Sökning: "sensor data fusion"

Visar resultat 6 - 10 av 69 avhandlingar innehållade orden sensor data fusion.

  1. 6. Stochastic Multi-Agent Plan Recognition, Knowledge Representation and Simulations for Efficient Decision Making

    Författare :Robert Suzic; Stefan Arnborg; Galina Rogova; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Plan Recognition; Decision Making; Knowledge Representation; Information Fusion; Predictive Situation Awareness; Data Fusion; Computer science; Datalogi;

    Sammanfattning : Advances in information technology produce large sets of data for decision makers. In both military and civilian efforts to achieve decision superiority, decision makers have to act agilely with proper, adequate and relevant information available. Information fusion is a process aimed to support decision makers’ situation awareness. LÄS MER

  3. 7. Visual Object Tracking and Classification Using Multiple Sensor Measurements

    Författare :Yixiao Yun; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; sensor fusion; Riemannian manifold; visual pattern classification; multiple view geometry; Visual object tracking; boosting; multiple sensor measurement;

    Sammanfattning : Multiple sensor measurement has gained in popularity for computer vision tasks such as visual object tracking and visual pattern classification. The main idea is that multiple sensors may provide rich and redundant information, due to wide spatial or frequency coverage of the scene, which is advantageous over single sensor measurement in learning object model/feature and inferring target state/attribute in complex scenarios. LÄS MER

  4. 8. Sensor-based knowledge- and data-driven methods : A case of Parkinson’s disease motor symptoms quantification

    Författare :Somayeh Aghanavesi; Mark Dougherty; Mobyen Uddin Ahmed; Högskolan Dalarna; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Parkinson’s disease; motion sensors; motor symptoms; smartphone; microdata; multivariate analysis; data-driven; knowledge-driven; support vector machine stepwise regression; predictive models; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys;

    Sammanfattning : The overall aim of this thesis was to develop and evaluate new knowledge- and data-driven methods for supporting treatment and providing information for better assessment of Parkinson’s disease (PD).PD is complex and progressive. There is a large amount of inter- and intravariability in motor symptoms of patients with PD (PwPD). LÄS MER

  5. 9. Automotive Sensor Fusion for Situation Awareness

    Författare :Christian Lundquist; Fredrik Gustafsson; Thomas Schön; Jonas Sjöberg; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Systems engineering; Systemteknik;

    Sammanfattning : The use of radar and camera for situation awareness is gaining popularity in automotivesafety applications. In this thesis situation awareness consists of accurate estimates of theego vehicle’s motion, the position of the other vehicles and the road geometry. LÄS MER

  7. 10. Human Engineering of Sensor Fusion Systems in Fighter Aircraft

    Författare :Peter Svenmarck; peter Wide; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : A pressing concern in modern fighter aircraft cockpit design is how to present and reduce large amounts of data obtained from several sensor observations of the same object. Currently, sensor observations are presented individually as overlays or in different displays requiring the pilot to control each sensor and integrate observations. LÄS MER