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 6 of 6 for “"Intent Prediction"”.
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Bayesian Approaches to Tracking, Sensor Fusion and Intent Prediction
… Bayesian approaches to object tracking and intent prediction. Successful navigation/positioning applications rely fundamentally on the choice of appropriate dynamic model and the design of effective tracking algorithms capable of maximising the use of the structure of the dynamic system and …
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Context-aware pedestrian intent prediction for connected and automated vehicles
… the safety of road users. Detecting pedestrian intention is a key element in providing safer urban environments to automated vehicles. However, the complexity involved in anticipating pedestrian crossing intentions makes the task challenging, as these are internal states characterized by …
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Human intent prediction for adaptive lighting based on a limited data scenario
… of user habits in order to infer different user intents. In this work, we present a new personalized lighting control method that can learn explicit and implicit context though knowledge-based background and interactions. Instead of collecting a large amount of personal data, we explore the …
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Bayesian Relevance for Enhanced Human-Robot Collaboration
Intent prediction is a difficult yet critical component for seamless Human Robot Collaboration (HRC). As robots become increasingly involved in helping humans with a variety of tasks, ranging from part assembly to healthcare and more, it is crucial to model and understand human intention. Many …
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Stochastic Modelling and Approximate Bayesian Inference: Applications in Object Tracking and Intent Analysis
… 6. Driven by applications in object tracking and intent inference, the developed methodologies aim to accurately capture desired motion characteristics while enhancing the effectiveness, efficiency, and robustness of estimations. The applications of intent inference and single object tracking are …
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Accurate and Trustworthy Recommender Systems: Algorithms and Findings
… recommender systems (SBRSs) and user intent-aware recommender systems, which have been proposed to enhance accuracy and personalization via modeling users’ short-term and evolving interests. Existing recommender systems face two significant limitations. First, they cannot incorporate …