NSTL国家科技图书文献中心

1. A 2-UAV: Application-Aware resilient edge-assisted UAV networks NSTL国家科技图书文献中心

Coletta A. | Giorgi F.... - 《Computer networks》 - 2025,256(Jan.) - 1.1～1.14 - 共14页

摘要：) tasks. In multi-hop UAV* networks, the successful* | challenges, we propose a novel A 2-UAV* framework that* | each UAV. Our formulation explicitly takes into | A 2-UAV* through simulation and real-world* | -UAV* attains on average around 38% more accomplished*

关键词： Edge computing | Network management | UAV networks

2. A Review of UAV Swarms for Musical Performance NSTL国家科技图书文献中心

Li Jiang | Ke Ai ... - 《Trends in Advanced Unmanned Aerial Systems》 - International Conference on Advanced Unmanned Aerial Systems - 2025, - 386～395 - 共10页

摘要：With the continuous progress of UAV* swarm* | technology, the application of UAV* in the field of music* | combination of UAV* swarm performance and music makes the* | the UAV* swarm performance, the realization path of* | UAV application in the field of music performance

关键词： Multi-agent | UAV swarm | UAV formation | Consistency | UAV music performance

3. Research on IR Spectral Characteristics Testing of UAV NSTL国家科技图书文献中心

Wang Lv | Yuan Liang ... - 《Tenth Symposium on Novel Optoelectronic Detection Technology and Applications,Part Three of Three Parts》 - Symposium on Novel Optoelectronic Detection Technology and Applications - 2025, - 135115Y.1～135115Y.6 - 共6页

摘要： aerial vehicle (UAV) reconnaissance and attack widely | on the IR spectral characteristics testing of UAV | radiation characteristics of UAV, an IR radiation | tests on a certain type of UAV* and obtained IR thermal* | In response to the new situation of unmanned

关键词： UAV | Spectral characteristics | Radiation intensity

4. Overview of cooperative UAV swarm localization NSTL国家科技图书文献中心

Runzong Shangguan | Lin Lin ... - 《International Conference on Remote Sensing and Digital Earth (RSDE 2024)》 - International Conference on Remote Sensing and Digital Earth - 2025, - 1351410.1～1351410.5 - 共5页

摘要：The coordinated operation of UAV* Swarm* | stable cooperative positioning solution for UAV* Swarm* | -sensor fusion specific to UAV* Swarm. The study also* | for the development of multi-UAV* cooperative* | enhances positioning accuracy, reduces individual errors

关键词： UAV cluster | Collaborative positioning | Positioning optimization

5. UAV Formation Based on Intelligent Music Recognition NSTL国家科技图书文献中心

Li Jiang | Jing Li ... - 《Trends in Advanced Unmanned Aerial Systems》 - International Conference on Advanced Unmanned Aerial Systems - 2025, - 396～412 - 共17页

摘要：. This paper discusses intelligent music and UAV | exploration of UAV* formation performance, and further* | intelligent music recognition technology, and carry out UAV | with the research of UAV* music type formation* | the use of advanced algorithms and sensors, the UAV

关键词： Music and technology | Music recognition | UAV formation

6. Radiance Field Learners As UAV First-Person Viewers NSTL国家科技图书文献中心

Liqi Yan | Qifan Wang ... - 《Computer Vision - ECCV 2024,Part LXI》 - European Conference on Computer Vision - 2025, - 88～107 - 共20页

摘要： requiring an extensive array of views for supervision. UAV | of UAV* video spatial scales. Additionally, due to* | to generate FPV perspectives from UAV* footage* | environments, in the UAV* domain, differing significantly from* | the UAV* flying space, outperforming state-of-the-art*

关键词： Computer vision | Spatial perception | Neural radiance field | First-Person view (FPV) | Unmanned aerial vehicle (UAV)

7. UAV-MSSH: A novel UAV photogrammetry-based framework for mining surface three-dimensional movement basin monitoring NSTL国家科技图书文献中心

Zhu, Yuanhao | Yan, Yueguan ... - 《Measurement》 - 2025,242PB - 115944～ - 共13页

摘要： UAV photogrammetry-based framework for mining | , named UAV-MSSH. This framework consists of two | UAV oblique photogrammetry method at a working face | proposed UAV-MSSH framework in mining surface monitoring | methodology for UAV* monitoring in the mining field, which is*

关键词： Mining | Surface three-dimensional movement basin | UAV | Oblique photogrammetry | Monitoring framework

8. An Improved UAV Countermeasure Strategy Based on GPS Spoofing NSTL国家科技图书文献中心

Jun Wang | Dongfen Li ... - 《Trends in Advanced Unmanned Aerial Systems》 - International Conference on Advanced Unmanned Aerial Systems - 2025, - 370～378 - 共9页

摘要： Aerial Vehicle (UAV) outfitted with an onboard computer | sensitive areas from illegal UAV* incursions.* | autonomous behavior control. The approach uses a Unmanned | This paper introduces a strategy to manipulate | the flight paths of illegal UAVs by integrating

关键词： UAV countermeasure | GPS spoofing | Software defined radio

9. Multi-modal Cooperative Perception of Constrained Multi-UAV Platform NSTL国家科技图书文献中心

Yiheng Zhang | Yuanzhe Cui ... - 《Intelligent Robotics and Applications,Part IX》 - International Conference on Intelligent Robotics and Applications - 2025, - 86～100 - 共15页

摘要：The constrained multi-UAV* platform is composed* | . Additionally, real-time perception is crucial for various UAV | collaborative sensing method for multi-UAV* systems* | multi-UAV* decision layer utilizes a Kalman Filter to* | of multiple unmanned* aerial vehicles (UAVs*

关键词： Multi-UAV perception | Sensor fusion | Target detection

10. Enhanced visual detection of litchi fruit in complex natural environments based on unmanned aerial vehicle (UAV) remote sensing NSTL国家科技图书文献中心

Changjiang,Liang | Juntao,Liang ... - 《Precision Agriculture》 - 2025,26(1) - 1～24 - 共24页

摘要： proposing a method that combines unmanned aerial vehicle | (UAV) remote sensing and deep learning for litchi | Abstract Rapid and accurate detection of | fruits is crucial for estimating yields and making | scientific decisions in litchi orchards. However, litchis

摘要：) tasks. In multi-hop UAV* networks, the successful* | challenges, we propose a novel A 2-UAV* framework that* | each UAV. Our formulation explicitly takes into | A 2-UAV* through simulation and real-world* | -UAV* attains on average around 38% more accomplished*

关键词： Edge computing | Network management | UAV networks

摘要：With the continuous progress of UAV* swarm* | technology, the application of UAV* in the field of music* | combination of UAV* swarm performance and music makes the* | the UAV* swarm performance, the realization path of* | UAV application in the field of music performance

关键词： Multi-agent | UAV swarm | UAV formation | Consistency | UAV music performance

摘要： aerial vehicle (UAV) reconnaissance and attack widely | on the IR spectral characteristics testing of UAV | radiation characteristics of UAV, an IR radiation | tests on a certain type of UAV* and obtained IR thermal* | In response to the new situation of unmanned

关键词： UAV | Spectral characteristics | Radiation intensity

摘要：The coordinated operation of UAV* Swarm* | stable cooperative positioning solution for UAV* Swarm* | -sensor fusion specific to UAV* Swarm. The study also* | for the development of multi-UAV* cooperative* | enhances positioning accuracy, reduces individual errors

关键词： UAV cluster | Collaborative positioning | Positioning optimization

摘要：. This paper discusses intelligent music and UAV | exploration of UAV* formation performance, and further* | intelligent music recognition technology, and carry out UAV | with the research of UAV* music type formation* | the use of advanced algorithms and sensors, the UAV

关键词： Music and technology | Music recognition | UAV formation

摘要： requiring an extensive array of views for supervision. UAV | of UAV* video spatial scales. Additionally, due to* | to generate FPV perspectives from UAV* footage* | environments, in the UAV* domain, differing significantly from* | the UAV* flying space, outperforming state-of-the-art*

关键词： Computer vision | Spatial perception | Neural radiance field | First-Person view (FPV) | Unmanned aerial vehicle (UAV)

摘要： UAV photogrammetry-based framework for mining | , named UAV-MSSH. This framework consists of two | UAV oblique photogrammetry method at a working face | proposed UAV-MSSH framework in mining surface monitoring | methodology for UAV* monitoring in the mining field, which is*

关键词： Mining | Surface three-dimensional movement basin | UAV | Oblique photogrammetry | Monitoring framework

摘要： Aerial Vehicle (UAV) outfitted with an onboard computer | sensitive areas from illegal UAV* incursions.* | autonomous behavior control. The approach uses a Unmanned | This paper introduces a strategy to manipulate | the flight paths of illegal UAVs by integrating

关键词： UAV countermeasure | GPS spoofing | Software defined radio

摘要：The constrained multi-UAV* platform is composed* | . Additionally, real-time perception is crucial for various UAV | collaborative sensing method for multi-UAV* systems* | multi-UAV* decision layer utilizes a Kalman Filter to* | of multiple unmanned* aerial vehicles (UAVs*

关键词： Multi-UAV perception | Sensor fusion | Target detection

摘要： proposing a method that combines unmanned aerial vehicle | (UAV) remote sensing and deep learning for litchi | Abstract Rapid and accurate detection of | fruits is crucial for estimating yields and making | scientific decisions in litchi orchards. However, litchis

关键词： UAV | Object detection | YOLOv7 | Litchi fruit | Real-ESRGAN

4008-161-200 800-990-8900

国家科技图书文献中心

摘要：) tasks. In multi-hop UAV networks, the successful | challenges, we propose a novel A 2-UAV framework that | each UAV. Our formulation explicitly takes into | A 2-UAV through simulation and real-world | -UAV attains on average around 38% more accomplished

关键词： Edge computing | Network management | UAV networks

摘要：With the continuous progress of UAV swarm | technology, the application of UAV in the field of music | combination of UAV swarm performance and music makes the | the UAV swarm performance, the realization path of | UAV application in the field of music performance

关键词： Multi-agent | UAV swarm | UAV formation | Consistency | UAV music performance

摘要： aerial vehicle (UAV) reconnaissance and attack widely | on the IR spectral characteristics testing of UAV | radiation characteristics of UAV, an IR radiation | tests on a certain type of UAV and obtained IR thermal | In response to the new situation of unmanned

关键词： UAV | Spectral characteristics | Radiation intensity

摘要：The coordinated operation of UAV Swarm | stable cooperative positioning solution for UAV Swarm | -sensor fusion specific to UAV Swarm. The study also | for the development of multi-UAV cooperative | enhances positioning accuracy, reduces individual errors

关键词： UAV cluster | Collaborative positioning | Positioning optimization

摘要：. This paper discusses intelligent music and UAV | exploration of UAV formation performance, and further | intelligent music recognition technology, and carry out UAV | with the research of UAV music type formation | the use of advanced algorithms and sensors, the UAV

关键词： Music and technology | Music recognition | UAV formation

摘要： requiring an extensive array of views for supervision. UAV | of UAV video spatial scales. Additionally, due to | to generate FPV perspectives from UAV footage | environments, in the UAV domain, differing significantly from | the UAV flying space, outperforming state-of-the-art

关键词： Computer vision | Spatial perception | Neural radiance field | First-Person view (FPV) | Unmanned aerial vehicle (UAV)

摘要： UAV photogrammetry-based framework for mining | , named UAV-MSSH. This framework consists of two | UAV oblique photogrammetry method at a working face | proposed UAV-MSSH framework in mining surface monitoring | methodology for UAV monitoring in the mining field, which is

关键词： Mining | Surface three-dimensional movement basin | UAV | Oblique photogrammetry | Monitoring framework

摘要： Aerial Vehicle (UAV) outfitted with an onboard computer | sensitive areas from illegal UAV incursions. | autonomous behavior control. The approach uses a Unmanned | This paper introduces a strategy to manipulate | the flight paths of illegal UAVs by integrating

关键词： UAV countermeasure | GPS spoofing | Software defined radio

摘要：The constrained multi-UAV platform is composed | . Additionally, real-time perception is crucial for various UAV | collaborative sensing method for multi-UAV systems | multi-UAV decision layer utilizes a Kalman Filter to | of multiple unmanned aerial vehicles (UAVs

关键词： Multi-UAV perception | Sensor fusion | Target detection

摘要： proposing a method that combines unmanned aerial vehicle | (UAV) remote sensing and deep learning for litchi | Abstract Rapid and accurate detection of | fruits is crucial for estimating yields and making | scientific decisions in litchi orchards. However, litchis

关键词： UAV | Object detection | YOLOv7 | Litchi fruit | Real-ESRGAN

4008-161-200 800-990-8900

国家科技图书文献中心

摘要：) tasks. In multi-hop UAV* networks, the successful* | challenges, we propose a novel A 2-UAV* framework that* | each UAV. Our formulation explicitly takes into | A 2-UAV* through simulation and real-world* | -UAV* attains on average around 38% more accomplished*

摘要：With the continuous progress of UAV* swarm* | technology, the application of UAV* in the field of music* | combination of UAV* swarm performance and music makes the* | the UAV* swarm performance, the realization path of* | UAV application in the field of music performance

摘要： aerial vehicle (UAV) reconnaissance and attack widely | on the IR spectral characteristics testing of UAV | radiation characteristics of UAV, an IR radiation | tests on a certain type of UAV* and obtained IR thermal* | In response to the new situation of unmanned

摘要：The coordinated operation of UAV* Swarm* | stable cooperative positioning solution for UAV* Swarm* | -sensor fusion specific to UAV* Swarm. The study also* | for the development of multi-UAV* cooperative* | enhances positioning accuracy, reduces individual errors

摘要：. This paper discusses intelligent music and UAV | exploration of UAV* formation performance, and further* | intelligent music recognition technology, and carry out UAV | with the research of UAV* music type formation* | the use of advanced algorithms and sensors, the UAV

摘要： requiring an extensive array of views for supervision. UAV | of UAV* video spatial scales. Additionally, due to* | to generate FPV perspectives from UAV* footage* | environments, in the UAV* domain, differing significantly from* | the UAV* flying space, outperforming state-of-the-art*

摘要： UAV photogrammetry-based framework for mining | , named UAV-MSSH. This framework consists of two | UAV oblique photogrammetry method at a working face | proposed UAV-MSSH framework in mining surface monitoring | methodology for UAV* monitoring in the mining field, which is*

摘要： Aerial Vehicle (UAV) outfitted with an onboard computer | sensitive areas from illegal UAV* incursions.* | autonomous behavior control. The approach uses a Unmanned | This paper introduces a strategy to manipulate | the flight paths of illegal UAVs by integrating

摘要：The constrained multi-UAV* platform is composed* | . Additionally, real-time perception is crucial for various UAV | collaborative sensing method for multi-UAV* systems* | multi-UAV* decision layer utilizes a Kalman Filter to* | of multiple unmanned* aerial vehicles (UAVs*