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e79ddcd815 Update 'README.md' 2022-09-04 00:12:32 +03:00
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b7ad6277ed fixed eigen cmake error` 2022-09-03 22:20:51 +03:00
e603cecfa5 Update 'README.md' 2022-09-02 00:37:31 +03:00
26120d7915 Update 'README.md' 2022-08-31 23:51:44 +03:00
Ivan
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Ivan
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Ivan
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4 changed files with 48 additions and 96 deletions

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@@ -324,6 +324,8 @@ add_executable(basalt_calibrate src/calibrate.cpp src/calibration/cam_calib.cpp)
target_link_libraries(basalt_calibrate basalt pangolin basalt::cli11)
add_executable(euler2RotTest test/ivan-tests/euler2RotTest.cpp)
target_link_directories(euler2RotTest PUBLIC ${EIGEN3_INCLUDE_DIR})
target_link_libraries(euler2RotTest basalt pangolin basalt::cli11)
add_executable(basalt_calibrate_imu src/calibrate_imu.cpp src/calibration/cam_imu_calib.cpp)
target_link_libraries(basalt_calibrate_imu basalt pangolin basalt::cli11)

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@@ -1,75 +1,16 @@
[![pipeline status](https://gitlab.com/VladyslavUsenko/basalt/badges/master/pipeline.svg)](https://gitlab.com/VladyslavUsenko/basalt/commits/master)
## Basalt
For more information see https://vision.in.tum.de/research/vslam/basalt
![teaser](doc/img/teaser.png)
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 available as a separate [header-only library](https://gitlab.com/VladyslavUsenko/basalt-headers) ([Documentation](https://vladyslavusenko.gitlab.io/basalt-headers/)).
There is also a [Github mirror](https://github.com/VladyslavUsenko/basalt-mirror) of this project to enable easy forking.
## 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 IEEE Robotics and Automation Letters (RA-L) [[DOI:10.1109/LRA.2019.2961227]](https://doi.org/10.1109/LRA.2019.2961227) [[arXiv:1904.06504]](https://arxiv.org/abs/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]](https://doi.org/10.1109/3DV.2018.00069), [[arXiv:1807.08957]](https://arxiv.org/abs/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]](https://doi.org/10.1109/IROS.2018.8593419), [[arXiv:1804.06120]](https://arxiv.org/abs/1804.06120).
Calibration (describes B-spline trajectory representation used in camera-IMU calibration):
* **Efficient Derivative Computation for Cumulative B-Splines on Lie Groups**, C. Sommer, V. Usenko, D. Schubert, N. Demmel, D. Cremers, In 2020 Conference on Computer Vision and Pattern Recognition (CVPR), [[DOI:10.1109/CVPR42600.2020.01116]](https://doi.org/10.1109/CVPR42600.2020.01116), [[arXiv:1911.08860]](https://arxiv.org/abs/1911.08860).
Optimization (describes square-root optimization and marginalization used in VIO/VO):
* **Square Root Marginalization for Sliding-Window Bundle Adjustment**, N. Demmel, D. Schubert, C. Sommer, D. Cremers, V. Usenko, In 2021 International Conference on Computer Vision (ICCV), [[arXiv:2109.02182]](https://arxiv.org/abs/2109.02182)
# AR Basalt
Link to the original repository: https://gitlab.com/VladyslavUsenko/basalt
## Main features
The main feature is that it shows the AR cubes in the Pangolin visualization window.
## Installation
### APT installation for Ubuntu 20.04 and 18.04 (Fast)
Set up keys, add the repository to the sources list, update the Ubuntu package index and install Basalt:
```
sudo apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys 0AD9A3000D97B6C9
sudo sh -c 'echo "deb [arch=amd64] http://packages.usenko.eu/ubuntu $(lsb_release -sc) $(lsb_release -sc)/main" > /etc/apt/sources.list.d/basalt.list'
sudo apt-get update
sudo apt-get dist-upgrade
sudo apt-get install basalt
```
Please refer to the original repository for the installation and running instructions: https://gitlab.com/VladyslavUsenko/basalt
### Source installation for Ubuntu >= 18.04 and MacOS >= 10.14 Mojave
Clone the source code for the project and build it. For MacOS you should have [Homebrew](https://brew.sh/) installed.
### Building
```
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
cmake ..
make
```
## Usage
* [Camera, IMU and Mocap calibration. (TUM-VI, Euroc, UZH-FPV and Kalibr datasets)](doc/Calibration.md)
* [Visual-inertial odometry and mapping. (TUM-VI and Euroc datasets)](doc/VioMapping.md)
* [Visual odometry (no IMU). (KITTI dataset)](doc/Vo.md)
* [Simulation tools to test different components of the system.](doc/Simulation.md)
* [Batch evaluation tutorial (ICCV'21 experiments)](doc/BatchEvaluation.md)
## Device support
* [Tutorial on Camera-IMU and Motion capture calibration with Realsense T265.](doc/Realsense.md)
## Development
* [Development environment setup.](doc/DevSetup.md)
## 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.
Some improvements are ported back from the fork
[granite](https://github.com/DLR-RM/granite) (MIT license).

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@@ -832,6 +832,7 @@ int main(int argc, char** argv) {
// Appended.
glClear(GL_COLOR_BUFFER_BIT | GL_DEPTH_BUFFER_BIT);
ar_view.Activate(ar_3d_camera);
// ar_view.Activate();
glColor3f(1.0, 1.0, 1.0);
// Get the last image pose. (probably, it's T_w_i
@@ -845,6 +846,7 @@ int main(int argc, char** argv) {
T_w_i = it_ar->second->frames.back();
}
auto T_i_c = calib.T_i_c[0];
// Draw OpenCV cube
if (IfDrawOpenCVCube){
DrawOpenCVCube(img_cv_data[2], (T_w_i * T_i_c), K, distCoeffs);
@@ -854,6 +856,11 @@ int main(int argc, char** argv) {
DrawImageTexture(imageTexture, img_cv_data[2]);
}
// Clear the buffer before drawing. Probably, the cause is in the DrawImageTexture.
// It kind of overrides the view, and doesn't let to draw the cubes. Probably,
// DrawImageTexture takes also the depth buffer when uploading, so we need clean it.
glClear(GL_DEPTH_BUFFER_BIT);
// TODO: Can I define it outside of the loop? There's no need I guess to
// redefine the the projection matrix every time
glMatrixMode(GL_PROJECTION);
@@ -862,6 +869,9 @@ int main(int argc, char** argv) {
// drawLinesCube pushes the matrices, therefore, I need to define in which
// stack to push that matrices.
glMatrixMode(GL_MODELVIEW);
// ar_3d_camera.Follow((T_w_i * T_i_c).matrix());
glPushMatrix();
if (zeroOut){
xSkew = 0;
ySkew = 0;
@@ -882,9 +892,7 @@ int main(int argc, char** argv) {
if (showCube6) {drawLinesCube(32.8, 4.8, -324.5, cubeSize);}
if (showCube7) {drawLinesCube(32.5, 4.8, -345.7, cubeSize);}
ar_3d_camera.Follow((T_w_i * T_i_c).matrix());
// glClear(GL_DEPTH_BUFFER_BIT);
glPopMatrix();
// Ok, so here by the moment we are watching from the camera position and orientation.
// Drawing the cube from here might result in drawing the cube in the camera coordinate system.
// Although! We want to draw the cube from the world coordinate system, therefore
@@ -986,8 +994,6 @@ int main(int argc, char** argv) {
// record = false;
// }
pangolin::FinishFrame();
if (continue_btn) {
if (!next_step())
std::this_thread::sleep_for(std::chrono::milliseconds(50));
@@ -1006,6 +1012,7 @@ int main(int argc, char** argv) {
continue_fast = false;
}
}
pangolin::FinishFrame();
}
// If GUI closed but VIO not yet finished --> abort input queues, which in
@@ -1272,6 +1279,7 @@ void draw_scene(pangolin::View& view) {
void draw_scene_no_camera(pangolin::View& view) {
UNUSED(view);
view.Activate(ar_3d_camera);
// view.Activate();
// auto T_w_i = vio_T_w_i[show_frame];
// auto T_i_c = calib.T_i_c[0];
@@ -1306,6 +1314,7 @@ void draw_scene_no_camera(pangolin::View& view) {
// }
// }
// For the 1st sequence mono-kitti
// drawLinesCube(0.0, 1.0, -95.0, cubeSize);
// drawLinesCube(0.0, 0.5, -35.0, cubeSize);
@@ -1330,24 +1339,24 @@ void draw_scene_no_camera(pangolin::View& view) {
// LoadCameraPose((T_w_i * T_i_c).matrix());
glClearColor(1.0f, 1.0f, 1.0f, 1.0f);
glPointSize(3);
glColor3f(1.0, 0.0, 0.0);
glEnable(GL_BLEND);
glBlendFunc(GL_SRC_ALPHA, GL_ONE_MINUS_SRC_ALPHA);
glColor3ubv(cam_color);
if (!vio_t_w_i.empty()) {
size_t end = std::min(vio_t_w_i.size(), size_t(show_frame + 1));
Eigen::aligned_vector<Eigen::Vector3d> sub_gt(vio_t_w_i.begin(),
vio_t_w_i.begin() + end);
pangolin::glDrawLineStrip(sub_gt);
}
glColor3ubv(gt_color);
if (show_gt) pangolin::glDrawLineStrip(gt_t_w_i);
// glClearColor(1.0f, 1.0f, 1.0f, 1.0f);
//
// glPointSize(3);
// glColor3f(1.0, 0.0, 0.0);
// glEnable(GL_BLEND);
// glBlendFunc(GL_SRC_ALPHA, GL_ONE_MINUS_SRC_ALPHA);
//
// glColor3ubv(cam_color);
//
// if (!vio_t_w_i.empty()) {
// size_t end = std::min(vio_t_w_i.size(), size_t(show_frame + 1));
// Eigen::aligned_vector<Eigen::Vector3d> sub_gt(vio_t_w_i.begin(),
// vio_t_w_i.begin() + end);
// pangolin::glDrawLineStrip(sub_gt);
// }
//
// glColor3ubv(gt_color);
// if (show_gt) pangolin::glDrawLineStrip(gt_t_w_i);
// size_t frame_id = show_frame;
// int64_t t_ns = vio_dataset->get_image_timestamps()[frame_id];
@@ -1375,7 +1384,7 @@ void draw_scene_no_camera(pangolin::View& view) {
// glColor3ubv(pose_color);
// pangolin::glDrawPoints(it->second->points);
// }
pangolin::glDrawAxis(Sophus::SE3d().matrix(), 1.0);
// pangolin::glDrawAxis(Sophus::SE3d().matrix(), 1.0);
}
void load_data(const std::string& calib_path) {

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@@ -1,5 +1,5 @@
get_property(EIGEN_TESTS_LIST GLOBAL PROPERTY EIGEN_TESTS_LIST)
configure_file(buildtests.in ${CMAKE_BINARY_DIR}/buildtests.sh @ONLY)
#configure_file(buildtests.in ${CMAKE_BINARY_DIR}/buildtests.sh @ONLY)
configure_file(check.in ${CMAKE_BINARY_DIR}/check.sh COPYONLY)
configure_file(debug.in ${CMAKE_BINARY_DIR}/debug.sh COPYONLY)