This is a research paper to study how machine learning is applied in Tesla major features: autopilot and smart summon. You may refer to this video:
FYI, here’s an article summarising the seminar:
We need to study the principles of machine learning, and how it is applied into the two features. Explanation and elaboration on the principles with graphs and picture illustration is required. Please note that we only have basic electronic engineering knowledge, we don’t need to completely break down and explain everything. We should focus on how Tesla make their product successful, and the knowledge of machine learning they applied. This is like a case study, but it needs to demonstrate our effort in the research of machine learning.
Explanation on principles do not require citation, but it requires citation if it involves with specific information, studies or calculations.
I have listed below sections for the paper:
Please let me know if there’s any other section you think is important or valuable to the paper.
I need to submit a draft in 24 hours, and a final paper in 3 days. The final paper has to be 10 pages long.