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Skidpad Planner

The current skidpad planner is using python with the aid of the following libraries:

  • numpy
  • matplotlib
Rotated Skidpad Random Starting Position

Next steps:

  • Convert python code to C++
  • Create a node to test new algorithm with real data

New node to test the algorithm with real time data will follow the architecture:

Install Compiler Steps:

  1. Install C/C++ extension for VS code: ms-vscode.cpptools
  2. Install the latest installer from the MSYS2 page link here.
  3. After install, run this command to install MinGW-w64 toolchain: pacman -S --needed base-devel mingw-w64-ucrt-x86_64-toolchain
    1. Press Enter to proceed
    2. Press y to proceed
  4. Edit environment variable to point to compiller
  5. C/C++ Sleect IntelliSense Configuration and then select Use gcc.exe

And these are the steps to setup your C++ compiller in VScode.

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Repository for the standalone skidpad planner algorithm and respective development materials

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