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Deep Learning For Autonomous Cars And The Role Of Imitation
Dr. Lance Eliot, AI Insider
I was driving on a freeway that I rarely go onto, and the traffic was completely snarled with pure bumper-to-bumper slowness as far as the eye could see.
Besides listening to the traffic reports on the radio, my mind was clawing at finding a means to somehow get around or through this freeway road blockage. Didn’t want to get off the freeway, even if it might be faster to get to my destination, mainly because the areas off the freeway are known for high crime rates and best to be avoided. I could maybe sprout wings on my car and try to fly over the thousands of cars, but the sprouting wings are in the same place as my long awaited personal jet pack (hey, I thought we were all supposed to have jet packs by now!).
I noticed up ahead a car that was desperately trying to get from the fast lane all the way over to the upcoming freeway exit. The driver was squeezing into each successive lane to the right, pushing into those lanes and acting nearly like a maniac. I assumed that the driver had suddenly realized that their desired exit was coming and rather than having gradually gotten over to it, the driver was now in a panic. The car barely made it to the exit and I figured that’s the last I would ever see of that crazy car.
