kunlqt / plvs

PLVS is a real-time system which leverages sparse SLAM, volumetric mapping and 3D unsupervised incremental segmentation.

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PLVS II

Author: Luigi Freda

PLVS is a real-time system that leverages sparse SLAM, volumetric mapping, and 3D unsupervised incremental segmentation. PLVS stands for Points, Lines, Volumetric mapping, and Segmentation.

PLVS lab PLVS details PLVS augmented reality PLVS details

PLVS is available in two different versions.

  • PLVS I: hosted in the branch plvs1. It is based on ORB-SLAM2, and supports mono, stereo, and RGB-D cameras.
  • PLVS II: hosted in the master branch. It is based on ORB-SLAM3, and also supports camera systems provided with IMUs.

Here you can find a list of the new features provided by PLVS. You can find further information and videos on this page and in the following document:

PLVS: A SLAM System with Points, Lines, Volumetric Mapping, and 3D Incremental Segmentation 
Luigi Freda

Note: PLVS is an active project. This README is under construction and will be updated soon with further information and details.

Quick start

  • Install basic dependencies:
    $ ./install_dependencies.sh
  • Install opencv in a local folder:
    $ ./install_local_opencv.sh
    (if you want, skip this step and set the variable OpenCV_DIR in config.sh with your local OpenCV path)
  • Build the framework:
    $ ./build.sh

Running the examples

Once everything is built, you can enter in the Scripts folder and test the different examples. For instance you can configure and run:

  • $ ./run_tum_rgbd.sh for TUM RGB-D datasets
  • $ ./run_kitti_stereo.sh for KITTI datasets
  • $ ./run_euroc_stereo_inertial.sh for Euroc datasets, stereo + inertial
  • $ ./run_euroc_stereo.sh for Euroc datasets, only stereo
  • $ ./run_tum_vi_stereo.sh for TUM VI datasets, only stereo
  • $ ./run_tum_vi_stereo_inertial.sh for TUM VI datasets, stereo + inertial

In each of the above scripts, you have to configure the DATASET_BASE_FOLDER, the specific DATASET of interest, and the used YAML configuration file. In particular, each configuration file shows different sections with commented options.

Note: PLVS is an active project. This README is under construction and will be updated soon with further information and details.

Credits

  • The PLVS I and PLVS II frameworks are based on ORB-SLAM2 and ORB-SLAM3 respectively. Many thanks to their Authors for their great work and contributions to the open-source community.

About

PLVS is a real-time system which leverages sparse SLAM, volumetric mapping and 3D unsupervised incremental segmentation.


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