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promit7473/Introduction-to-Self-Driving-Cars

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Chapters

The Course contents are segregated into the following.

  1. Orientation
  2. [Bayesian Thinking]
  3. [Working With Matrices]
  4. [C++ Basics]
  5. [Performance Programming in C++]
  6. [Navigating Data Structure]
  7. [Vehicle Motion and Control]
  8. [Computer Vision And Machine Learning]

Project

  1. [Implement a Matrix Class] Project Link
  2. [Translate Python to C++]
  3. [Optimize Histogram Filter]
  4. [Implement Route Planner]
  5. [Reconstructing Trajectories from Sensor Data]
  6. [Traffic Light Classifier]

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