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trajectories.md

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Trajectories

The four outdoor trajectories can be visualized on the interactive map below. Outdoor trajectories. Urban01 in red, Urban02 in blue, Urban03 in cyan, and Urban04 in yellow.

The indoor trajectories are presented below. Segments are colored according to their height, with the yellow portion recorded outside the garage and the red portion recorded inside. The garage ceiling is rendered transparent to enhance visualization.

Indoor trajectories

We summarize the metadata of the trajectories in the table below. The outdoor trajectories were repeated at night to provide data for computer vision practitioners interested in exploring the challenges of vehicle navigation using cameras in low-light conditions.

Trajectory Length (km) Duration (min) Avg. Speed (km/h) Max. Speed (km/h)
Urban01 8.70 36.63 14.24 42.15
Urban02 6.78 23.58 17.26 40.49
Urban03 5.21 21.53 12.12 43.05
Urban04 4.87 17.75 16.46 44.57
Indoor01 1.25 7.03 10.63 23.52
Indoor02 0.97 5.86 9.93 22.13
Indoor03 1.27 8.43 9.00 22.20

Folder Structure:

Folder structure
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      The dataset is organized as shown in this figure. Each trajectory is stored in a folder containing its repetitions, which are separated into subfolders named with their respective initial timestamps. Inside these subfolders, one can find various BAG files named according to their contents. For example, all camera-related data is stored in the <code>cameras.bag</code> file.
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    <p>
      We structured the BAG files this way to facilitate their use; users can download only the BAG files of interest and play them together using the command <code>rosbag play *</code>, assuming all BAG files are stored in the same directory. In addition to the trajectory folders, the user can find the <i>IndoorMap</i> folder, which contains the PCD file of the indoor map, and the <i>CalibrationData</i> folder, which contains the calibration files and MATLAB projects of the tools discussed in section <i>Calibration</i> of the paper, the BAG file recorded for calibration, the ROS launch file to launch the transformation tree and the transformations considering KVH1750 as the origin (see file <code>setup_transformation.txt</code>).
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    <p style="background-color: #f0f8ff; padding: 15px; font-size: 1.2em; border: 2px solid #007acc; border-radius: 8px; text-align: center;">
        Click <a href="https://www.dropbox.com/scl/fo/x2fvendipgpb1o2sqbxwa/AHnlSkTvJ7B_f5_r8KW9kBE?rlkey=xdq2y4ajdvy5vd9d28sfn80t6&st=rt459loa&dl=0" target="_blank" style="font-weight: bold; color: #007acc;">here</a> to access the dataset.
    </p>

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