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 20 of 321 for “"Vision-based"”.
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VISION-BASED ROBOTIC MANIPULATION
Vision-based robotic manipulation has emerged as a pivotal research area within the field of robotics, leveraging advanced computer vision techniques to enable robots to perceive and interact with their environment autonomously. This thesis explores three critical aspects of vision-based robotic …
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Vision based robot navigation
In this thesis we propose a vision-based robot navigation system that constructs a high level topological representation of the world. A robot using this system learns to recognize rooms and spaces by building a hidden Markov model of the environment. Motion planning is performed by doing …
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Vision based interactive toys environment
… the author assumed the hypothesis that Computer Vision is a technique that has great potential to support the concept of marrying the digital world with the physical one. This was proven by developing a novel sensing technology that allows users to use their home computer and an ordinary web …
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Understanding Vision-based Dynamics Models
Recent developments in vision-based dynamics models have helped researchers achieve state-of-the-art results in a number of fields. For instance, in model-based reinforcement learning, vision-based methods perform extremely well on a variety of games and control tasks while using orders of …
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Vision-Based Human Directed Robot Guidance
… methods to track a user-defined point in the vision of a robot as it drives forward. This tracking allows a robot to keep itself directed at that point while driving so that it can get to that user-defined point. I develop and present two new multi-scale algorithms for tracking arbitrary …
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Vision-based dynamical systems and learning
… in mobile robots rely heavily on a computer vision machinery that provides the necessary feedback to the decision making and control units. In recent years, the advances in both machine learning algorithms and computer hardware have led to more wide application of deep neural networks in …
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FPGA-aided MAV vision-based estimation
The process of estimating motion trajectory through an unknown environment from a monocular image sequence is one of the main challenges in Micro Air Vehicle (MAV) navigation. Today MAVs are becoming more and more prevalent in both civilian and military operations. However, with their reduction in …
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Egocentric Vision Based Localization of Shopping Cart
… from egocentric images is a challenge computer vision problem which has been strongly investigated in the last years. Localizing a camera in a 3D space can open many useful applications in different domains. In this work, we analyse this challenge to localize shopping cart in stores. Three main …
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Vision based guidance of an agricultural combine
A machine vision based guidance system for agricultural combines was developed at the University of Illinois. Three machine vision guidance algorithms were developed and evaluated for guidance. The first algorithm, the Low Head Mounted Camera Algorithm (LHMCA), utilized images from a head mounted …
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Vision-Based Solar Forecasting with Deep Learning
… or satellites. Besides traditional physics-based algorithms, neural networks have recently shown considerable potential in tackling this computer vision task. Benefiting from a wider availability of resources and rapid progress in the field of machine learning, this interest is expected to …
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Vision-Based Construction Worker Task Productivity Monitoring
… environments. Therefore, two novel computer vision-based algorithms are developed to perform both the intra and the inter camera tracking. The second method of the proposed framework converts the 4D trajectories of workers into productivity information. These trajectories are clustered into …
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Vision-based localization for robot-CNC hybrid manufacturing
… added. In this work, the effects of error in vision-based, contactless robot localization on machining parameters in a robot-machine hybrid process were studied. Performance was characterized on an implementation of this system using classical computer vision techniques. In addition, machining …
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Improving Vision-Based Robotic Grasping for Enhanced Comprehensibility
The objective of vision-based robotic grasping is to determine the parameters of a gripper, including its position, orientation, and opening width, in order to maximize the probability of successfully grasping an object. However, we identified three issues with the current approaches: they neglect …
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Self-supervised Learning Methods for Vision-based Tasks
Dealing with large amounts of unlabeled data is a very challenging task. Recently, many different approaches have been proposed to leverage this data for training many machine learning models. Among them, self-supervised learning appears as an efficient solution capable of training powerful and …
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Computer vision based posture estimation and fall detection.
… this research aims to develop a computer vision-based fall detection system. This study proposes fall detection in three stages: (A) Detection of human silhouette and recognition of the pose, (B) Detection of the human as three regions for different postures including fall and (C) …
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Towards vision based robots for monitoring built environments
In construction, projects are typically behind schedule and over budget, largely due to the difficulty of progress monitoring. Once a structure (e.g. a bridge) is built, inspection becomes an important yet dangerous and costly job. We can provide a solution to both problems if we can simplify or …
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Vision-based trailer pose estimation for articulated vehicles
… describes the development of practical vision-based articulation angle and trailer off-tracking sensing for HGVs. Chapter 1 provides a background and literature review, covering important vehicle technologies, existing commercial and experimental sensors for articulation angle and …
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