Seems like a pretty biased article which seems to largely ignore quickly increasing sensor ability (cameras, pairs of cameras, radar, and lidar). They also ignore
quickly increasing amount of CPU power for vision like tasks (parallel) like the Nvidia TX2. No reason that shouldn't keep improving over the next few years. The article also repeats the popular refrain that lidar is the only reasonable solution. Funny how human eyes (just 2) aren't bad. I've also read reports that lidar is particularly susceptible to things like fog and dust.
I can't see why a dozen or so cameras can't do quite well compared to a lessor number of lidar units. Especially if you use pairs of cameras which makes it much easier to pick out 3D features. Human eyes are only separated by a few inches, no reason pairs of cameras couldn't be separated by 6 feet if depth perception is a limiting factor.
Machine learning has been increasing quite quickly (things like recognizing human speech, identifying images, computer vision, tracking objects, etc).
Current trajectories seem to imply pretty large improvements in the next 3-4 years. Things are somewhat delayed because Tesla just switched from pretty poor sensors to processors to a significantly improved hardware last year. The software is still in the process of catching up.
I expect quite nice autonmous driving solutions will be available in the discussed 3-4 year time frame and the roads will be significantly safer because of them.
The article also seems to exaggerate the difficulty in testing. Tesla (a fairly small car company) already has quite a few miles under it's belt, even if you ignore all the miles on the previous generation hardware. The previous reported number of dropping airbag deployments by 40% is a huge step in the right direction. With even a pessimistic number of model 3's shipping there will be ample chance to show if tesla's system is better than the average human driver.
I expect pretty much all the large car manufacturers to update their current systems that provide predictive braking to include similar capabilities and catch up and surpass Tesla's 100's of millions of miles driven under computer supervision.