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MILUV: A Multi-UAV Indoor Localization dataset with UWB and Vision

dataset
posted on 2025-02-25, 00:22 authored by Mohammed ShalabyMohammed Shalaby, Syed Shabbir Ahmed, Nicholas Dahdah, Charles Cossette, Jerome Le Ny, James R. Forbes

This dataset comprises 217 minutes of flight time over 36 experiments using three quadcopters, collecting ultra-wideband (UWB) ranging data such as the raw timestamps and channel-impulse response data, vision data from a stereo camera and a bottom-facing monocular camera, inertial measurement unit data, height measurements from a laser rangefinder, magnetometer data, and ground-truth poses from a motion-capture system. The UWB data is collected from up to 12 transceivers affixed to mobile robots and static tripods in both line-of-sight and non-line-of-sight conditions. The UAVs flew at a maximum speed of 4.418 m/s in an obstacle-free indoor environment with visual fiducial markers as features.

Funding

Natural Sciences and Engineering Research Council; NSERC Alliance Mission Grant (ALLRP 570553 - 2021)

Canadian Foundation for Innovation; John R. Evans Leaders Fund (38062)

Denso Corporation with NSERC; NSERC Alliance Grant (ALLRP 555601 - 20)

History

Research Institution(s)

McGill University; Polytechnique Montreal

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