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there are deep learning solutions that classify super well wether the driver is paying attention or not. you could just play a buzzer when that happens, and te

by make3 9y ago

there are deep learning solutions that classify super well wether the driver is paying attention or not. you could just play a buzzer when that happens, and tell them they will get fired if it happens too often (after human review of the tapes ofc)

eyeing_see 9y ago
To add to your comment: GM's SuperCruise semi-autonomous mode uses a real-time head and eye-tracking system to ensure the driver is alert. I don't know if it's based on DL, but it's available in a production vehicle.
slivym 9y ago
This seems like a misunderstanding of the problem. The problem is that it's very difficult paying attention to something you have no control over or interaction with. To stick in a prod to punish people isn't going to make it easier. You'll end up just firing a lot of drivers. What would be better is to give the human something to do. For example you could put a set of input devices in the car for the human: Tell them to record their 'level of confidence' so you can check that against the cars confidence levels, or input suggesting steering adjustments to gauge where the car is differing from normal human behaviour. That way when your driver has become an active participant (albeit probably useless) in the driving.
- bkor 9y ago
  Train drivers are expected do just that. Driving a train has way less interaction than a car. They managed to setup a system (at least in Netherlands) where they do pay attention. Specifically hiring people based on personality/skill, various things in the train, checks, suspension when you miss a red sign, etc. It seems Uber did none of that. It's super obvious the safety driver isn't paying attention. Why wasn't this noticed? Why wasn't a system setup to handle this? It feels like they cut corners.
usrusr 9y ago
There would be an adversarial neural network on the other end trying to fool the former into falsely detecting attention, i'm not sure this would end well. In the end they might have ended up with a perfectly distracted driver that shows no visible signs of inattentiveness in the interior video. But I fully agree with the general idea: if Uber had quickly conjured up one of their glossy presentations outlining an impressive arsenal of countermeasures against safety driver inattentiveness, they would be in a much better position now. They didn't though, and everybody (including myself) is assuming that Uber just did not care: if a safety driver fails at their impossible job, it's their responsibility, not Uber's. Turns out it might still be Uber's problem though.

by make3 9y ago

eyeing_see 9y ago

To add to your comment: GM's SuperCruise semi-autonomous mode uses a real-time head and eye-tracking system to ensure the driver is alert. I don't know if it's based on DL, but it's available in a production vehicle.

slivym 9y ago

This seems like a misunderstanding of the problem. The problem is that it's very difficult paying attention to something you have no control over or interaction with. To stick in a prod to punish people isn't going to make it easier. You'll end up just firing a lot of drivers. What would be better is to give the human something to do. For example you could put a set of input devices in the car for the human: Tell them to record their 'level of confidence' so you can check that against the cars confidence levels, or input suggesting steering adjustments to gauge where the car is differing from normal human behaviour. That way when your driver has become an active participant (albeit probably useless) in the driving.

bkor 9y ago
Train drivers are expected do just that. Driving a train has way less interaction than a car. They managed to setup a system (at least in Netherlands) where they do pay attention. Specifically hiring people based on personality/skill, various things in the train, checks, suspension when you miss a red sign, etc. It seems Uber did none of that. It's super obvious the safety driver isn't paying attention. Why wasn't this noticed? Why wasn't a system setup to handle this? It feels like they cut corners.

usrusr 9y ago

There would be an adversarial neural network on the other end trying to fool the former into falsely detecting attention, i'm not sure this would end well. In the end they might have ended up with a perfectly distracted driver that shows no visible signs of inattentiveness in the interior video. But I fully agree with the general idea: if Uber had quickly conjured up one of their glossy presentations outlining an impressive arsenal of countermeasures against safety driver inattentiveness, they would be in a much better position now. They didn't though, and everybody (including myself) is assuming that Uber just did not care: if a safety driver fails at their impossible job, it's their responsibility, not Uber's. Turns out it might still be Uber's problem though.