Pregled bibliografske jedinice broj: 1094582
Predictive lane-keeping system for an autonomous vehicle
Predictive lane-keeping system for an autonomous vehicle // 2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO)
Opatija, Hrvatska: Institute of Electrical and Electronics Engineers (IEEE), 2020. str. 938-942 doi:10.23919/mipro48935.2020.9245198 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1094582 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Predictive lane-keeping system for an autonomous
vehicle
Autori
Makarun, Petar ; Ileš, Šandor ; Matuško, Jadranko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO)
/ - : Institute of Electrical and Electronics Engineers (IEEE), 2020, 938-942
Skup
43nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2020)
Mjesto i datum
Opatija, Hrvatska, 28.09.2020. - 02.10.2020
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Model predictive control, Lane-keeping, Autonomous driving
Sažetak
In this paper, a model predictive control lane keeping system of an autonomous vehicle is proposed. The control algorithm was tested experimentally on a laboratory scaled model of the vehicle. The desired trajectory during the experiment was determined by computer vision. Using image processing the middle of the driving lane and the horizontal profile of the driving lane was recognized. The control algorithm on the vehicle model was implemented in Python and solved using OSQP mathematical programming solver.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
