Basalt

For more information see https://vision.in.tum.de/research/vslam/basalt

This project contains tools for:

• Camera, IMU and motion capture calibration.
• Visual-inertial odometry and mapping.
• Simulated environment to test different components of the system.

Some reusable components of the system are availble as a separate header-only library (Documentation).

Related Publications

Visual-Inertial Odometry and Mapping:

• Visual-Inertial Mapping with Non-Linear Factor Recovery, V. Usenko, N. Demmel, D. Schubert, J. Stückler, D. Cremers, In [arXiv:1904.06504].

Calibration (explains implemented camera models):

• The Double Sphere Camera Model, V. Usenko and N. Demmel and D. Cremers, In 2018 International Conference on 3D Vision (3DV), [DOI:10.1109/3DV.2018.00069], [arXiv:1807.08957].

Calibration (demonstrates how these tools can be used for dataset calibration):

• The TUM VI Benchmark for Evaluating Visual-Inertial Odometry, D. Schubert, T. Goll, N. Demmel, V. Usenko, J. Stückler, D. Cremers, In 2018 International Conference on Intelligent Robots and Systems (IROS), [DOI:10.1109/IROS.2018.8593419], [arXiv:1804.06120].

Installation

APT installation for Ubuntu 16.04 and 18.04 (Fast)

Set up keys

sudo apt-key adv --keyserver keyserver.ubuntu.com --recv-keys 0D97B6C9

Add the repository to the sources list. On Ubuntu 18.04 run:

sudo sh -c 'echo "deb [arch=amd64] http://packages.usenko.eu/ubuntu bionic main" > /etc/apt/sources.list.d/basalt.list'

On Ubuntu 16.04 run:

sudo sh -c 'echo "deb [arch=amd64] http://packages.usenko.eu/ubuntu xenial main" > /etc/apt/sources.list.d/basalt.list'

Update the Ubuntu package index and install Basalt:

sudo apt-get update
sudo apt-get install basalt

Source installation for Ubuntu 18.04 and MacOS >= 10.11 El Capitan

Clone the source code for the project and build it. For MacOS you should have Homebrew installed.

git clone --recursive https://gitlab.com/VladyslavUsenko/basalt.git
cd basalt
./scripts/install_deps.sh
mkdir build
cd build
cmake .. -DCMAKE_BUILD_TYPE=RelWithDebInfo
make -j8

NOTE: It is possible to compile the code on Ubuntu 16.04, but you need to install cmake-3.10 or higher and gcc-7. See corresponding Dockerfile as an example.

Usage

• Camera, IMU and Mocap calibration. (TUM-VI, Euroc, UZH-FPV and Kalibr datasets)
• Visual-inertial odometry and mapping. (TUM-VI and Euroc datasets)
• Visual odometry (no IMU). (KITTI dataset)
• Simulation tools to test different components of the system.

Device support

• Tutorial on Camera-IMU and Motion capture calibration with Realsense T265.

Development

• Development environment setup.

Licence

The code is provided under a BSD 3-clause license. See the LICENSE file for details. Note also the different licenses of thirdparty submodules.