Does it not detect them at all, or fail to deal with detected sensor degradation adequately? Does "Full Self Driving (assisted)" slow down under conditions of poor visibility?

Does Tesla even look for the road surface? One big advantage of those up-top LIDAR units is that you have a good scan of the pavement ahead. If you're not sensing flat pavement ahead, don't go there. That's basic. Vision-only systems, going back to Mobileye, have been overly dependent on looking for known kinds of obstacles. Original Mobileye could only detect car rear ends.

It is a shameful engineering design to leave out LIDAR and it has cost human lives.

Let's hope Musk does not leave out something important for the moon landing. His proposal for it is absolutely ridiculous, it looks like a children's book fantasy and many smaller top-heavy craft have already toppled on the moon!

Overall, yikes.

Oh good, Tesla vehicles apparently struggle with the task of "Hey, there's a car there" in degraded conditions.

Probably don't need to worry about that while driving though.

>Tesla also described internal data and labeling limitations that prevented a uniform identification and analysis of crash events with the subject system engaged. ODI believes this limitation could have led to under-reporting of subject crashes over portions of the defined time-period.

I thought Tesla was a "Software" company!

This report is insanely vague though. It's very preliminary, opened yesterday.