Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 43 for “"Motion prediction"”.
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Human motion prediction.
Motion data has been extensively used in the computer animation industry, feature films, pedestrian tracking, and surveillance. The capacity to understand and predict humans’ future movements is much sought-after, for it would have a range of practical applications in fields such as autonomous …
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Towards versatile 3D human motion prediction in the wild
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-05-01
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Real-Time Motion Prediction for Efficient Human-Robot Collaboration
Human motion prediction is an essential step for efficient and safe human-robot collaboration. Current methods either purely rely on representing the human joints in some form of neural network-based architecture or use regression models offline to fit hyper-parameters in the hope of capturing a …
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Autonomous Robotic Escort Incorporating Motion Prediction with Human Intention
… The proposed technique uses accurate path prediction incorporating human intention to locate the robot in front of the human while walking. Human intention is inferred by the head pose, an effective past-proven implicit indicator of intention, and fused with conventional physics-based …
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A Spatial Attention Mechanism for Motion Prediction in Autonomous Driving
… πειράματα στο σύνολο δεδομένων Waymo Open Motion και εστιάζουμε στην ανάλυση της συμπεριφοράς του Μηχανισμού Χωρικής Πυκνότητας. Μελετώντας τον αριθμό των συνιστωσών του μίγματος και τις υπερπαραμέτρους του SDM με τη χρήση απλών διαγνωστικών μετρικών για τα μίγματα (component utilization, …
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A New Ground Motion Prediction Equation for Otaniemi, Espoo, South-Finland
Uusi maanliikkeen maksimiarvoja ennustava malli, ON21, ratkaistaan ST1 Deep Heat:n geolämpövoimalalle Otaniemeen, Espoon kaupunkiin, Etelä-Suomeen. Raakadataa maanjäristyksistä, jotka sattuivat 2018 stimuloinnin yhteydessä, käsitellään, instrumentin vaste poistetaan ja taajuusaluetta käytetään …
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Regionally adaptable ground-motion Prediction Equations (GMPEs) for seismic hazard analysis
Adjustment of empirically derived ground motion prediction equations (GMPEs), from a data- rich region/site where they have been derived to a data-poor region/site, is one of the major challenges associated with the current practice of seismic hazard analysis. Due to the fre- quent use in …
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Robust human motion prediction for safe and efficient human-robot interaction
… interaction is through the use of human motion prediction. By predicting where a person might reach or walk toward in the upcoming moments, a robot can adjust its motions to proactively resolve motion conflicts and avoid impeding the person's movements. Current approaches to human motion …
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Probabilistic Human Arm Motion Prediction via Structured Multitask Variational Gaussian Processes
Accurate human motion prediction with uncertainty estimation is essential for safe and efficient human-robot collaboration, where robots must anticipate and react to human movements in real-time. Existing methods either rely on sophisticated techniques that demand extensive training data and …
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Dynamic user motion prediction using advanced Kalman filtering in 5G mmWave systems
… with beam sweeping, and Kalman Filter-based prediction to address these challenges effectively. By leveraging key measurements such as Angle of Arrival (AoA), Received Signal Strength (RSS) and Signal-to-Noise-and-Interference Ratio (SINR), the system dynamically tracks and predicts user …
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Mechanisms of Multi-Object Working Memory and Motion Prediction in the Primate Brain
… concerns the nature of predicting object motion. Some claim that the mind has an internal model of physics in the world that it uses to simulate the motion of objects through time, whereas others claim the mind relies on priors and heuristics to predict object motion without explicit …
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Ground Motion Prediction Equations for Non-Spectral Parameters using the KiK-net Database
The KiK-net ground motion database is used to develop ground motion prediction equations for Arias Intensity (I<sub>a</sub>), 5-95% Significant Duration (Ds<sub>5-95</sub>), and 5-75% Significant Duration (Ds<sub>5-75</sub>). Relationships are developed both for shallow crustal earthquakes and …
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Autonomous Dynamic Grasping with a Robotic Arm: Real-Time Motion Prediction and Adaptive Control
… task requires the integration of perception, prediction, and control in real-time. Typical approaches involve tracking the target’s position in real-time using vision-based systems, estimating its velocity, and generating tailored Cartesian-space trajectories to ensure the robot’s end-effector …
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Towards Enhanced Earthquake Resilience: Linking Early Warning Systems, Ground Motion Prediction, and Stress Field Analysis
… particularly in accurately predicting ground motion and event characteristics in complex tectonic settings. To address this, we examine how fault complexity affects ground motion predictions, emphasizing that realistic fault geometries and fault-zone properties can significantly influence …
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Reduced order extended kalman filter incorporating dynamics of an autonomous underwater vehicle for motion prediction
… vehicles is the creation of a reliable motion prediction. Kinematic Extended Kalman Filters (EKF) have been applied for AUV motion prediction in the context of Simultaneous Localization and Mapping (SLAM) [1]. It has been suggested that a dynamics based EKF would produce more accurate …
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Use of Cone Penetration Testing in the Interpretation of Ground Shaking From Paleoliquefaction Evidence
… 7.0 and 7.9 depending on the choice of ground motion prediction relationship, and the choice of magnitude and ground motion prediction relationship for design should be consistent to avoid significantly overestimating or underestimating ground motions at a site.
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The Development and Utilization of Tandem Fluency in Human-Exoskeleton Interaction
… exoskeleton systems, especially for non-cyclic motions, disrupt user intent and movement, often offering no benefit, or even causing harm by increasing discomfort and injury risk. This lack of fluency is frequently linked to poor intent recognition and absence of predictive control. To address …
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Global Structure of the Mantle Transition Zone Discontinuities and Site Response Effects in the Atlantic and Gulf Coastal Plain
… of the residuals from the stochastic ground motion prediction method suggests that incorporating the site response effects as functions of sediment thickness may improve ground motion prediction models for the Coastal Plain region.
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Predictive earthquake damage modeling for natural gas distribution infrastructure
… This thesis aimed to develop a damage prediction model to improve emergency response time and restoration efficiency. The machine-learning based model built upon currently used predictive algorithms, while adding features necessary to account for distribution branch lines and …
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