory.

hacker_9 10y ago

Agreed. Reminds me of this article: "The state of Computer Vision and AI: we are really, really far away." (2012) [1] [1] http://karpathy.github.io/2012/10/22/state-of-computer-vision/ http://karpathy.github.io/2012/10/22/state-of-computer-visio...

monk_e_boy 10y ago

And when you see a bus driver come across a tree or some other impassable object in the road, the level of decision making as the driver leans out the window, barks orders to other divers to back up. Does a 3 point turn, bumping up the pavement, reversing down someones driveway, scooting over the grass verge while giving a cheery wave to everyone he pissed off while doing it. AI is not there yet.