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Human-In-The-Loop Remote Piloted Aerial Systems in the Environmental Monitoring
Copyright policy )The construction and development of aerial vehicle or flying robot systems with remote sensing have become a vision of environmental monitoring in agriculture, ice condition, pollution, military, and territory. The new concept of environmental monitoring is superior to satellite imagery because of its accessibility, flexibility, applicability, and economy. Resulting from the expectable advantages, aerial vehicles have been extensively researched for their potential to carry out various missions. Recently, several developments have been engaged for aerial vehicles to conduct tasks in battlefield, transportation, exploration, and disaster prevention. Although the aforementioned researches can verify the applicability of aerial vehicle systems, most aerial vehicles lack the flexibility to accomplish other than predefined tasks. Moreover, the limitations of aerial vehicle performance and photographic technique also impede the development of such system. Therefore, with the introducing of multi-vehicle system, human intelligence, novel aerial vehicle design, and real-time photogrammetry system in outdoor environments, the efficiency and quality of monitoring can be improved significantly.
ACM Computing Classification System: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ComputerApplications_COMPUTERSINOTHERSYSTEMS
Microsoft Academic Graph classification: Human-in-the-loop Image processing Haptic technology Image fusion Remote sensing Computer science Systems engineering Environmental monitoring Block diagram Photogrammetry Control system
aerial vehicle, control system, design and manufacturing, environmental monitoring, haptic feedback, human in the loop system, image processing, photogrammetry, Motor vehicles. Aeronautics. Astronautics, TL1-4050, Aerial vehicle, environmental monitoring, human-in-the-loop system, control system, haptic feedback, photogrammetry, image processing, design and manufacturing, Aerial vehicle; control system; design and manufacturing; environmental monitoring; haptic feedback; human-in-the-loop system; image processing; photogrammetry, Human-in- the-loop system
aerial vehicle, control system, design and manufacturing, environmental monitoring, haptic feedback, human in the loop system, image processing, photogrammetry, Motor vehicles. Aeronautics. Astronautics, TL1-4050, Aerial vehicle, environmental monitoring, human-in-the-loop system, control system, haptic feedback, photogrammetry, image processing, design and manufacturing, Aerial vehicle; control system; design and manufacturing; environmental monitoring; haptic feedback; human-in-the-loop system; image processing; photogrammetry, Human-in- the-loop system
ACM Computing Classification System: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ComputerApplications_COMPUTERSINOTHERSYSTEMS
Microsoft Academic Graph classification: Human-in-the-loop Image processing Haptic technology Image fusion Remote sensing Computer science Systems engineering Environmental monitoring Block diagram Photogrammetry Control system
- Riga Technical University Latvia
- Vilnius Gediminas Technical University Lithuania
- National Cheng Kung University Taiwan
- Riga Technical University Latvia
- Vilnius Gediminas Technical University Lithuania
- National Cheng Kung University Taiwan
The construction and development of aerial vehicle or flying robot systems with remote sensing have become a vision of environmental monitoring in agriculture, ice condition, pollution, military, and territory. The new concept of environmental monitoring is superior to satellite imagery because of its accessibility, flexibility, applicability, and economy. Resulting from the expectable advantages, aerial vehicles have been extensively researched for their potential to carry out various missions. Recently, several developments have been engaged for aerial vehicles to conduct tasks in battlefield, transportation, exploration, and disaster prevention. Although the aforementioned researches can verify the applicability of aerial vehicle systems, most aerial vehicles lack the flexibility to accomplish other than predefined tasks. Moreover, the limitations of aerial vehicle performance and photographic technique also impede the development of such system. Therefore, with the introducing of multi-vehicle system, human intelligence, novel aerial vehicle design, and real-time photogrammetry system in outdoor environments, the efficiency and quality of monitoring can be improved significantly.