Thanks for the explanation. I hadn't heard of frequency binning(1) before. It makes sense that stationary objects would be filtered out before they even reach the signal processing software.
But Uber did seem to be relying more heavily on radar than the other sensors. From an article I linked in another comment "the number of LIDAR sensors were reduced from five to just one – mounted on the roof – and in their place, the number of radar sensors was increased from seven to 10. Uber also reduced the number of cameras on the car from 20 to seven." And for LIDAR this "results in a blind spot low to the ground all around the car."
They had to know radar wouldn't detect stationary objects. So the signal processor should be prioritizing camera and LIDAR reports of anything stationary in the road. If it really was programmed to ignore such a signal it seems like gross malfeasance to me. If not, then the speculation in the linked article is incorrect and it's the same problem Tesla's system has.
But Uber did seem to be relying more heavily on radar than the other sensors. From an article I linked in another comment "the number of LIDAR sensors were reduced from five to just one – mounted on the roof – and in their place, the number of radar sensors was increased from seven to 10. Uber also reduced the number of cameras on the car from 20 to seven." And for LIDAR this "results in a blind spot low to the ground all around the car."
They had to know radar wouldn't detect stationary objects. So the signal processor should be prioritizing camera and LIDAR reports of anything stationary in the road. If it really was programmed to ignore such a signal it seems like gross malfeasance to me. If not, then the speculation in the linked article is incorrect and it's the same problem Tesla's system has.
1. https://www.eetimes.com/document.asp?doc_id=1278779