A reflection-exploiting visual method enables onboard relative localization for heterogeneous UAV teams without prior size or marker knowledge, achieving over 30 m range with robustness to irregular surfaces.
Apriltag: A robust and flexible visual fiducial system,
3 Pith papers cite this work. Polarity classification is still indexing.
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A distilled student policy using monocular depth estimation from cameras outperforms a 2D LiDAR teacher policy in navigating complex 3D obstacles while running fully onboard a Jetson Orin.
A custom low-cost autonomous UAV uses onboard video and vision tracking to measure natural frequencies of a lab frame and detect simulated damage via frequency shifts, with errors up to 5.7% compared to accelerometers.
citing papers explorer
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Reflection-Based Relative Localization for Cooperative UAV Teams Using Active Markers
A reflection-exploiting visual method enables onboard relative localization for heterogeneous UAV teams without prior size or marker knowledge, achieving over 30 m range with robustness to irregular surfaces.
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Learning Vision-Based Omnidirectional Navigation: A Teacher-Student Approach Using Monocular Depth Estimation
A distilled student policy using monocular depth estimation from cameras outperforms a 2D LiDAR teacher policy in navigating complex 3D obstacles while running fully onboard a Jetson Orin.
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Non-Contact Vibration-Based Damage Detection of Civil Structures Using a Cost-Effective Autonomous UAV
A custom low-cost autonomous UAV uses onboard video and vision tracking to measure natural frequencies of a lab frame and detect simulated damage via frequency shifts, with errors up to 5.7% compared to accelerometers.