Your explanation of "could not detect" and "no longer the case" confuses me!
My understanding is: Sensors detect objects including stationary objects just fine. For example, the camera can faithfully display a picture of the stationary object. The Radar can measure the speed of a stationary object with its signal bounces back to it and it records the speed as zero.
So, in your statement that "Radar could not detect stationary objects" and to compare with what Tesla wrote on its 9/11/2016 blog "Upgrading Autopilot: Seeing the World in Radar", the radar can detect the soda can with its concave bottom:
"On the other hand, any metal surface with a dish shape is not only reflective, but also amplifies the reflected signal to many times its actual size. A discarded soda can on the road, with its concave bottom facing towards you can appear to be a large and dangerous obstacle, but you would definitely not want to slam on the brakes to avoid it."
It's not about the inability to detect. Cameras, Radars can detect objects, including stationary objects fine.
The issue here is how can humans write an algorithm to make those camera pictures, those radar signals applicable in the car's industry.