Results 21 to 30 of about 12,860 (259)

Optimization of False Target Jamming against UAV Detection

Drones, 2022
Unmanned aerial vehicles (UAVs) have been widely used for target detection in modern battlefields. From the viewpoint of the opponents, false target jamming is an effective approach to decrease the UAV detection ability or probability, but currently ...
Zheng-Lian Su, Xun-Lin Jiang, Ning Li, Hai-Feng Ling, Yu-Jun Zheng   +4 more
doaj   +1 more source

Knowledge Distillation-Based GPS Spoofing Detection for Small UAV

Future Internet, 2023
As a core component of small unmanned aerial vehicles (UAVs), GPS is playing a critical role in providing localization for UAV navigation. UAVs are an important factor in the large-scale deployment of the Internet of Things (IoT) and cyber–physical ...
Yingying Ren, Ryan D. Restivo, Wenkai Tan, Jian Wang, Yongxin Liu, Bin Jiang, Huihui Wang, Houbing Song   +7 more
doaj   +1 more source

Object Detection and Tracking with Autonomous UAV

CoRR, 2022
In this paper, a combat Unmanned Air Vehicle (UAV) is modeled in the simulation environment. The rotary wing UAV is successfully performed various tasks such as locking on the targets, tracking, and sharing the relevant data with surrounding vehicles.
A. Huzeyfe Demir, Berke Yavas, Mehmet Yazici, Dogukan Aksu, M. Ali Aydin   +4 more
openaire   +2 more sources

A new unmanned aerial vehicle intrusion detection method based on belief rule base with evidential reasoning

Heliyon, 2022
With the growing security demands in the public, civil and military fields, unmanned aerial vehicle (UAV) intrusion detection has attracted increasing attention.
Yawen Xie, Wei He, Hailong Zhu, Ruohan Yang, Quanqi Mu   +4 more
doaj   +1 more source

A Survey of UAV Visible-Light Object Detection Based on Deep Learning [PDF]

Hangkong bingqi
With the rapid development of artificial intelligence, visible-light object detection, as an important part of computer vision technology, has been widely used in the unmanned aerial vehicle (UAV) reconnaissance field.
Liu Keshun, Zuo Xiaotong, Zhang Yuhua, Wang Changlong, Yang Sen
doaj   +1 more source

CWSF radar for detecting small UAVs [PDF]

2017 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS), 2017
Since the number of flying small unmanned aerial vehicles (UAV) is expected to increase dramatically in the next years, their radar detection has become a priority. In this paper Continuous Wave Step Frequency (CWSF) is evaluated as possible modulation for radar sensors aimed to detect small quadcopters at short range.
PIERACCINI, MASSIMILIANO, MICCINESI, LAPO   +1 more
openaire   +2 more sources

Live zero value detection technology of insulator string based on UAV

电力工程技术, 2023
In order to improve the detection efficiency of zero value insulator of transmission line, the unmanned aerial vehicles (UAV) equipped with an electric field detection device can realize live detection without climbing the tower.
ZHANG Dongdong, WAN Wuyi, LIU Xin, HUANG Xiaoning, GAO Tuoyu, ZHANG Zhijin   +5 more
doaj   +1 more source

Effective Contexts for UAV Vehicle Detection [PDF]

IEEE Access, 2019
Vehicle detection based on unmanned aerial vehicle (UAV) images is a challenging task for the small size of objects, complex background, and the imbalance of various vehicle samples. This paper proposes a high-performance UAV vehicle detector. We use the single-shot refinement neural network (RefineDet) as a base network, which employs the top-down ...
Jianxiu Yang, Xuemei Xie, Wenzhe Yang
openaire   +2 more sources

ALFA: A dataset for UAV fault and anomaly detection [PDF]

The International Journal of Robotics Research, 2020
We present a dataset of several fault types in control surfaces of a fixed-wing unmanned aerial vehicle (UAV) for use in fault detection and isolation (FDI) and anomaly detection (AD) research. Currently, the dataset includes processed data for 47 autonomous flights with 23 sudden full engine failure scenarios and 24 scenarios for 7 other types of ...
Azarakhsh Keipour, Mohammadreza Mousaei, Sebastian A. Scherer   +2 more
openaire   +2 more sources

Towards Detection of Sheep Onboard a UAV

CoRR, 2020
This was accepted for publication and presentation at the Embedded AI for Real-time Machine Vision 2019 in conjunction with the British Machine Vision Conference (BMVC) 2019. It was presented on 12 September 2019 in Cardiff, Wales. 10 pages, 3 figures, and 1 table, note that this is a web-friendly format as used at BMVC, so the pages are about A5 size (
Farah Sarwar, Anthony Griffin, Saeed Ur Rehman, Timotius Pasang   +3 more
openaire   +2 more sources