Enhancing Direct Georeferencing Using Real-Time Kinematic UAVs and Structure from Motion-Based Photogrammetry for Large-Scale Infrastructure DOI Creative Commons
Soohee Han, Dongyeob Han

Drones, Journal Year: 2024, Volume and Issue: 8(12), P. 736 - 736

Published: Dec. 5, 2024

The growing demand for high-accuracy mapping and 3D modeling using unmanned aerial vehicles (UAVs) has accelerated advancements in flight dynamics, positioning accuracy, imaging technology. Structure from motion (SfM), a computer vision-based approach, is increasingly replacing traditional photogrammetry through facilitating the automation of processes such as triangulation (AT), terrain modeling, orthomosaic generation. This study examines methods to enhance accuracy SfM-based AT real-time kinematic (RTK) UAV imagery, focusing on large-scale infrastructure applications, including dam its entire basin. target area, primarily consisting homogeneous water surfaces, poses considerable challenges feature point extraction image matching, which are crucial effective SfM. To overcome these improve constraint equation was applied, incorporating weighted coordinates derived RTK data. Furthermore, oblique images were combined with nadir stabilize AT, confidence-based filtering applied clouds geometric quality. results indicate that assigning appropriate weights imagery significantly accuracy. approach presents promising UAV-based SfM-challenging, environments, thus supporting more efficient precise applications.

Language: Английский

Data-driven joint routing, topology, and mobility design for FANET systems using a digital twin approach DOI Creative Commons
Basma M. Mohammad El-Basioni

Journal of Electrical Systems and Information Technology, Journal Year: 2025, Volume and Issue: 12(1)

Published: Jan. 8, 2025

Abstract The drones industry has witnessed great progress, and its systems have many important applications. free autonomous movement of is considered a double-edged sword; it enables tremendous use cases, at the same time, makes design communication network among drones, especially routing protocol, very delicate matter. Therefore, research heading toward achieving joint that controls in favor communication. current work based on idea exploiting conveying data for building digital twin system itself such can be realized. decision support provided by model-based reinforcement learning using dynamic programming policy iteration algorithm. model allows to learn, offline plan, online re-plan through observing outcomes real environment. This paper describes implements proposed solution compares standard Ad-hoc protocol model-free learning-based protocol. simulation results showed greatly improves overall Quality Service (QoS).

Language: Английский

Citations

1
Team-Communication Modeling Framework for Multi-Unit Nuclear Power Plant Accident Analysis DOI Creative Commons

Shelly Salim,

Seon-Yeong Yeom, Dong-Han Ham

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(9), P. 5096 - 5096

Published: May 3, 2025

A multi-unit nuclear accident is an that damages the core and occurs in multiple units simultaneously a power plant. Its massive consequences have triggered extensive studies on prevention mitigation. In this study, we are interested emergency-response teams involved management. Multiple need to interact with each other during accident-management tasks, basis of team interactions communication. Thus, propose team-communication modeling framework consisting three models, i.e., investigation model, process performance-factor model. The methods used develop model described. Also, analysis methodology provided guide application framework, case study based scenario performed confirm feasibility our study. final results four specialized models developed by applying functional resonance method (FRAM), covering specific scope scenario, functions aspects elaborated support analysis. Modeling insights collected can be applied improve accident-training scenarios, procedure/guideline development, systems.

Language: Английский

Citations

0
Using reality capture technology for efficient cost valuation and work verification of construction projects DOI Creative Commons
Godfred Fobiri, Innocent Musonda, Franco Muleya

et al.

Construction Innovation, Journal Year: 2025, Volume and Issue: 25(7), P. 50 - 75

Published: March 17, 2025

Purpose The study aims to apply reality capture technology enhance the cost valuation and work verification process of completed. Construction completed during execution phase must be evaluated periodically ascertain contractor’s financial resources invested for payment. manual is cumbersome time-consuming, subjective due human intervention often results in assumptions complicating accurate efficient project management. Claim disputes delayed payment usually arise a lack clarity on value Design/methodology/approach This used proof concept an ongoing construction assess done by using (RC) – drone acquisition point cloud data measurement extraction Works was carried out as-design digital as-built models. Findings becomes dependable, transparent, RC technology, which can offer detailed visual inspection assessment all stakeholders. Extraction quantities clouds obtained from aerial imagery captured drones. Originality/value presents practical solution integrating into workflow increase correctness, transparency, efficiency effective valuation, certification. Using potential has enhanced communication, collaboration coordination among stakeholders seamless timely approvals. lessens time contractors’ claim approval since evidence readily accessible remotely.

Language: Английский

Citations

0
Enhancing Direct Georeferencing Using Real-Time Kinematic UAVs and Structure from Motion-Based Photogrammetry for Large-Scale Infrastructure DOI Creative Commons
Soohee Han, Dongyeob Han

Drones, Journal Year: 2024, Volume and Issue: 8(12), P. 736 - 736

Published: Dec. 5, 2024

The growing demand for high-accuracy mapping and 3D modeling using unmanned aerial vehicles (UAVs) has accelerated advancements in flight dynamics, positioning accuracy, imaging technology. Structure from motion (SfM), a computer vision-based approach, is increasingly replacing traditional photogrammetry through facilitating the automation of processes such as triangulation (AT), terrain modeling, orthomosaic generation. This study examines methods to enhance accuracy SfM-based AT real-time kinematic (RTK) UAV imagery, focusing on large-scale infrastructure applications, including dam its entire basin. target area, primarily consisting homogeneous water surfaces, poses considerable challenges feature point extraction image matching, which are crucial effective SfM. To overcome these improve constraint equation was applied, incorporating weighted coordinates derived RTK data. Furthermore, oblique images were combined with nadir stabilize AT, confidence-based filtering applied clouds geometric quality. results indicate that assigning appropriate weights imagery significantly accuracy. approach presents promising UAV-based SfM-challenging, environments, thus supporting more efficient precise applications.

Language: Английский

Citations

1