The problem with radar on the ground is that most of what comes to a radar detector is reflections from a stationary world, with relative delays so small as to be undetectable. So the first step in processing is to filter out everything at the speed of that motionary world. All fixed objects therefore disappear, and you are left sorting out moving objects. Which means you now can't detect stationary objects at all.
Tesla has a different problem. They probably don't have depth perception. They therefore have to classify objects, and make educated guesses about where they are relative to the car. Unexpected kinds of objects, or objects in unexpected configurations, fail to be classified and therefore fail to be analyzed.
In principle, Tesla can succeed. After all we don't have binocular vision past 6 meters either. Tesla is improving.
The problem with radar on the ground is that most of what comes to a radar detector is reflections from a stationary world, with relative delays so small as to be undetectable. So the first step in processing is to filter out everything at the speed of that motionary world. All fixed objects therefore disappear, and you are left sorting out moving objects. Which means you now can't detect stationary objects at all.
Tesla has a different problem. They probably don't have depth perception. They therefore have to classify objects, and make educated guesses about where they are relative to the car. Unexpected kinds of objects, or objects in unexpected configurations, fail to be classified and therefore fail to be analyzed.
In principle, Tesla can succeed. After all we don't have binocular vision past 6 meters either. Tesla is improving.
But they haven't yet.