Contrastive Learning of Zero-Velocity Detection for Pedestrian Inertial Navigation
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DOI: 10.1109/jsen.2021.3072160
Abstract: Robust and accurate zero-velocity detection can improve the performance of zero-velocity-aided foot-mounted inertial navigation system. To ensure the accuracy of zero-velocity detection, we propose a novel detector based on contrastive learning. This detector roughly eliminates… read more here.
Keywords: velocity detection; velocity; inertial navigation; contrastive learning ... See more keywords