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 “"robotic vision"”.
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THE CHALLENGE OF DOMAIN SHIFT IN REAL-WORLD ROBOTIC VISION: TOWARD SCALABLE, UNSUPERVISED, AND CLOUD-BASED ADAPTATION
… the complexity of human-centric environments, robotic vision, namely computer vision embedded in mobile robots, has become an essential capability to acquire a semantically-rich understanding of the environment for improving core robotics tasks (such as navigation and localization), but also to …
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Investigations of three-dimensional optical transfer functions
… non-invasive surgery, 3-D microscopy and robotic vision. This thesis primarily deals with some investigations of 3-D optical transfer functions (OTFs). Specific emphasis has been made on the interpretation of 3-D wavefield distributions as an extension of 2-D defocused OTFs and also the …
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Guidance, Navigation and Control of a Fly-By-Wire Transport Category Airship Designed for Hover Cargo Delivery
… was achieved using target LEDs, and applying robotic vision techniques such as motion detection, color blob analysis, and stereo vision. The developed control laws were tested during indoor flight tests, and conclusions were drawn regarding their feasibility.</p>
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Stabilization and Control of a Quad-Rotor Micro-UAV Using Vision Sensors
… board called Helios has been developed in the Robotic Vision Lab at Brigham Young University. Helios allows researchers to perform on-board vision processing and feature tracking without the aid of a ground station or wireless transmission. Using this on-board feature tracking system a drift …
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Self-Supervised Learning for Geometry
… thesis focuses on two fundamental problems in robotic vision, scene geometry understanding and camera tracking. While both tasks have been the subject of research in robotic vision, numerous geometric solutions have been proposed in the past decades. In this thesis, we cast the geometric …
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Visual Place Recognition under Severe Viewpoint and Appearance Changes
Over the last decade, the eagerness of the robotic and computer vision research communities unfolded extensive advancements in long-term robotic vision. Visual localization is the constituent of this active research domain; an ability of an object to correctly localize itself while mapping the …
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Object Tracking: Appearance Modeling And Feature Learning
… real scenes is an important problem in computer vision due to increasing usage of tracking systems day in and day out in various applications such as surveillance, security, monitoring and robotic vision. Object tracking is the process of locating objects of interest in every frame of video …
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An unmanned aerial vehicle-based assessment method for quantifying computer vision models
Computer vision is a growing field in computer science. Since the advancement of Machine learning, Computer vision solutions have been trending. As a result of the growing number of solutions and performance increases in Machine learning, machine learning solutions are now being utilized in the …
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3D sensing and mapping using mobile color and depth sensors
… impact on various fields such as computer vision, gaming, augmented reality, and robotic vision. However, like every new technology, depth cameras also suffer from severe limitations such as low resolution, significant noise, lens distortion, and inability to work in outdoor environments. …
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Semi Autonomous Vehicle Intelligence: Real Time Target Tracking For Vision Guided Autonomous Vehicles
… critical. Low power CMOS cameras and real-time vision processing algorithms can provide fast and reliable information to the UVs. These vision algorithms often require computational power that limits their use in traditional general purpose processors using conventional software. The latest …
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Structure from Motion Using Optical Flow Probability Distributions
Several novel structure from motion algorithms are presented that are designed to more effectively manage the problem of noise. In many practical applications, structure from motion algorithms fail to work properly because of the noise in the optical flow values. Most structure from motion …