Pregled bibliografske jedinice broj: 1030225
Control architecture of a remotely controlled vehicle in extreme CBRNE conditions
Control architecture of a remotely controlled vehicle in extreme CBRNE conditions // International Conference on Electrical Drives & Power Electronics - EDPE 2019 / Dudrik, Jaroslav ; Fedák, Viliam ; Kyslan, Karol ; Matuško, Jadranko (ur.).
Vysoké Tatry: Institute of Electrical and Electronics Engineers (IEEE), 2019. str. 273-278 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1030225 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Control architecture of a remotely controlled vehicle in extreme CBRNE conditions
Autori
Šelek, Ana ; Jurić, Demijan ; Čirjak, Anđela ; Marić, Filip ; Seder, Marija ; Marković, Ivan ; Petrović, Ivan
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
International Conference on Electrical Drives & Power Electronics - EDPE 2019
/ Dudrik, Jaroslav ; Fedák, Viliam ; Kyslan, Karol ; Matuško, Jadranko - Vysoké Tatry : Institute of Electrical and Electronics Engineers (IEEE), 2019, 273-278
ISBN
978-1-7281-0388-4
Skup
International Conference of Electrical Drives and Power Electronics (EDPE)
Mjesto i datum
Vysoké Tatry, Slovačka, 24.09.2019. - 26.09.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
autonomous navigation ; GPS ; waypoint ; patrolling ; CBRNE threats
Sažetak
In this paper, we present a control architecture for a remotely controlled vehicle. It enables fully autonomous navigation of the vehicle while performing GPS- based waypoint or GPS-based patrolling tasks. The addressed tasks are fundamental for resolving chemical, biological, radiological, nuclear and explosive (CBRNE) threats. The control architecture is based on the Quantum geographic information system (QGIS) and the Robotic Operation System (ROS). QGIS is employed for the implementation of the user interface, whereas for the implementation of the vehicle navigation system, ROS is used. We also present a novel solution for the communication between QGIS and ROS. The execution of the waypoint and patrolling tasks is tested in simulation using the Gazebo simulator and experimentally on a Husky A200 mobile robot.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Temeljne tehničke znanosti
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Ivan Petrović
(autor)
Ivan Marković
(autor)
Marija Seder
(autor)
Filip Marić
(autor)
Ana Šelek
(autor)