Articles with "motion prediction" as a keyword



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A Motion Prediction Confidence Estimation Framework for Prediction-Based Radiotherapy Gating.

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Published in 2020 at "Medical physics"

DOI: 10.1002/mp.14236

Abstract: PURPOSE Motion prediction can compensate for latency in image guided radiotherapy and has been an active area of research. However, motion predictions are subject to error and variations. We have developed and evaluated a novel… read more here.

Keywords: confidence; radiotherapy; prediction confidence; motion prediction ... See more keywords
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Vertical ground motion prediction equations and vertical-to-horizontal (V/H) ratios of PGA and PSA for Algeria and surrounding region

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Published in 2019 at "Bulletin of Earthquake Engineering"

DOI: 10.1007/s10518-019-00635-y

Abstract: The paper presents a ground motion prediction equation (GMPE) for the vertical pseudo spectral acceleration for periods varying from 0.02 to 4 s. The model is derived from the same strong motion database as previously considered… read more here.

Keywords: motion; period; spectral ratios; ground motion ... See more keywords
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Bilateral motion prediction and control for teleoperation under long time-varying delays.

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Published in 2021 at "ISA transactions"

DOI: 10.1016/j.isatra.2021.01.015

Abstract: Bilateral controller design for the teleoperation system is studied in this paper based on a motion prediction approach. To compensate the known long time-varying delays, novel predictors are presented to reconstruct the positions and velocities… read more here.

Keywords: time varying; time; teleoperation; motion prediction ... See more keywords
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Multiscale attention-based LSTM for ship motion prediction

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Published in 2021 at "Ocean Engineering"

DOI: 10.1016/j.oceaneng.2021.109066

Abstract: Abstract Ship motion prediction is applied to the shipboard stabilized platform to keep the equipment on the platform stable all the time, which is of great practical significance to the safety and efficiency of shipboard… read more here.

Keywords: ship motion; attention; motion prediction; lstm ship ... See more keywords
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On-going challenges in physics-based ground motion prediction and insights from the 2010–2011 Canterbury and 2016 Kaikoura, New Zealand earthquakes

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Published in 2019 at "Soil Dynamics and Earthquake Engineering"

DOI: 10.1016/j.soildyn.2018.04.042

Abstract: Abstract This paper presents on-going challenges in the present paradigm shift of earthquake-induced ground motion prediction from empirical to physics-based simulation methods. The 2010–2011 Canterbury and 2016 Kaikoura, New Zealand earthquakes are used to illustrate… read more here.

Keywords: ground; physics; motion prediction; physics based ... See more keywords
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Human arm motion prediction in human-robot interaction based on a modified minimum jerk model

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Published in 2021 at "Advanced Robotics"

DOI: 10.1080/01691864.2020.1840432

Abstract: Accurate prediction of human motion is essential to ensure the efficiency and safety of human-robot interaction (HRI), especially when humans and robots interact closely in a shared environment. A novel method is developed in this… read more here.

Keywords: motion; human arm; motion prediction; prediction ... See more keywords
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Strong Motion Data Based Regional Ground Motion Prediction Equations for North East India Based on Non-Linear Regression Models

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Published in 2020 at "Journal of Earthquake Engineering"

DOI: 10.1080/13632469.2020.1778586

Abstract: Existing Ground Motion Prediction Equations (GMPE) in practice for North East India have been developed using limited or simulated datasets of recorded ground motions. The current study presents th... read more here.

Keywords: motion; ground; prediction equations; north east ... See more keywords
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Ground Motion Prediction Equations for Malaysia Due to Subduction Zone Earthquakes in Sumatran Region

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Published in 2017 at "IEEE Access"

DOI: 10.1109/access.2017.2748360

Abstract: There has been numerous seismic hazard studies so far that includes Malaysian territories. However, there is a need to assess how reliable those studies are. Two main potential contributors to error have been identified: 1)… read more here.

Keywords: subduction; ground motion; due subduction; motion prediction ... See more keywords
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Deep Learning for 3D Human Motion Prediction: State-of-the-Art and Future Trends

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3163269

Abstract: Due to the success of deep learning in wide range of computer vision and computer graphics tasks, there is an increasing number of developed methods leveraging deep neural networks to solve human motion prediction. Recent… read more here.

Keywords: prediction methods; human motion; motion prediction; deep learning ... See more keywords
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PIMNet: Physics-Infused Neural Network for Human Motion Prediction

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Published in 2022 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2022.3188892

Abstract: Human motion prediction (HMP) predicts future human pose sequences given the past ones. HMP has recently attracted attention in computer vision and the robotics domain as it helps machines understand human behavior, plan target actions… read more here.

Keywords: physics; pimnet; motion prediction; human motion ... See more keywords
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Use of Social Interaction and Intention to Improve Motion Prediction Within Automated Vehicle Framework: A Review

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Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2022.3207347

Abstract: Human errors contribute to 94%(±2.2%) of road crashes resulting in fatal/non-fatal causalities, vehicle damages and a predicament in the pathway to safer road systems. Automated Vehicles (AVs) have been a potential attempt in lowering the… read more here.

Keywords: motion prediction; interaction; prediction; road users ... See more keywords