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Repository that holds experimental code for controlling an autonomous vehicle: from planning to control

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Autonomous Vehicle

This repo stores my exploration of vehicle dynamics, control, and planning. It roughly follows along with the concepts presented in A survey of motion planning and control techniques for self-driving urban vehicles that was published by Brian Paden, et. al.

Installation

At this time, the repo codebase uses Python and Jupyter notebook for coding visualization. To run its contents, perform the following steps:

  1. Install Python 3 and the virtualenv package (if you do not already have them)
  2. Clone this repo
  3. Within the repo root, run virtualenv . -p python3
  4. source bin/activate
  5. pip install -r requirements.txt

You should now have everything you need to run this code.

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