https://www.youtube.com/watch?v=hx7BXih7zx8

with the video above please help me answer these questions...i am lost....

1) When Andrej talks about utilizing LIDAR sensors and pre-generated HD maps, what does he mean? How is Tesla's approach different?

2)Andrej uses the "stop sign" as an example of corner cases that a self-driving car has to account for. Summarize this problem.

3)How does Tesla train the car to detect these corner cases (like the occluded stop sign)? I'm looking for a few sentences explaining the process, including building the training set.

4)Tesla has a very small team (a few dozen) working on this self-driving technology. Explain how this is possible.

5)What does Andrej mean when he refers to Software 1.0 and Software 2.0 code?

6)Andrej talks about how (currently) many of the decisions made by the car are done by "explicit predictors" and how they eventually want the car to perform self-supervised learning. Describe what this is in your own words, as if you were trying to explain this to someone non-technical.