Structural Analysis of a Fault-related Anticline in the Southwestern Gyeonggi Massif, Korea Using an Unmanned Aerial Vehicle and Field Surveys: The Role of Rejoining Splays in a Duplex-like Structure

2020 ◽  
Vol 102 (sp1) ◽  
Author(s):  
Inho Kim ◽  
Seung-Ik Park ◽  
Hong-Jin Lee
Keyword(s):  
Structural Analysis ◽  
Unmanned Aerial Vehicle ◽  
Field Surveys ◽  
Aerial Vehicle ◽  
Gyeonggi Massif

The Role of Affective Computing for Improving Situation Awareness in Unmanned Aerial Vehicle Operations

2019 ◽  
pp. 295-305
Author(s):  
Jonathan Bishop
Keyword(s):  
Missing Data ◽  
Cognitive Load ◽  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Situation Awareness ◽  
Affective Computing ◽  
Affect Recognition ◽  
Aerial Vehicles ◽  
Aerial Vehicle

Unmanned aerial vehicles (UAVs), commonly known as drones, are a robotic form of military aircraft that are remotely operated by humans. Due to lack of situation awareness, such technology has led to the deaths of civilians through the inaccurate targeting of missile or gun attacks. This chapter presents the case for how a patented invention can be used to reduce civilian casualties through attaching an affect recognition sensor to a UAV that uses a database of strategies, tactics and commands to better instruct fighter pilots on how to respond while in combat so as to avoid misinterpreting civilians as combatants. The chapter discusses how this system, called VoisJet, can reduce many of the difficulties that come about for UAV pilots, including reducing cognitive load and opportunity for missing data. The chapter concludes that using UAVs fitted with VoisJet could allow for the reduction of the size of standing armies so that defence budgets are not overstretched outside of peacetime.

The Role of Affective Computing for Improving Situation Awareness in Unmanned Aerial Vehicle Operations

2015 ◽  
pp. 404-414
Author(s):  
Jonathan Bishop
Keyword(s):  
Missing Data ◽  
Cognitive Load ◽  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Situation Awareness ◽  
Affective Computing ◽  
Affect Recognition ◽  
Aerial Vehicles ◽  
Aerial Vehicle

Unmanned aerial vehicles (UAVs), commonly known as drones, are a robotic form of military aircraft that are remotely operated by humans. Due to lack of situation awareness, such technology has led to the deaths of civilians through the inaccurate targeting of missile or gun attacks. This chapter presents the case for how a patented invention can be used to reduce civilian casualties through attaching an affect recognition sensor to a UAV that uses a database of strategies, tactics and commands to better instruct fighter pilots on how to respond while in combat so as to avoid misinterpreting civilians as combatants. The chapter discusses how this system, called VoisJet, can reduce many of the difficulties that come about for UAV pilots, including reducing cognitive load and opportunity for missing data. The chapter concludes that using UAVs fitted with VoisJet could allow for the reduction of the size of standing armies so that defence budgets are not overstretched outside of peacetime.

scholarly journals Investigating the Role of Meteorological Factors in the Vertical Variation in PM2.5 by Unmanned Aerial Vehicle Measurement

2019 ◽  
Vol 19 (7) ◽  
pp. 1493-1507 ◽  
Author(s):  
Si-Jia Lu ◽  
Dongsheng Wang ◽  
Zhanyong Wang ◽  
Bai Li ◽  
Zhong-Ren Peng ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Meteorological Factors ◽  
Vertical Variation ◽  
Aerial Vehicle

The Role of Human Causal Factors in U.S. Army Unmanned Aerial Vehicle Accidents

2004 ◽  
Author(s):  
Sharon D. Manning ◽  
Clarence E. Rash ◽  
Patricia A. LeDuc ◽  
Robert K. Noback ◽  
Joseph McKeon
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Causal Factors ◽  
Vehicle Accidents ◽  
Aerial Vehicle

scholarly journals Analysis by UAV Digital Photogrammetry of Folds and Related Fractures in the Monte Antola Flysch Formation (Ponte Organasco, Italy)

Geosciences ◽  
2018 ◽  
Vol 8 (8) ◽  
pp. 299 ◽  
Author(s):  
Niccolò Menegoni ◽  
Claudia Meisina ◽  
Cesare Perotti ◽  
Matteo Crozi
Keyword(s):  
Structural Analysis ◽  
Unmanned Aerial Vehicle ◽  
Northern Apennines ◽  
Digital Photogrammetry ◽  
Rock Outcrops ◽  
Deformation Structures ◽  
Structural Measures ◽  
Aerial Vehicle ◽  
Points Of View ◽  
Digital Outcrop

The deformation structures (folds and fractures) affecting Monte Antola flysch formation in the area of Ponte Organasco (Northern Apennines-Italy) were analyzed by Unmanned Aerial Vehicle Digital Photogrammetry (UAVDP). This technique allowed the realization of Digital Outcrop Models (DOMs) interpreted in a stereoscopic environment by collecting a large number of digital structural measures (strata, fractures and successively fold axes and axial planes). In particular, by UAVDP was possible to analyze the relationships between folds and fractures all along the study structures. The structural analysis revealed the presence of a series of NE-vergent folds characterized by a typical Apenninic trend and affected by four main sets of fractures. Fractures are always sub-orthogonal to the bedding, maintains constant angular relationships with the bedding and seems linked to the folding deformation. The study shows that the UAVDP technique can overcome the main limitations of field structural analysis such as the scarce presence and the inaccessibility (total or partial) of rock outcrops and allows for acquiring images of rock outcrops at a detailed scale from user-inaccessible positions and different points of view and analyze inaccessible parts of outcrops.

scholarly journals Structural Optimization of Frame of the Multi-Rotor Unmanned Aerial Vehicle through Computational Structural Analysis

2021 ◽  
Vol 1849 (1) ◽  
pp. 012004
Author(s):  
V Aswin Kumar ◽  
M Sivaguru ◽  
B Rohini Janaki ◽  
K S Sumanth Eswar ◽  
P Kiran ◽  
...  
Keyword(s):  
Structural Analysis ◽  
Structural Optimization ◽  
Unmanned Aerial Vehicle ◽  
Aerial Vehicle
Sign in / Sign up

Export Citation Format

Share Document