Towards a vision-based targeting system for counter unmanned aerial systems (CUAS)

Wagoner, Amy R.; Schrader, Daniel K.; Matson, Eric T.

doi:10.1109/civemsa.2017.7995333

Cited by 6 publications

(4 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, radar is becoming adopted for long range drone detection [9], but its use also suffers from national regulations, such as RF license policies [10]. The difficulty and relatively high cost of installing drone detection radars makes civilian counter drone systems look for other drone detection methods, such as vision [11] and RF signal [12] systems.…”

Section: Introductionmentioning

confidence: 99%

Survey on Anti-Drone Systems: Components, Designs, and Challenges

et al. 2021

View full text Add to dashboard Cite

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 system for every private or public facility due to installation and operation costs, and regulatory restrictions. We focus on analyzing antidrone system that does not use military weapons, investigating a wide range of anti-drone technologies, and deriving proper system models for reliable drone defense. We categorized anti-drone technologies into detection, identification, and neutralization, and reviewed numerous studies on each. Then, we propose a hypothetical anti-drone system that presents the guidelines for adaptable and effective drone defense operations. Further, we discuss drone-side safety and security schemes that could nullify current anti-drone methods, and propose future solutions to resolve these challenges.

show abstract

Section: Introductionmentioning

confidence: 99%

Survey on Anti-Drone Systems: Components, Designs, and Challenges

et al. 2021

View full text Add to dashboard Cite

show abstract

“…It is important to develop and improve the methods of detection in IR, visible, and acoustic spectra in connection with algorithms for the autonomous evaluation of acquired data (image, noise, etc.). Such research is now being pursued [38,39,40,41].…”

Section: Resultsmentioning

confidence: 99%

Multispectral Detection of Commercial Unmanned Aerial Vehicles

Farlik

Krátký

Časar

et al. 2019

Sensors

View full text Add to dashboard Cite

The fight against unmanned vehicles is nothing new; however, especially with the arrival of new technologies that are easily accessible for the wider population, new problems are arising. The deployment of small unmanned aerial vehicles (UAVs) by paramilitary organizations during conflicts around the world has become a reality, non-lethal “paparazzi” actions have become a common practice, and it is only a matter of time until the population faces lethal attacks. The basic prerequisite for direct defense against attacking UAVs is their detection. The authors of this paper analysed the possibility of detecting flying aircraft in several different electro-magnetic spectrum bands. Firstly, methods based on calculations and simulations were chosen, and experiments in laboratories and measurements of the exterior were subsequently performed. As a result, values of the radar cross section (RCS), the noise level, the surface temperature, and optical as well as acoustic traces of tested devices were quantified. The outputs obtained from calculated, simulated, and experimentally detected values were found via UAV detection distances using specific sensors working in corresponding parts of the frequency spectrum.

show abstract

“…Inspired by the implementation above, the same research group developed a vision-based CUAS, instead of using radar [7]. The hunter UAV autonomously detects and tracks the target UAV using a monocular camera attached to it.…”

Section: Counter Unmanned Aerial Systemsmentioning

confidence: 99%

“…Lidar is frequently used in underwater detection [16] and forestry monitoring [17]. Although it has higher resolution and accuracy, the cost is high, and the results are vulnerable to weather conditions, which makes it unpractical for UAV detection [7]. However, a group of researchers implemented a UAV detection system using an affordable lidar sensor mounted on a UAV [18].…”

Section: Laser Sensormentioning

confidence: 99%