NSTL国家科技图书文献中心

1. Geofence-Based Boundary Violation Detection Algorithms in Unmanned Aerial Vehicles NSTL国家科技图书文献中心

Parul Arora | Suman Deswal - 《International journal of communication systems》 - 2025,38(4) - e6035.1～e6035.11 - 共11页

摘要： location-based services. Unmanned* aerial vehicles (UAVs* | regulating these vehicles* and constraints a UAV to enter* | Geofence is a virtual boundary that helps in | ) fly without a pilot, and geofence helps in | the boundary of other UAV. However, these have to go

关键词： boundary violation | convex hull | geofence | location tracking | ray casting | unmanned aerial vehicles

2. Unmanned aerial vehicles in fisheries and aquaculture: a comprehensive overview NSTL国家科技图书文献中心

Parvaiz Ahmad Ganie | Ananya Khatei ... - 《Environmental Monitoring and Assessment》 - 2025,197(5) - 503.1～503.20 - 共20页

摘要： management. Unmanned* aerial vehicles (UAVs) have emerged as* | The fishery and aquaculture sectors are | essential to the global food supply but face multiple | challenges, including security, fish welfare, and feeding | a groundbreaking technology in these fields

关键词： Unmanned aerial vehicles (UAVs) | Fishery management | Aquaculture monitoring | Fish stock assessment | Sustainable aquaculture

3. RCS: a fast path planning algorithm for unmanned aerial vehicles NSTL国家科技图书文献中心

Mohammad Reza,Ranjba... | Mostafa,Nouri-Baygi - 《Soft computing》 - 2025,29(1) - 275～298 - 共24页

摘要： applications of unmanned* aerial vehicles (UAVs), one of the* | autonomous vehicles. In recent years, with the increase in | Abstract Path planning is a major problem in | main challenges is path planning, particularly in | adversarial environments. In this paper, we consider the

关键词： Path planning | Unmanned aerial vehicles | Polygonal domains | Maximum turning angle | Minimum route leg length

4. Formation Control of Multiple Rotorcraft Unmanned Aerial Vehicles With Nonlinear Flight Dynamics NSTL国家科技图书文献中心

Jun-Young An | Chang-Joo Kim - 《International Journal of Control,Automation,and Systems》 - 2025,23(3) - 824～839 - 共16页

摘要： aerial vehicles (RUAVs), addressing the challenges | control methods for large-scale rotary-wing unmanned | This paper presents two novel formation | posed by nonlinear flight dynamics. The virtual tigid | -body kinematics-based formation control method

关键词： Formation flight control | Incremental backstepping control | Rotorcraft unmanned aerial vehicles

5. Power consumption model for Unmanned Aerial Vehicles using Recurrent Neural Network techniques NSTL国家科技图书文献中心

Amylia Ait Saadi | Bikram Pratim Bhuyan ... - 《Aerospace science and technology》 - 2025,157(Feb.) - 109819.1～109819.22 - 共22页

摘要：Unmanned Aerial Vehicles (UAVs) have become | increasingly integral across diverse sectors, necessitating | accurate power consumption modeling to optimize flight | operations and ensure reliability. Traditional approaches | often fail to capture the intricate, non-linear

关键词： Unmanned Aerial Vehicles (UAVs) | Power consumption modeling | Machine learning | Deep learning | Activation functions | Self-attention mechanism

6. Motion planning system for unmanned aerial vehicles in dynamic three-dimensional space: a machine learning approach NSTL国家科技图书文献中心

Mohammad H.,Garibeh | Sameer,Al-Dahidi ... - 《Neural computing & applications》 - 2025,37(5) - 3733～3757 - 共25页

摘要：Unmanned aerial vehicles (UAVs) have been | highly enhanced in the last decade, targeting the | deployment of UAV technology in different new applications | in many fields. However, the motion control of the | UAV during autonomous flight is still under

关键词： Unmanned aerial vehicles | Intelligent motion control | Artificial potential field | Neural network | Three-dimensional dynamic environments

7. UAV-BIM-BEM: An automatic unmanned aerial vehicles-based building energy model generation platform NSTL国家科技图书文献中心

Guo H. | Chen Z.... - 《Energy and buildings》 - 2025,328(Feb.) - 1.1～1.12 - 共12页

摘要： information. This study introduced an unmanned aerial | vehicles-based (UAV-based) automated platform for | © 2024 Elsevier B.V.Many existing and aging | buildings were in urgent need of upgrades and renovations | , but lack accurate geometric and energy consumption

关键词： AutoBPS | Building energy model | Existing building | Retrofit analysis | Unmanned aerial vehicles

8. A review of powering unmanned aerial vehicles by clean and renewable energy technologies NSTL国家科技图书文献中心

Gubran A.Q. Abdulrah... | Naef A.A. Qasem ... - 《Sustainable energy technologies and assessments》 - 2025,73(Jan.) - 104150.1～104150.19 - 共19页

摘要： renewable power systems for unmanned* aerial vehicles (UAVs* | This paper comprehensively reviews | ), including batteries, fuel cells, solar photovoltaic cells | , and hybrid configurations, from historical | perspectives to recent advances. The study evaluates these

关键词： Unmanned aerial vehicles | Fuel cells | Battery | Photovoltaic cells | Hybrid power sources

9. An autonomous differential evolution based on reinforcement learning for cooperative countermeasures of unmanned aerial vehicles NSTL国家科技图书文献中心

Cao, Zijian | Xu, Kai ... - 《Applied Soft Computing》 - 2025,169 - 共27页

摘要： cooperative countermeasures of unmanned* aerial vehicles were* | In recent years, reinforcement learning has | been used to improve differential evolution | algorithms due to its outstanding performance in strategy | selection. However, most existing improved algorithms

关键词： Differential evolution | Reinforcement learning | Q-learning | Cooperative countermeasures | Unmanned aerial vehicles

10. Pothole segmentation and area estimation with thermal imaging using deep neural networks and unmanned aerial vehicles NSTL国家科技图书文献中心

Joseph Meier | Ethan Welborn ... - 《Machine Vision and Applications》 - 2025,36(1) - 17.1～17.12 - 共12页

摘要： aerial vehicle (UAV). Our prior research generated two | transportation and autonomous vehicles. To prevent vehicle | estimation on RGB and thermal imaging using an unmanned | utilizing aerial* perspectives. After training a total of* | In this research we tackle a problem common in

摘要： location-based services. Unmanned* aerial vehicles (UAVs* | regulating these vehicles* and constraints a UAV to enter* | Geofence is a virtual boundary that helps in | ) fly without a pilot, and geofence helps in | the boundary of other UAV. However, these have to go

关键词： boundary violation | convex hull | geofence | location tracking | ray casting | unmanned aerial vehicles

摘要： management. Unmanned* aerial vehicles (UAVs) have emerged as* | The fishery and aquaculture sectors are | essential to the global food supply but face multiple | challenges, including security, fish welfare, and feeding | a groundbreaking technology in these fields

关键词： Unmanned aerial vehicles (UAVs) | Fishery management | Aquaculture monitoring | Fish stock assessment | Sustainable aquaculture

摘要： applications of unmanned* aerial vehicles (UAVs), one of the* | autonomous vehicles. In recent years, with the increase in | Abstract Path planning is a major problem in | main challenges is path planning, particularly in | adversarial environments. In this paper, we consider the

关键词： Path planning | Unmanned aerial vehicles | Polygonal domains | Maximum turning angle | Minimum route leg length

摘要： aerial vehicles (RUAVs), addressing the challenges | control methods for large-scale rotary-wing unmanned | This paper presents two novel formation | posed by nonlinear flight dynamics. The virtual tigid | -body kinematics-based formation control method

关键词： Formation flight control | Incremental backstepping control | Rotorcraft unmanned aerial vehicles

摘要：Unmanned Aerial Vehicles (UAVs) have become | increasingly integral across diverse sectors, necessitating | accurate power consumption modeling to optimize flight | operations and ensure reliability. Traditional approaches | often fail to capture the intricate, non-linear

关键词： Unmanned Aerial Vehicles (UAVs) | Power consumption modeling | Machine learning | Deep learning | Activation functions | Self-attention mechanism

摘要：Unmanned aerial vehicles (UAVs) have been | highly enhanced in the last decade, targeting the | deployment of UAV technology in different new applications | in many fields. However, the motion control of the | UAV during autonomous flight is still under

关键词： Unmanned aerial vehicles | Intelligent motion control | Artificial potential field | Neural network | Three-dimensional dynamic environments

摘要： information. This study introduced an unmanned aerial | vehicles-based (UAV-based) automated platform for | © 2024 Elsevier B.V.Many existing and aging | buildings were in urgent need of upgrades and renovations | , but lack accurate geometric and energy consumption

关键词： AutoBPS | Building energy model | Existing building | Retrofit analysis | Unmanned aerial vehicles

摘要： renewable power systems for unmanned* aerial vehicles (UAVs* | This paper comprehensively reviews | ), including batteries, fuel cells, solar photovoltaic cells | , and hybrid configurations, from historical | perspectives to recent advances. The study evaluates these

关键词： Unmanned aerial vehicles | Fuel cells | Battery | Photovoltaic cells | Hybrid power sources

摘要： cooperative countermeasures of unmanned* aerial vehicles were* | In recent years, reinforcement learning has | been used to improve differential evolution | algorithms due to its outstanding performance in strategy | selection. However, most existing improved algorithms

关键词： Differential evolution | Reinforcement learning | Q-learning | Cooperative countermeasures | Unmanned aerial vehicles

摘要： aerial vehicle (UAV). Our prior research generated two | transportation and autonomous vehicles. To prevent vehicle | estimation on RGB and thermal imaging using an unmanned | utilizing aerial* perspectives. After training a total of* | In this research we tackle a problem common in

关键词： Pothole detection | Thermal vision | Segmentation | Area estimation | Deep neural networks | Unmanned aerial vehicles

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： location-based services. Unmanned aerial vehicles (UAVs | regulating these vehicles and constraints a UAV to enter | Geofence is a virtual boundary that helps in | ) fly without a pilot, and geofence helps in | the boundary of other UAV. However, these have to go

关键词： boundary violation | convex hull | geofence | location tracking | ray casting | unmanned aerial vehicles

摘要： management. Unmanned aerial vehicles (UAVs) have emerged as | The fishery and aquaculture sectors are | essential to the global food supply but face multiple | challenges, including security, fish welfare, and feeding | a groundbreaking technology in these fields

关键词： Unmanned aerial vehicles (UAVs) | Fishery management | Aquaculture monitoring | Fish stock assessment | Sustainable aquaculture

摘要： applications of unmanned aerial vehicles (UAVs), one of the | autonomous vehicles. In recent years, with the increase in | Abstract Path planning is a major problem in | main challenges is path planning, particularly in | adversarial environments. In this paper, we consider the

关键词： Path planning | Unmanned aerial vehicles | Polygonal domains | Maximum turning angle | Minimum route leg length

摘要： aerial vehicles (RUAVs), addressing the challenges | control methods for large-scale rotary-wing unmanned | This paper presents two novel formation | posed by nonlinear flight dynamics. The virtual tigid | -body kinematics-based formation control method

关键词： Formation flight control | Incremental backstepping control | Rotorcraft unmanned aerial vehicles

摘要：Unmanned Aerial Vehicles (UAVs) have become | increasingly integral across diverse sectors, necessitating | accurate power consumption modeling to optimize flight | operations and ensure reliability. Traditional approaches | often fail to capture the intricate, non-linear

关键词： Unmanned Aerial Vehicles (UAVs) | Power consumption modeling | Machine learning | Deep learning | Activation functions | Self-attention mechanism

摘要：Unmanned aerial vehicles (UAVs) have been | highly enhanced in the last decade, targeting the | deployment of UAV technology in different new applications | in many fields. However, the motion control of the | UAV during autonomous flight is still under

关键词： Unmanned aerial vehicles | Intelligent motion control | Artificial potential field | Neural network | Three-dimensional dynamic environments

摘要： information. This study introduced an unmanned aerial | vehicles-based (UAV-based) automated platform for | © 2024 Elsevier B.V.Many existing and aging | buildings were in urgent need of upgrades and renovations | , but lack accurate geometric and energy consumption

关键词： AutoBPS | Building energy model | Existing building | Retrofit analysis | Unmanned aerial vehicles

摘要： renewable power systems for unmanned aerial vehicles (UAVs | This paper comprehensively reviews | ), including batteries, fuel cells, solar photovoltaic cells | , and hybrid configurations, from historical | perspectives to recent advances. The study evaluates these

关键词： Unmanned aerial vehicles | Fuel cells | Battery | Photovoltaic cells | Hybrid power sources

摘要： cooperative countermeasures of unmanned aerial vehicles were | In recent years, reinforcement learning has | been used to improve differential evolution | algorithms due to its outstanding performance in strategy | selection. However, most existing improved algorithms

关键词： Differential evolution | Reinforcement learning | Q-learning | Cooperative countermeasures | Unmanned aerial vehicles

摘要： aerial vehicle (UAV). Our prior research generated two | transportation and autonomous vehicles. To prevent vehicle | estimation on RGB and thermal imaging using an unmanned | utilizing aerial perspectives. After training a total of | In this research we tackle a problem common in

关键词： Pothole detection | Thermal vision | Segmentation | Area estimation | Deep neural networks | Unmanned aerial vehicles

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： location-based services. Unmanned* aerial vehicles (UAVs* | regulating these vehicles* and constraints a UAV to enter* | Geofence is a virtual boundary that helps in | ) fly without a pilot, and geofence helps in | the boundary of other UAV. However, these have to go

摘要： management. Unmanned* aerial vehicles (UAVs) have emerged as* | The fishery and aquaculture sectors are | essential to the global food supply but face multiple | challenges, including security, fish welfare, and feeding | a groundbreaking technology in these fields

摘要： applications of unmanned* aerial vehicles (UAVs), one of the* | autonomous vehicles. In recent years, with the increase in | Abstract Path planning is a major problem in | main challenges is path planning, particularly in | adversarial environments. In this paper, we consider the

摘要： renewable power systems for unmanned* aerial vehicles (UAVs* | This paper comprehensively reviews | ), including batteries, fuel cells, solar photovoltaic cells | , and hybrid configurations, from historical | perspectives to recent advances. The study evaluates these

摘要： cooperative countermeasures of unmanned* aerial vehicles were* | In recent years, reinforcement learning has | been used to improve differential evolution | algorithms due to its outstanding performance in strategy | selection. However, most existing improved algorithms

摘要： aerial vehicle (UAV). Our prior research generated two | transportation and autonomous vehicles. To prevent vehicle | estimation on RGB and thermal imaging using an unmanned | utilizing aerial* perspectives. After training a total of* | In this research we tackle a problem common in