I saw an interesting comment on the blog post. Is anyone keeping tab on the project knows if Google in working on some sort of communication between vehicles on road. That will make the self driving cars much more accurate. Lot of 'sudden' circumstances will be predictable by the car.
The latest chapter for the self-driving car: mastering city street driving
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Re: The latest chapter for the self-driving car: mastering city street driving
#12This is amazing, but if anything it's made me more wary of some of the challenges the project faces. - What if the cyclist fell off his bike in front of the car? How quickly can the computer process the real-time imagery and react compared to a human with their peripheral vision. - What if the cyclist swung from the pavement on to the road. A human driver will probably have spotted the hazard (we all train for that k…
Wow. You are giving waaaayyy to much credit to the responsiveness of humans. Roughly 1 in 4 drivers have a statistically significant amount of alcohol in their blood system. Lets also not forget distractions like cell phones, finding/selecting music, passengers, OTC and prescription drugs, et al.
From my perspective, I'm the only good driver on the road and everyone else needs to go back to driving school or have their license revoked. :)
Re: The latest chapter for the self-driving car: mastering city street driving
#13This is amazing, but if anything it's made me more wary of some of the challenges the project faces. - What if the cyclist fell off his bike in front of the car? How quickly can the computer process the real-time imagery and react compared to a human with their peripheral vision. - What if the cyclist swung from the pavement on to the road. A human driver will probably have spotted the hazard (we all train for that k…
As I understand it, the computer has enough sensors (LIDAR, etc) that it has far better vision coverage than a human. That is, I believe it can see in all directions at once.
Re: The latest chapter for the self-driving car: mastering city street driving
#14This is amazing, but if anything it's made me more wary of some of the challenges the project faces. - What if the cyclist fell off his bike in front of the car? How quickly can the computer process the real-time imagery and react compared to a human with their peripheral vision. - What if the cyclist swung from the pavement on to the road. A human driver will probably have spotted the hazard (we all train for that k…
On the other hand it might be a lot better to detect other kinds of hazards.
Re: The latest chapter for the self-driving car: mastering city street driving
#15As a city cyclist, the Google solution looks way safer than the current status quo...
Re: The latest chapter for the self-driving car: mastering city street driving
#16This is amazing, but if anything it's made me more wary of some of the challenges the project faces. - What if the cyclist fell off his bike in front of the car? How quickly can the computer process the real-time imagery and react compared to a human with their peripheral vision. - What if the cyclist swung from the pavement on to the road. A human driver will probably have spotted the hazard (we all train for that k…
The car has many fewer limitations on its peripheral vision when checking hazards because it has dozens of sensors all over the car, as opposed to the humans' very limited eyesight.
Re: The latest chapter for the self-driving car: mastering city street driving
#17This is amazing, but if anything it's made me more wary of some of the challenges the project faces. - What if the cyclist fell off his bike in front of the car? How quickly can the computer process the real-time imagery and react compared to a human with their peripheral vision. - What if the cyclist swung from the pavement on to the road. A human driver will probably have spotted the hazard (we all train for that k…
There are over 30,0000 deaths in the US alone every year, which is actually near historical lows. I believe there are several million accidents and hundreds of thousands of injuries.
Now the computer might not be perfect but if it's 10x better, wouldn't that be acceptable?
Re: The latest chapter for the self-driving car: mastering city street driving
#18This is amazing, but if anything it's made me more wary of some of the challenges the project faces. - What if the cyclist fell off his bike in front of the car? How quickly can the computer process the real-time imagery and react compared to a human with their peripheral vision. - What if the cyclist swung from the pavement on to the road. A human driver will probably have spotted the hazard (we all train for that k…
Somebody correct me if I'm wrong, but Google cars still can't drive in the rain or in the snow. Not even on a wet street. They have driven all those thousand miles in Mountain View, Calif. in good weather.
Generally lidar's don't work well with rain or reflective surfaces.
Re: The latest chapter for the self-driving car: mastering city street driving
#19Given that the NSA will likely have a backdoor into any automated driving system, is this really a technology you'd like to see become all pervasive? "We don't like this guy's ideology - ok, let's arrange for him to have an 'accident'".
Re: The latest chapter for the self-driving car: mastering city street driving
#20This is amazing, but if anything it's made me more wary of some of the challenges the project faces. - What if the cyclist fell off his bike in front of the car? How quickly can the computer process the real-time imagery and react compared to a human with their peripheral vision. - What if the cyclist swung from the pavement on to the road. A human driver will probably have spotted the hazard (we all train for that k…
Humans have very poor peripheral vision, while the self-driving car can see perfectly in all directions. I think it also has a faster reaction time. (Though either way, a car may not always be able to break in time.)