The race to find the 'holy grail' of drone technology
cbc.ca
cbc.ca
And we have self driving cars, arguably far more complex than the relatively simple task of flying through empty space.
On one end of the spectrum, you could have the Roomba-style drone that physically feels the obstacles. Contact on a bumper would instruct the drone to stop, avoiding a flight-ending collision. It would probably need to fly pretty slowly though.
On the other end of the spectrum, you could match the incredible FPV drone pilot Charpu [1] with onboard AI. Flying full speed through very narrow gaps with a long term goal in mind.
There's also concern already that it's way too easy to spoof ADS-B with false data, and that it won't scale well to the number of drones expected to be flying.
This is more for commercial operations in class B airspace, where you need to get permission from the controlling FAA tower. Real estate photography in a city or shooting a movie, for example.
This doesn't help with avoiding stationary objects; that's a separate problem and requires sensors. ADS-B just tells all the players in controlled airspace where the other players are.
Also one has to consider that the mode S transponder is using a 24bit identifier. While this has a lot of sense for modern civil aviation (there are not as many planes) the same cannot be guaranteed as soon as you have many more temporary users of your airspace (e.g. swarms of Amazon delivery drones). IMHO regulators should aim first to create an effective solution that works well for drones (e.g. allowing ATC to broadcast digital commands to guide drones if necessary, btw there is a similar effort already for commercial planes) and then find a smart way to integrate commercial and drone aviation systems.
Btw really nice product!
The aviation powers that be are simply not interested in a standards based, low cost, uncertified location beaconing system with low power consumption even through the world desperately needs such a thing.