Earlier quoted context omitted.
Thanks to a number of wars and billions being pumped into the UAV market, the likes of Raytheon, Thales Optronics, FLIR Systems, ITT, BAE, IAI, and probably a hundred other companies have made self driving cars possible. Not Google. Even when I was working on autonomous vehicles 10+ years ago, the entire setup was basically a "solved problem" minus environmental sensing accurate and reliable enough to be put in the c…
UAV control has basically nothing to do with self-driving cars. It's a completely different problem. The only piece that's shared is the GPS/IMU, and it's a small piece. And if you think "the state machine for how to behave on paved roads" is the hard part, you're delusional. "Environmental sensing accurate and reliable enough" isn't the problem either. Although fancy lasers and radars can help, we have had cameras,…
Even the early Daimler-Benz projects of the 90's had fully functional software stacks that had implemented all the required decision making logic of driving.
While it is true that we have cameras and microphones that work better than our own eyes and ears, I don't think anyone would dispute the fact that the sensory processing isn't to human levels yet. The advancements that have been made are in different types of sensing devices that eliminate the need for heavy post-processing of data (image pattern recognition, etc) in software.
I do give credit to Google for making it happen, both as an integrator, and in lobbying efforts. But there is a lot of standing on the shoulders of giants, in comparison to pure software fields where they have made huge industry disrupting shifts (like BigTable, GFS, etc).