Browsing by Author "Asmar, Daniel"

Now showing items 1-13 of 13

3D Autocomplete: Enhancing UAV Teleoperation with AI in the Loop

Ibrahim, Batool

Manually teleoperating a flying robot can be a demanding task, especially for users with limited levels of experience. This is primarily due to the nonlinear properties of such robots in addition to the difficulty of ...
Automatic Reconstruction of Glass Relics Using Manifold Learning

Kawtharani, Rabab (2024-02-12)

The risk imposed by manual reassembly on valuable broken relics necessitates automating this process by leveraging computer vision for 3D data acquisition, and data science to extract features of interest from high ...
Deep Learning and Mixed Reality for Autocomplete Teleoperation

Kassem Zein, Mohammad (2/4/2021)

Teleoperation of robots can be challenging, especially for novice users with little to no experience at such tasks. The difficulty is largely due to the numerous degrees of freedom users must control and their limited ...
Detection and Localization of Processionary Moth Nests in Pine Trees Using Multi-Stream Convolutional Neural Networks

Jaber, Nael (2/8/2021)

The Pine Processionary Moth (PPM) is considered the main defoliator of pine trees and a menacing threat to various other perennial species including oak and cedar. Given their negative secondary effects, spraying of ...
Federated Machine Learning and TinyML Inference for Crop Disease and Pest Classification on Smartphones

Hasan, Hadi (2024-05-02)

As the agricultural industry undergoes a technological revolution, the integration of machine learning (ML) and mobile technologies emerges as a promising solution to address crop disease management efficiently. In this ...
Human Object Interaction Detection in Paintings using Multi-Task Learning

Antoun, Maya (2023-07-18)

Human Object Interaction (HOI) detection provides valuable insights into the meaning and interpretation of a painting, as the interactions between humans and object reveal information about the scene, characters, and ...
Human-Robot Interaction Through Mixed-Initiative Supervised Autonomy

Sidaoui, Abbas (2/7/2022)

Achieving full autonomy in robotic tasks is the ultimate goal for researchers and designers. This goal is motivated by the rapid advancements in automation algorithms and the decreasing cost of robotic hardware. However, ...
Map to Map: From SLAM to CAD Maps and Back Using Generative Models

Daher, Rema (12/19/2020)

Simultaneous Localization and Mapping (SLAM) has been mostly used for the purpose of localization. Recently, more research has been focused on the quality of generated SLAM maps and their uses. Robotic maps can be utilized ...
PERSONALIZATION OF AUTOCOMPLETE FRAMEWORK

Haj Hussein, Mohammad (2/10/2023)

Remote controlling robots without any automated help is difficult due to various limitations. Autocomplete enhances teleoperation by recognizing operator intentions from the input of the user and automating motions when ...
QUANTITATIVE CHARACTERIZATION OF MULTIPHASE MIXTURES APPLIED TO OIL SPILL THICKNESS MEASUREMENT

Saleh, Mahdi (1/12/2021)

During oil spill incidents, large amounts of oil mixtures spread through open water. Studies have shown that the effectiveness of oil cleaning techniques depends on knowing the actual thickness of oil films. However, under ...
SEGMENTATION AND MOTION ANALYSIS OF TEXTURED THREE-DIMENSIONAL SCANS OF TEETH

El Bsat, Abdul Rehman (5/10/2021)

Teeth movement is an important process for a dentist that helps in gauging the progress of the treatment. However, the lack of a stable reference with respect to which one could measure the teeth movement makes this a ...
A Unified Hybrid Formulation for Visual SLAM

Younes, Georges (2/9/2021)

Visual Simultaneous Localization and Mapping (Visual SLAM (VSLAM)), is the process of estimating the six degrees of freedom ego-motion of a camera, from its video feed, while simultaneously constructing a 3D model of the ...
Vision-based Autonomous Navigation of UAVs

Wardeh, Majd (2/10/2023)

Autonomous Drone Racing (ADR) has recently become the going-to-the-moon milestone for many roboticists. A challenging problem that advances the development of vision-based perception and navigation algorithms to perform ...

Now showing items 1-13 of 13

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Browsing by Author "Asmar, Daniel"

Browsing by Author "Asmar, Daniel"

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Copyright Statement