Obstacle identification and avoidance, and route planning in a dynamic environment are some of the biggest challenges with autonomous ground cars. In the sky, you don’t have bicyclists and delivery truck drivers stopped in the lane, and stuff like that. Even DJI drones can fly around trees and buildings. Again though, it’s not that there’s no risk, but the problems aren’t nearly as difficult to solve.
In cars, you perform SLAM, simultaneous localization and mapping. In the sky, SLAM is way easier.
Sure, but we can expect that they will be communicating with each other in a RemoteID kind of way, but with additional information like up to date location and intended motion vector. Also, air traffic is already divided up into different heights for different directions.
Imagine having to work out self driving in 3D traffic though. I guess at least you won’t have pedestrians, mostly.
Obstacle identification and avoidance, and route planning in a dynamic environment are some of the biggest challenges with autonomous ground cars. In the sky, you don’t have bicyclists and delivery truck drivers stopped in the lane, and stuff like that. Even DJI drones can fly around trees and buildings. Again though, it’s not that there’s no risk, but the problems aren’t nearly as difficult to solve.
In cars, you perform SLAM, simultaneous localization and mapping. In the sky, SLAM is way easier.
Aren’t other flying cars going to be the dynamic part of the environment? Is what I’m asking
Sure, but we can expect that they will be communicating with each other in a RemoteID kind of way, but with additional information like up to date location and intended motion vector. Also, air traffic is already divided up into different heights for different directions.
Yeah true, I guess if you can enforce that as a standard there’s already tons of research on swarming behaviour with drones to work with.
It’s a good thing that birds aren’t real, and already have RemoteID built-in.