Airborne Localisation of Small UAS using Visual Detection: A Field Experiment

Laurito, Giuseppe; Fraser, Bradley; Rosser, Kent

doi:10.1109/ssci47803.2020.9308605

Cited by 4 publications

(1 citation statement)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In fact, the proposed radar provides the highest drone detection range ever reported for a UAS-borne sensor in the literature (both passive and active) and is thus the most promising one. Compared to prior art such as sound-based techniques, lidars [10], [11], and camera/video-based detection schemes [13], [14], the proposed radar is not dependent on external or environmental factors such as weather conditions, background noise and time of day. Hence, it is way more reliable and robust.…”

Section: B Proposed Methods and Contributionmentioning

confidence: 99%

UAS-Borne Radar for Autonomous Navigation and Surveillance Applications

Milias¹,

Andersen²,

Muhammad

et al. 2023

IEEE Trans. Intell. Transport. Syst.

View full text Add to dashboard Cite

The autonomous navigation of UAS requires, among others, detect-and-avoid capability as a prerequisite for enabling wide-ranging applications, including the transportation of goods and people. This article presents the design, implementation, and experimental results of a UAS-borne radar system detecting drones. The applications of the proposed system include not only detect-and-avoid systems for safe and autonomous navigation of unmanned aircraft systems but also airborne surveillance of malicious drones in controlled or restricted airspace for mitigating security and privacy threats. The system performance in terms of maximum detection range is evaluated through field tests. The experimental results show that the proposed UASborne radar can detect a DJI Phantom 4 and a DJI Matrice 600 Pro at a maximum distance of 440 and 500 meters, respectively. The article also provides insights into the system implementation and integration aspects, discusses future research direction, and stresses the need for standardization efforts to benchmark the required performance levels for UAS-borne radars.

show abstract