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Advancing Safety in Roadway Work Zones with Worker-Centred Augmented Reality: Assessing the Feasibility, Usability, And Effectiveness Of AR-Enabled Warning Systems
Title
Advancing Safety in Roadway Work Zones with Worker-Centred Augmented Reality: Assessing the Feasibility, Usability, And Effectiveness Of AR-Enabled Warning Systems
Author
Sabeti, Sepehr
Date Created
2023
Subjects--Topical
Transportation, Computer science
Description
In recent years, there has been a concerning increase in serious injuries and fatalities within highway work zones, deviating from a previously declining trend. While innovative technologies offer potential for improving safety, the specific needs...
Aviatar- An Augmented Reality System to Improve Pilot Performance for Unmanned Aerial Systems
Title
Aviatar- An Augmented Reality System to Improve Pilot Performance for Unmanned Aerial Systems
Author
Abbott, Robert
Date Created
2021
Subjects--Topical
Computer science, Aerospace engineering, Cognitive psychology
Description
In the modern airspace, small unmanned aircraft systems (UAS) such as drones are becoming increasingly popular with both amateur enthusiasts as well as professional pilots. In the three years following the initiation of the small drone registratio...
Fast and Energy-Efficient Mobility Management in Mobile Edge Computing Networks
Title
Fast and Energy-Efficient Mobility Management in Mobile Edge Computing Networks
Author
Wang, Haoxin
Date Created
2020
Subjects--Topical
Computer science, Communication, Computer engineering
Description
The prevalence of computation-intensive and latency-sensitive mobile applications, such as mobile augmented reality (MAR) and autonomous driving, has an utmost effect on resource-limited mobile clients. Mobile edge computing (MEC) is proposed to b...
Interactive Mining for Large-scale Neuro-Morphological Datasets
Title
Interactive Mining for Large-scale Neuro-Morphological Datasets
Author
Li, Zhongyu
Date Created
2018
Subjects--Topical
Computer science, Neurosciences, Biomedical engineering
Description
In this dissertation, we aim to investigate advanced methods for the computational analytics of large-scale neuro-morphological datasets, which can help neuroscientists interactively explore neurons in real-time. Particularly, we tackle the neuro-...
STRUCTURE-FROM-MOTION AND RGBD DEPTH FUSION
Title
STRUCTURE-FROM-MOTION AND RGBD DEPTH FUSION
Author
Chandra shekar, Akash
Date Created
2018
Subjects--Topical
Computer science, Robotics
Description
Abstract This article describes a technique to augment a typical RGBD sensor by integrating depth estimates obtained via Structure-from-Motion (SfM) with depth measurements from an RGBD sensor. Limitations in the RGBD depth sensing technology prev...