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Student:
Carlos Tojal1,2

Advisors:
Luís Conde Bento1,2

1 Polytechnic of Leiria, Leiria, Portugal;
2 Institute of Systems and Robotics, Coimbra, Portugal

CUPREDS – CUDA-Accelerated, Multi-threaded Point Cloud Registration from Heterogeneous Sensors with Efficient Data Structures

The is the core library of CUPREDS. There is a ROS wrapper implemented.

This library implements all the core functionality, in case one wants to link it against another wrapper.

Requirements

  • C++20 compiler.
  • CUDA Toolkit (75 architecture).
  • Point Cloud Library (PCL).
  • OpenCV
  • Eigen 3
  • Doxygen

Compiling and installing

  • In this directory:
    • mkdir cmake-build-debug
    • cd cmake-build-debug
  • Run cmake ... This will generate the Makefiles from the CMakeLists.
  • Run sudo make install. This will build the library and install it in your system.

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