One of the arguments made in this talk is which sensor to trust when there is a disagreement. I'd love to see the scenarios where this happens with three types of sensors and the logic they use to choose the "right" one.
You can't avoid this problem by only having a single sensor modality, because you still have to decide if you trust your sensor data or not. In effect, you actually made the problem harder because you have no other information from any other sensor modalities to help understand the world around you.
In effect, they solved the disagreement problem by sticking their head in the sand and pretending their sensors are never wrong.
You’re intent on oversimplifying the issue to support your view, but this comment makes no sense. Of course you can avoid sensor fusion issues by not doing sensor fusion. Regardless of how many sources you have, you still have to decide if you trust the data, having less sensors doesn’t change that. And having more sensors means you have to decide which input to trust.
That's a problem for deciding which system drives the thing (eg. do you use cameras for detecting oncoming cars and objects or lidar/radar), but if there are major disagreements between them it would make most sense to disengage the autonomous part and ask the human driver to take over, much like current TSLA cars do. Obviously not possible if you want level 4 self driving, but it can be good enough for level 3.
In effect, they solved the disagreement problem by sticking their head in the sand and pretending their sensors are never wrong.