Dynamic displacement estimation by fusing LDV and LiDAR measurements via smoothing based Kalman filtering
Sign Up to like & getrecommendations! Published in 2017 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2016.05.027
Abstract: Abstract This paper presents a smoothing based Kalman filter to estimate dynamic displacement in real-time by fusing the velocity measured from a laser Doppler vibrometer (LDV) and the displacement from a light detection and ranging… read more here.
Keywords: based kalman; smoothing based; displacement estimation; dynamic displacement ... See more keywords
Sensorless force and displacement estimation in soft actuators
Sign Up to like & getrecommendations! Published in 2023 at "Soft Matter"
DOI: 10.1039/d2sm01197b
Abstract: Sensing forms an integral part of soft matter based robots due to their compliance, dependence on loading conditions, and virtually infinite degrees of freedom. Previous studies have developed several extrinsic sensors and embedded them into… read more here.
Keywords: estimation; displacement estimation; soft actuators; force displacement ... See more keywords
A Novel WasSAR Image Offset Information Estimation Method for 3-D Information Acquisition
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3528463
Abstract: The wide angle staring synthetic aperture radar (WasSAR), as an emerging synthetic aperture radar (SAR) observation mode, enables long-duration, multiangular imaging of a scene, demonstrating remarkable advantages in 3-D information acquisition. A critical step in… read more here.
Keywords: information; displacement estimation; information acquisition; estimation ... See more keywords
Bi-Directional Semi-Supervised Training of Convolutional Neural Networks for Ultrasound Elastography Displacement Estimation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control"
DOI: 10.1109/tuffc.2022.3147097
Abstract: The performance of ultrasound elastography (USE) heavily depends on the accuracy of displacement estimation. Recently, convolutional neural networks (CNNs) have shown promising performance in optical flow estimation and have been adopted for USE displacement estimation.… read more here.
Keywords: performance; neural networks; ultrasound elastography; displacement estimation ... See more keywords