Fewer obstacles need to be accounted for in the air and there is less in grained regulation. It feels like we are going to leapfrog the car all together. I would love to see a detailed analysis that compares these two approaches.
Fewer obstacles need to be accounted for in the air and there is less in grained regulation. It feels like we are going to leapfrog the car all together. I would love to see a detailed analysis that compares these two approaches.
For autonomous cars, the challenge is software. It's very difficult to build software that handles all the edge cases mentioned in the article. The hardware (cars) is a solved problem.
For autonomous personal flying machines, you're right that the software is easy, but the challenge is power density. The only VTOL machine that can carry humans a considerable distance without refueling is a helicopter. Helicopters are too large, disruptive, and expensive for everyone to have one. But no one has figured out how to shrink one down and still be able to carry a person.
If you compare the two approaches, one big difference is that software is improving much faster than power density. So my money would be that we solve the first one first.
A flying car system would be totally networked from day one. Id imagine it being like the cars from the minority report.
In the air you can't ignore the 3rd dimension. Every calculation your car AI was making before, will now have to grow by an order of magnitude. Even making a helicopter stay stationary in 3d space is a challenge.
The problem with emergent technology is that it's what people tend to be most afraid of, and if there ends up being situations a robotic car absolutely cannot handle that's known about, how long will it take for people to start abusing it?
And for unhandled exceptions...awhile back I was driving up 280 and a police officer pulled out in front of traffic, flipped his lights on, and started weaving back and forth across all lanes of traffic. All the drivers slowed down and kept behind the officer, obviously not sure what was going on. The officer stopped weaving at a couple points along about a one-mile stretch to get out of his car and pick up an item off the freeway, then got back in and resumed weaving, until he got up to a previously-pulled-over car and parked behind another officer.
That's definitely not something they covered in driver's ed, apart from "if something unusual is happening, slow down". But how long would it take for it to make the news if a smart car in that situation passed the car on a weave and struck a drunk guy that was stumbling along the freeway at 85mph, do you think? And do you really think every possible situation that occurs during driving will eventually be able to be handled by a smart car?
Another example, any point you run into a car or random other vehicle that's double-parked in the city. If the car can only figure out that pedestrians are blobs of pixels, does it have sufficient resolution to figure out how far away that oncoming car is, or will it just patiently sit behind that moving truck until they're done and start moving again?
There's a lot of edge cases for this tech, and most if not all of them have potentially fatal exception cases if you fail to handle them correctly.
If they're actually thinking properly (doubtful), they'll look at the rate of catastrophic accidents with human drivers, and make a call based on whether or not self-driving cars are an improvement.