V-RBNN based small drone detection in augmented datasets for 3D LADAR system

Kim, Byeong Hak (avtor), Khan, Danish (avtor), Bohak, Ciril (avtor), Choi, Wonju (avtor), Lee, Hyun Jeong (avtor), Kim, Min Young (avtor)

A common countermeasure to detect threatening drones is the electro-optical infrared (EO/IR) system. However, its performance is drastically reduced in conditions of complex background, saturation and light reflection. 3D laser sensor LiDAR is used to overcome the problems of 2D sensors like EO/IR, but it is not enough to detect small drones at a very long distance because of low laser energy and resolution. To solve this problem, A 3D LADAR sensor is under development. In this work, we study the detection methodology adequate to the LADAR sensor which can detect small drones at up to 2 km. First, a data augmentation method is proposed to generate a virtual target considering the laser beam and scanning characteristics, and to augment it with the actual LADAR sensor data for various kinds of tests before full hardware system developed. Second, a detection algorithm is proposed to detect drones using voxel-based background subtraction and variable radially bounded nearest neighbor (V-RBNN) method. The results show that 0.2 m L2 distance and 60% expected average overlap (EAO) indexes are satisfied for the required specification to detect 0.3 m size of small drones.

• Jezik: Angleški jezik
• Ključne besede: drone detection, clustering, 3D sensor, LiDAR, fusion data, 3D LADAR
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FRI - Fakulteta za računalništvo in informatiko
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2018
• Št. strani: 16 str.
• Številčenje: Vol. 18, iss. 11, art. 3825
• PID: 20.500.12556/RUL-132014
• UDK: 004
• ISSN pri članku: 1424-8220
• DOI: 10.3390/s18113825
• COBISS.SI-ID: 1538015427
• Datum objave v RUL: 08.10.2021

Gradivo je del revije

• Naslov: Sensors
• Skrajšan naslov: Sensors
• Založnik: MDPI
• ISSN: 1424-8220
• COBISS.SI-ID: 10176278

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
• Začetek licenciranja: 08.11.2018

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: detekcija dronov, gručenje, 3D senzor, LiDAR, zlivanje podatkov, 3D LADAR