We demonstrate the usage of the system with the MH_05_difficult
sequence of the EuRoC dataset as an example.
Note: The path to calibration and configuration files used here works for the APT installation. If you compile from source specify the appropriate path to the files in data folder.
Download the sequence from the dataset and extract it.
mkdir euroc_data
cd euroc_data
wget http://robotics.ethz.ch/~asl-datasets/ijrr_euroc_mav_dataset/machine_hall/MH_05_difficult/MH_05_difficult.zip
mkdir MH_05_difficult
cd MH_05_difficult
unzip ../MH_05_difficult.zip
cd ../
To run the visual-inertial odometry execute the following command in euroc_data
folder where you downloaded the dataset.
basalt_vio --dataset-path MH_05_difficult/ --cam-calib /usr/etc/basalt/euroc_ds_calib.json --dataset-type euroc --config-path /usr/etc/basalt/euroc_config.json --marg-data euroc_marg_data --show-gui 1
The command line options have the following meaning:
--dataset-path
path to the dataset.--dataset-type
type of the datset. Currently onlybag
andeuroc
formats of the datasets are supported.--cam-calib
path to camera calibration file. Check calibration instructions to see how the calibration was generated.--config-path
path to the configuration file.--marg-data
folder where the data from keyframe marginalization will be stored. This data can be later used for visual-inertial mapping.--show-gui
enables or disables GUI.
This opens the GUI and runs the sequence. The processing happens in the background as fast as possible, and the visualization results are saved in the GUI and can be analysed offline.
The buttons in the GUI have the following meaning:
show_obs
toggles the visibility of the tracked landmarks in the image view.show_ids
toggles the IDs of the points.show_est_pos
shows the plot of the estimated position.show_est_vel
shows the plot of the estimated velocity.show_est_bg
shows the plot of the estimated gyro bias.show_est_ba
shows the plot of the estimated accel bias.show_gt
shows ground-truth trajectory in the 3D view.
By default the system starts with continue_fast
enabled. This option visualizes the latest processed frame until the end of the sequence. Alternatively, the continue
visualizes every frame without skipping. If both options are disabled the system shows the frame that is selected with the show_frame
slider and the user can move forward and backward with next_step
and prev_step
buttons. The follow
button changes between the static camera and the camera attached to the current frame.
For evaluation the button align_se3
is used. It aligns the GT trajectory with the current estimate using an SE(3) transformation and prints the transformation and the root-mean-squared absolute trajectory error (RMS ATE).
The button save_traj
saves the trajectory in one of two formats (euroc_fmt
or tum_rgbd_fmt
). In EuRoC format each pose is a line in the file and has the following format timestamp[ns],tx,ty,tz,qw,qx,qy,qz
. TUM RBG-D can be used with TUM RGB-D or UZH trajectory evaluation tools and has the following format timestamp[s] tx ty tz qx qy qz qw
.
To run the mapping tool execute the following command:
basalt_mapper --cam-calib /usr/etc/basalt/euroc_ds_calib.json --marg-data euroc_marg_data
Here --marg-data
is the folder with the results from VIO.
This opens the GUI and extracts non-linear factors from the marginalization data.
The buttons in the GUI have the following meaning:
show_frame1
,show_cam1
,show_frame2
,show_cam2
allows you to assign images to image view 1 and 2 from different timestamps and cameras.show_detected
shows the detected keypoints in the image view window.show_matches
shows feature matching results.show_inliers
shows inlier matches after geometric verification.show_ids
prints point IDs. Can be used to find the same point in two views to check matches and inliers.show_gt
shows the ground-truth trajectory.show_edges
shows the edges from the factors. Relative-pose factors in red, roll-pitch factors in magenta and bundle adjustment co-visibility edges in green.show_points
shows 3D landmarks.
The workflow for the mapping is the following:
detect
detect the keypoints in the keyframe images.match
run the geometric 2D to 2D matching between image frames.tracks
build tracks from 2D matches and triangulate the points.optimize
run the optimization.align_se3
align ground-truth trajectory in SE(3) and print the transformation and the error.
The num_opt_iter
slider controls the maximum number of iterations executed when pressing optimize
.
The button save_traj
works similar to the VIO, but saves the keyframe trajectory (subset of frames).
For more systematic evaluation see the evaluation scripts in the scripts/eval_full folder.
NOTE: It appears that only the datasets in ASL Dataset Format (euroc
dataset type in our notation) contain ground truth that is time-aligned to the IMU and camera images. It is located in the state_groundtruth_estimate0
folder. Bag files have raw Mocap measurements that are not time aligned and should not be used for evaluations.
The visual-inertial odometry relies on the optical flow results. To enable a better analysis of the system we also provide a separate optical flow executable
basalt_opt_flow --dataset-path MH_05_difficult/ --cam-calib /usr/etc/basalt/euroc_ds_calib.json --dataset-type euroc --config-path /usr/etc/basalt/euroc_config.json --show-gui 1
This will run the GUI and print an average track length after the dataset is processed.
We demonstrate the usage of the system with the magistrale1
sequence of the TUM-VI dataset as an example.
Download the sequence from the dataset and extract it.
mkdir tumvi_data
cd tumvi_data
wget http://vision.in.tum.de/tumvi/exported/euroc/512_16/dataset-magistrale1_512_16.tar
tar -xvf dataset-magistrale1_512_16.tar
To run the visual-inertial odometry execute the following command in tumvi_data
folder where you downloaded the dataset.
basalt_vio --dataset-path dataset-magistrale1_512_16/ --cam-calib /usr/etc/basalt/tumvi_512_ds_calib.json --dataset-type euroc --config-path /usr/etc/basalt/tumvi_512_config.json --marg-data tumvi_marg_data --show-gui 1
To run the mapping tool execute the following command:
basalt_mapper --cam-calib /usr/etc/basalt/tumvi_512_ds_calib.json --marg-data tumvi_marg_data