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 11 of 11 for “"Trajectory Reconstruction"”.
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Optimal Indoor Positioning, Trajectory Reconstruction and Localisation with Uncertainty Control using Radio-Frequency Measurements
… Ultra-Wideband (UWB) anchors through a random trajectory. This is done by studying the dual of the positioning problem addressed in the first part, that is incorporating CRLB as a measure of optimality to design a trajectory that minimizes the uncertainty of anchor initialization. We finally …
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Spatiotemporal Indexing With the M-Tree
… We present modifications to the tree which allow trajectory reconstruction with fast insert performance and modifications which allow the tree to be built with awareness of the spatial locality of reference in spatiotemporal data.
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Positioning in geophysics : applications to GPS seismology, airborne gravimetry, and the Dawn Spacecraft at Vesta
… software GEODYN, which is used by NASA/GSFC for trajectory reconstruction and geophysical analyses of planets. Image constraints are shown to converge an orbit solution that differs from that computed by the Dawn Science Team at JPL by less than 13 m. Chapter 5 describes the application of the …
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Statistical aspects of optimal transport
… these results by considering the problem of trajectory reconstruction, proposing two practical methods based off both un-regularized and entropic OT.
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Utility-based map reduction for ground and flight vehicle navigation
… access to sensor measurements or the vehicle trajectory. This enables predetermination of a generic, limited-size place-recognition database containing the N best locations in the environment. A street-map simulator using city-map data and a terrain relative navigation simulator using …
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Motion control and real-time systems: an approach to trajectory rebuilding in non-deterministic networks
… consequences. In this thesis, the problem of trajectory reconstruction in the case of an event-triggered communication system is faced. The most important feature that a real-time communication system must have is the preservation of the following temporal and spatial properties: absolute …
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A Real-Time Computer Vision Based Framework For Urban Traffic Safety Assessment and Driver Behavior Modeling Using Virtual Traffic Lanes
Vehicle recognition and trajectory tracking plays an integral role in many aspects of Intelligent Transportation Systems (ITS) applications; from behavioral modeling and car-following analyses to congestion prevention, crash prediction, dynamic signal timing, and active traffic management. This …
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Development of A Trajectory Population Data and its Application in CAV Research
Vehicle trajectory data has played a critical role in the recent history of traffic flow and CAV operations-related studies. However, available trajectories have limited coverage, either spatial or temporal. The implementation of CAV technology is expected to produce a large-scale trajectory …
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ItsBlue: A Distributed Bluetooth-Based Framework for Intelligent Transportation Systems
… and waiting times. Also, we develop a vehicle trajectory reconstruction application.</p> <p>The itsBlue framework and applications are thoroughly evaluated by experiments and simulations. In order to evaluate our work, we develop an enhanced version of the UCBT Network Simulator 2 (NS-2). …
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Classifier based incremental reconstruction of human object trajectory in live video streams
… specifically applicable to the task for trajectory reconstruction and selected to make the best use of data and to achieve the best result in terms of speed of data processing which is further discussed in chapter 6. On the basis of the experimental work conducted in this research we have …
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Historical Consistent Neural Networks for Wind Power Prediction
… a staged experimental protocol, moving from trajectory reconstruction in fully observable chaotic systems (Logistic map, Rabinovich-Fabrikant, Rössler, Lorenz) to forecasting in noisy, partially observable real-world data. In the latter regime, the framework’s ability to generate reliable …