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 17 of 17 for “"Limited field-of-view"”.
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Acquisition and control of a precision formation flying mission
… space-based interferometers will provide images of unprecedented resolution. Missions such as Stellar Imager plan to use multiple spacecraft in a formation instead of a typical monolithic space telescope, achieving a resolution up to 0.1 milliarcseconds. In order to assemble into a formation, …
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Risk-Aware Human-In-The-Loop Multi-Robot Path Planning for Lost Person Search and Rescue
… are used to generate a probabilistic heatmap of the lost person's position and anticipated searcher trajectories. We use Gaussian processes with a Gibbs' kernel for data fusion to accurately model a limited field-of-view sensor. Our algorithm thereby computes a set of trajectories for a team …
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Autonomous UAV-UGV robot collaboration for exploration and mapping of unknown environments
This thesis addresses the limitations of existing approaches to autonomous exploration and mapping of unknown environments that use multiple Unmanned Ground Vehicles (UGVs). An Unmanned Aerial Vehicle (UAV) is introduced into the multirobot system to overcome the challenges of relative localization …
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Technologies for Astronomical Wide-Field Adaptive Optics
… Optics (AO) can greatly enhance the resolution of astronomical images, achieving close to diffraction-limited performance in the near infrared; however there are a number of areas where significant improvements can be made, one of them being the very limited field of view that current AO systems …
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Implementation of Vision-Based Navigation for Pedestrian Environments
… has rapidly grown to become a predominant field of study utilizing recent advances in robotics and artificial intelligence. Most autonomous navigation methods rely on expensive and complex sensor arrays such as Lidar, which pose practical limitations on the widespread deployment of these …
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Photoacoustic image reconstruction to solve the acoustic inverse problem with deep learning
… technique for detection and characterization of diseases, such as superficial tumors. It combines the strengths of optical imaging and ultrasound: high optical contrast as well as high imaging depth and spatial resolution. Handheld PA devices, which are popular due to their versatility and …
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Head mounted display architectures for 3D augmented reality
Augmented reality (AR) is the enhancement of our perception of the world around us. It promises the ability to simultaneously interact with a virtual environment and real objects, providing an intuitive method to interact with data. However, AR displays must be lightweight and compact, and be able …
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Significance of omnidirectional fisheye cameras for feature-based visual SLAM
Robust GPS-denied navigation of mobile robots is becoming increasingly important as robots become more ubiquitous. Cameras are powerful sensors for this application due to their low cost and high information density. The task of using camera-based computer vision techniques for navigation is …
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Computational tools for monitoring neural connectivity using calcium imaging
The development of optogenetics and calcium imaging have enabled light-activated manipulation and monitoring of neural activity that offer powerful alternatives to traditional electronic and chemical methods. Along with light-evoked activity, many technical advancements have been made that allow …
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Tools for acquired scene analysis and transmission
… search engine can provide an increasing number of instances where the full 3D models of cities are available to users for a virtual walk through. From research viewpoint, design of such virtual environments needs to address two key concepts of “user interface” and “data manipulation”. A wide …
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A Low-cost autonomous tracking camera system for 3d marker-less motion capture of animals in the wild
The study of natural movement has long fascinated scientists, engineers and doctors. Today, motion capture research not only aids in medical diagnostics and rehabilitation but also enhances game and movie animations. Additionally, it contributes to the understanding of complex organic motions, …
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Visibility-Aware Motion Planning
The motion planning problem, of deciding how to move to achieve a goal, is ubiquitous in robotics. In many robotics applications, there is a map of the environment that is generally useful, but typically outdated as it does not include information about unknown obstacles, such as clutter. This …
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Diffuse Optical Tomography Methods for Imaging the Developing Brain
… to perform early and continuous monitoring of brain function in infants. Its methodology overcomes many of the technical and logistical challenges of performing magnetic resonance imaging (MRI) investigations in neonates. However, standard DOI systems suffer from limitations such as low …
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Evaluating Mental Workload for AR Head-Mounted Display Use in Construction Assembly Tasks
… experience in the real world. The portability of this technology affords various information display options for construction workers that are not possible otherwise. The information delivered via an interactive user interface provides an innovative method to display complex building …
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Dynamic Cone-beam Reconstruction for Perfusion Computed Tomography
… aim is to assess the blood supply to tissue. The limited field of view of current CT detectors restricts its use to perfusion studies of a small volume. The introduction of large area detectors in CT, however, will allow perfusion studies of entire organs, increasing the clinical relevance of …
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Improving Image Quality in Holographic Projections through Novel Iterative Algorithmic Solutions
… stereoscopic displays. Holography is capable of demonstrating fully three-dimensional images without a loss in resolution, however, its current drawbacks such as comparatively limited field of view, limitations in hardware, with spatial light modulators mostly capable of modulating either the …
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3D scene and object parsing from a single image
The term 3D parsing refers to the process of segmenting and labeling the 3D space into expressive categories of voxels, point clouds or surfaces. Humans can effortlessly perceive the 3D scene and the unseen part of an object from a single image with a limited field of view. In the same sense, a …