I'm not sure what the limitations of radar are, but doesn't seem like it was being used in this crash considering the Tesla car just drove right into the truck.
See specifically at 2:20:22 [2]:
> We use that radar to annotate what the vision is seeing, the bounding boxes that come out of the neural networks, so instead of human annotators telling you that this car, in this bounding box, is roughly 25 meters away, you can annotate that data much better using sensors.
I take that to mean that the radar is used as part of supervised learning for updating the model offline, whereas just the cameras are used as input to the model.