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.
Results
Showing 1 to 20 of 41 for “"trajectory prediction."”.
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A general, context-aware pedestrian trajectory prediction model
… such as cyclists and pedestrians. Pedestrian trajectory prediction is challenging because of the relatively higher number of degrees of freedom in pedestrian movement and absence of uniform rules across different cities and different scenarios within a city. Furthermore, in scenarios such as …
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Deep Generative Models for Trajectory Prediction and Mobility Network Forecasting
… framework achieves up to 40% relative gains in trajectory accuracy and up to 100x improvement in contact prediction over state-of-the-art baselines. These results demonstrate that combining advanced sequence modeling with explicit contact inference offers a powerful, scalable solution for …
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Models for Pedestrian Trajectory Prediction and Navigation in Dynamic Environments
… these models are more general than current trajectory prediction systems and have fewer hyper-parameters. In both simulations and real-world datasets, the multimodal extension significantly increases the accuracy of trajectory prediction. One of the new neighbor representation architectures …
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Robust Online Trajectory Prediction for Non-cooperative Small Unmanned Aerial Vehicles
… effort is being exerted to develop sophisticated trajectory prediction methods for UAVs for collision detection and trajectory planning. The existing techniques suffer from problems such as inadequate uncertainty quantification of predicted trajectories. This work adopts particle filters together …
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A Data Driven Modeling Approach for Store Distributed Load and Trajectory Prediction
… model was shown to provide high-fidelity predictions for new combinations of reduced frequency and amplitude with a maximum percent error of integrated loads of less than 3\%. Therefore, it was demonstrated that the surrogate model was capable of predicting accurately at intermediate …
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An end-to-end agent-map interaction framework for multi-agent trajectory prediction
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms
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Gait Phase Estimation and Foot Trajectory Prediction During Dynamic Walking Using Gated Recurrent Units
… of assistive robotics and exoskeletons, foot trajectory prediction has the potential to play a pivotal role in improving the functionality and user experience of worn devices. Rather than operating as a reactive system which only responds to user movement, a de vice which predicts future foot …
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Machine Learning-Driven Trajectory Prediction Models and Motion Control Strategies for Connected Automated Vehicles with Human Adaptation
L'abstract è presente nell'allegato / the abstract is in the attachment
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Risk Aware Planning and Probabilistic Prediction for Autonomous Systems under Uncertain Environments
… considers risk aware planning and probabilistic prediction for autonomous systems under uncertain environments. Motion planning under uncertainty looks for trajectories with bounded probability of collision with uncertain obstacles. Existing methods to address motion planning problems under …
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Homo prospectus to robo prospectus : towards predictive algorithms for advanced autonomous vehicle perception
Intention and trajectory prediction are key factors in the autonomy stack of self-driving vehicles. They help to avoid potential collisions and plan safe paths.This thesis presents a comprehensive investigation into the enhancement of intention and trajectory prediction in Autonomous Vehicles (AV) …
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Small UAV Trajcetory Prediction and Avoidance using Monocular Computer Vision
… another small UAS. Collision avoidance requires trajectory prediction and the performance of a collision avoidance system can be improved by extending the prediction horizon. In this thesis, an algorithm for predicting the trajectory of a small, fixed-wing UAS using an estimate of its orientation …
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Human-Centric Spatio-temporal Modeling and Analysis for Multimedia Data
… research unfolds two distinctive approaches to trajectory prediction. The first approach is an attention-aware social graph transformer network that leverages sequence models to predict motion trajectories in complex public spaces. The second method integrates distributional diffusion into …
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Predicting pilot intent and aircraft trajectory in uncontrolled airspace
The ability to predict the likely trajectory is a key element of safely integrating Unmanned Aerial Systems (UAS) in the National Airspace System (NAS). A particularly challenging environment is in the vicinity of uncontrolled airports, where the route the pilot plans to follow is not available. …
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Predictive Warning System for a Class of Shared-Control Vehicular CPS via Dynamic Information Flow Tracking.
… the hybrid automata framework with human inputs. Trajectory prediction methods are used to identify possible conflicts, coded as the avoid set of the system. Using Dynamic Information Flow Tracking (DIFT), human inputs and their effect over time are accumulated and classified in a continuous range …
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Automated and Handcrafted Neural Network Design for Vision Applications
… memory cells and gated operations for pedestrian trajectory prediction and a hybrid transformer-convolutional network for video deraining. To facilitate the applications of designed neural networks, the thesis further presents a semi-supervised learning based framework that leverages only a few …
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Threat assessment for safe navigation in environments with uncertainty in predictability
… second part of the thesis presents an efficient trajectory prediction algorithm that has been developed to improve the performance of future collision avoidance and detection systems. The proposed approach, RR-GP, combines the Rapidly-exploring Random Trees (RRT) based algorithm, RRT-Reach, with …
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Genetic regulation of neuronal stem cell differentiation: a single-cell sequencing study in planarians
… Finally, we discuss transcriptome-based lineage trajectory prediction to reconstruct relationships between neuronal differentiation stages. Our work paves the way for studying neuronal diversity across the animal kingdom using single cell transcriptomics.
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Human-aware Motion Planning for Aerial Robots
… The algorithm combine Social GAN SGAN for human trajectory prediction with Rapidly-exploring Random Tree Star RRT* for path planning. The objective is to efficiently and safe navigate in the area with human. Drones would avoid moving human and maintaining optimal flight path. During training SGAN …
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A Feasibility Problem Approach For Reachable Set Approximation
… powerful tools for numerous applications like trajectory prediction, system verification, collision avoidance or control strategy validation. The computation of reachable sets (and controllability sets) is a central part of this analysis. In this work we advance an algorithm for approximating …
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Hierarchical Behavior Models for Characterizing Trajectories within Terminal Airspace
… better representing the multi-scale structure of trajectory patterns. At the same time, the features which distinguish between behaviors and sub-behaviors may vary across behaviors and at different levels in the hierarchy. This research proposes a hierarchical model of behaviors and develops a …
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