Results 31 to 40 of about 8,695 (248)
Statistical analysis of in‐flight drone signatures
IET Radar, Sonar & Navigation, 2022 Drone‐monitoring radars typically integrate many pulses in order to improve signal to noise ratio and enable high detection performance. Over the course of this coherent processing interval (CPI), many components of the drone signature change and the ...
John Markow +2 more
doaj +1 more source
Distance and Visual Angle of Line-of-Sight of a Small Drone
Applied Sciences, 2020 Determining the distance of the line-of-sight (LOS) of a small drone is essential in both regulating drone operation and drone operator training considering public safety. A field experiment was conducted to determine the LOS distance and visual angle of
Kai Way Li, Chang Sun, Nailiang Li
doaj +1 more source
Drone identification and location tracking based on YOLOv3
工程科学学报, 2020 In recent years, increasing incidents of drone intrusion have occurred, and the drone collisions have become common. As a result, accidents may occur in densely populated areas.
Lei TAO, Tao HONG, Xu CHAO
doaj +1 more source
Using Classify-While-Scan (CWS) Technology to Enhance Unmanned Air Traffic Management (UTM)
Drones, 2022 Drone detection radar systems have been verified for supporting unmanned air traffic management (UTM). Here, we propose the concept of classify while scan (CWS) technology to improve the detection performance of drone detection radar systems and then to ...
Jiangkun Gong +4 more
doaj +1 more source
Drone-type-Set: Drone types detection benchmark for drone detection and tracking
2024 International Conference on Intelligent Systems and Computer Vision (ISCV)The Unmanned Aerial Vehicles (UAVs) market has been significantly growing and Considering the availability of drones at low-cost prices the possibility of misusing them, for illegal purposes such as drug trafficking, spying, and terrorist attacks posing high risks to national security, is rising. Therefore, detecting and tracking unauthorized drones to
AlDosari, Khloud +4 more
openaire +3 more sources
FLEDNet: Enhancing the Drone Classification in the Radio Frequency Domain
DronesResearchers are actively pursuing advancements in convolutional neural networks and their application in anti-drone systems for drone classification tasks.
Boban Sazdic-Jotic +4 more
doaj +1 more source
Detection of Potholes on Roads using a Drone [PDF]
EAI Endorsed Transactions on Energy Web, 2018 Locating potholes and repairing them is essential, but it has always been a time consuming task for the authorities. This paper presents a way that can help the authorities speed up the pothole detection process by the use of a camera-enabled Unmanned Aerial Vehicle drone.
HemaMalini B.H +3 more
openaire +2 more sources
InformationWith the rapid advancement of drone technology, the demand for the precise detection and identification of drones has been steadily increasing. Existing detection methods, such as radio frequency (RF), radar, optical, and acoustic technologies, often ...
Teng Wu +5 more
doaj +1 more source
Survey on Anti-Drone Systems: Components, Designs, and Challenges
IEEE Access, 2021 This paper presents a comprehensive survey on anti-drone systems. After drones were released for non-military usages, drone incidents in the unarmed population are gradually increasing. However, it is unaffordable to construct a military grade anti-drone
Seongjoon Park +4 more
doaj +1 more source
Long‐Term Follow‐Up of Chemotherapy‐Associated Biological Aging in Women With Early Breast Cancer
Aging and Cancer, EarlyView.Women threated with adjuvant chemotherapy for early breast cancer have sustained long‐term increase in p16INK4a,, a robust marker of cell senescence, suggesting a chemotherapy‐associated age acceleration. p16INK4a as well as other biomarkers may identify patients at greatest risk for senescence‐related diseases of aging.
Hyman B. Muss +12 more
wiley +1 more source