Pregled bibliografske jedinice broj: 1181672
Design of Short-Range S-band Radar Sensing System for Autonomous Object Classification
Design of Short-Range S-band Radar Sensing System for Autonomous Object Classification // 2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO)
Opatija, Hrvatska: Institute of Electrical and Electronics Engineers (IEEE), 2021. str. 17-21 doi:10.23919/mipro52101.2021.9596910 (ostalo, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1181672 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Design of Short-Range S-band Radar Sensing System for Autonomous Object Classification
Autori
Turcinovic, Filip ; Erny, Marin ; Zoricic, Vedran ; Poletan, Nino ; Bosiljevac, Marko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO)
/ - : Institute of Electrical and Electronics Engineers (IEEE), 2021, 17-21
Skup
44th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2021)
Mjesto i datum
Opatija, Hrvatska, 27.09.2021. - 01.10.2021
Vrsta sudjelovanja
Ostalo
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
short-range radar, FMCW radar, radar imaging, object classification
Sažetak
Remote environmental and industrial sensing based on multi-spectral or radar imaging today plays an important role in ensuring sustainability and protection of natural resources, in saving time and energy in industry and agriculture, and in many other applications. Numerous examples of such systems exist which provide information like product quality to manufacturers, crops growth parameters to farmers or structural integrity details to civil engineers. With recent developments in electromagnetic millimetre-wave (mm-wave) technology and artificial intelligence implementation, short range mm-wave remote sensing is experiencing strong growth with the market dictating new applications with increasingly higher levels of system autonomy. The objective of this paper is to demonstrate methodology and hardware used in short-range radar sensing and use it to build-up a database of scattering images which will allow us the extraction of key signal parameters for particular objects and subsequently allow autonomous object classification using machine learning principles.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Projekti:
HRZZ-IP-2019-04-1064 - Pametna platforma za daljinska istraživanja u okolišu i industriji primjenom milimetarskih valova (MMSENSE) (Bosiljevac, Marko, HRZZ ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb