A distributed approach for collision avoidance between multirotor UAVs following planned missions

Fabra, Francisco ; Zamora, William ; Sangüesa, Julio ; Calafate, Carlos T. ; Cano, Juan Carlos ; /Manzoni, Pietro

Resumen: As the number of potential applications for Unmanned Aerial Vehicles (UAVs) keeps rising steadily, the chances that these devices get close to each other during their flights also increases, causing concerns regarding potential collisions. This paper proposed the Mission Based Collision Avoidance Protocol (MBCAP), a novel UAV collision avoidance protocol applicable to all types of multicopters flying autonomously. It relies on wireless communications in order to detect nearby UAVs, and to negotiate the procedure to avoid any potential collision. Experimental and simulation results demonstrated the validity and effectiveness of the proposed solution, which typically introduces a small overhead in the range of 15 to 42 s for each risky situation successfully handled.

Idioma: Inglés

DOI: 10.3390/s19102404

Año: 2019

Publicado en: Sensors (Switzerland) 19, 10 (2019), 2404 [25 pp.]
ISSN: 1424-8220

Factor impacto JCR: 3.275 (2019)

Categ. JCR: CHEMISTRY, ANALYTICAL rank: 22 / 86 = 0.256 (2019) - Q2 - T1
Categ. JCR: INSTRUMENTS & INSTRUMENTATION rank: 15 / 64 = 0.234 (2019) - Q1 - T1
Categ. JCR: ENGINEERING, ELECTRICAL & ELECTRONIC rank: 77 / 266 = 0.289 (2019) - Q2 - T1

Factor impacto SCIMAGO: 0.653 - Instrumentation (Q1) - Atomic and Molecular Physics, and Optics (Q2) - Medicine (miscellaneous) (Q2) - Information Systems (Q2) - Analytical Chemistry (Q2) - Electrical and Electronic Engineering (Q2) - Biochemistry (Q3)

Financiación: info:eu-repo/grantAgreement/ES/MICINN/RTI2018-096384-B-100

Tipo y forma: Article (Published version)