KCP
An efficient and effective 3D laser scan matching
Installation

The project is originally developed in Ubuntu 18.04, and the following instruction supposes that you are using Ubuntu 18.04 as well. I am not sure if it also works with other Ubuntu versions of other Linux distributions, but maybe you can give it a try :+1:

Also, please feel free to open an issue if you encounter any problems of the following instruction.

Step 1. Preparing the Dependencies

You have to prepare the following packages or libraries used in KCP:

  1. A C++ compiler supporting C++14 and OpenMP (e.g. GCC 7.5).
  2. CMake3.11
  3. Git
  4. Eigen3 ≥ 3.3
  5. nanoflann
  6. TEASER++d79d0c67

GCC, CMake, Git, and Eigen3

sudo apt update
sudo apt install -y g++ build-essential libeigen3-dev git software-properties-common lsb-release
# If you want to obtain newer version of cmake, run the following commands: (Ref: https://apt.kitware.com/)
# wget -O - https://apt.kitware.com/keys/kitware-archive-latest.asc 2>/dev/null | gpg --dearmor - | sudo tee /usr/share/keyrings/kitware-archive-keyring.gpg >/dev/null
# echo "deb [signed-by=/usr/share/keyrings/kitware-archive-keyring.gpg] https://apt.kitware.com/ubuntu/ $(lsb_release -sc) main" | sudo tee /etc/apt/sources.list.d/kitware.list >/dev/null
# sudo apt update
sudo apt install cmake

nanoflann

cd ~
git clone https://github.com/jlblancoc/nanoflann
cd nanoflann
mkdir build && cd build
cmake .. -DNANOFLANN_BUILD_EXAMPLES=OFF -DNANOFLANN_BUILD_TESTS=OFF
make
sudo make install

TEASER++

cd ~
git clone https://github.com/MIT-SPARK/TEASER-plusplus
cd TEASER-plusplus
git checkout d79d0c67
mkdir build && cd build
cmake .. -DBUILD_TESTS=OFF -DBUILD_PYTHON_BINDINGS=OFF -DBUILD_DOC=OFF
make
sudo make install

Step 2. Preparing Dependencies of Python Binding (Optional)

The Python binding of KCP (pykcp) uses pybind11 to achieve operability between C++ and Python. KCP will automatically download and compile pybind11 during the compilation stage. However, you need to prepare a runable Python environment with header files for the Python C API (python3-dev):

sudo apt install -y python3 python3-dev

Step 3. Building KCP

Execute the following commands to build KCP:

Without Python Binding

git clone https://github.com/StephLin/KCP
cd KCP
mkdir build && cd build
cmake ..
make

With Python Binding

git clone https://github.com/StephLin/KCP
cd KCP
mkdir build && cd build
cmake .. -DKCP_BUILD_PYTHON_BINDING=ON -DPYTHON_EXECUTABLE=$(which python3)
make

Step 4. Installing KCP to the System (Optional)

This will make the KCP library available in the system, and any C++ (CMake) project can find the package by find_package(KCP). Think twice before you enter the following command!

# Under /path/to/KCP/build
sudo make install