A survey of on-device learning in TinyML organized by distribution change regimes, highlighting influences on applications, hardware, and solutions plus a gap between benchmarks and deployments.
An Online Initialization and Self-Calibration Method for Stereo Visual-Inertial Odometry,
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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Targetless extrinsic calibration of IMU and RGB-D sensors on UAVs via deep-learning floor segmentation and gravity alignment.
citing papers explorer
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Ground Plane-Aided Extrinsic Calibration of Inertial and RGB-D Sensors for Uncrewed Aerial Vehicles
Targetless extrinsic calibration of IMU and RGB-D sensors on UAVs via deep-learning floor segmentation and gravity alignment.