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C++ framework for Bayesian Filter Tracking (UKF, EKF, Particles)

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BayesTracking - a library for Bayesian tracking

Requirements

  • Bayes++ (included in the repository)
  • OpenCV 2.x (only to build the examples)

Install (without catkin)

  • Extract the library's compressed file
  • In the library's directory, create a sub-directory build
  • Enter in ./build and run cmake ..
  • Run make to build the library
  • Run make install (as super user) to install the library and relative header files

Install (ROS version)

  • Run rosdep to resolve dependencies
  • Run catkin_make
  • Run catkin_make install to install the library and headers (optional)

by Nicola Bellotto [email protected]

cite with this DOI: 10.5281/zenodo.10318

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C++ framework for Bayesian Filter Tracking (UKF, EKF, Particles)

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  • C++ 98.2%
  • CMake 1.8%