Pregled bibliografske jedinice broj: 1266588
Road Curb Detection: ADAS for a Road Sweeper Vehicle
Road Curb Detection: ADAS for a Road Sweeper Vehicle // Robotics in Alpe-Adria-Danube Region (RAAD)
Bled, Slovenija, 2023. str. 1-8 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1266588 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Road Curb Detection: ADAS for a Road Sweeper Vehicle
Autori
Bilić, Ivan ; Popović, Goran ; Bataljak-Savić, Tibor ; Marković, Ivan ; Petrović, Ivan
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Robotics in Alpe-Adria-Danube Region (RAAD)
/ - , 2023, 1-8
Skup
Robotics in Alpe-Adria-Danube Region (RAAD)
Mjesto i datum
Bled, Slovenija, 14.06.2023. - 16.06.2023
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
curb detection ; driver assistance system ; utility vehicles
Sažetak
Recent development of the concept of smart cities has led to an increasing demand for advanced technological solutions that drive forward the design and capabilities of utility vehicles operating in urban environments. One possibility is to exploit recent advances in computer vision to introduce a certain level of autonomy into some of the vehicle’s functionalities, e.g., an advanced driver-assistance system. Modern road sweeper vehicles are designed to possess multiple systems for maintaining the road quality and city cleanliness, such as brushes, vacuums, and great vehicle maneuverability. Introducing autonomy to these control systems lowers the burden on the human operator, thereby increasing work efficiency and overall safety, as well as making a positive impact on worker health. This paper considers a 3D curb detection system that supports autonomous road sweeping. In order to achieve this, we utilize a vision-based approach that leverages stereo depth estimation and a pretrained semantic segmentation model. In addition, we implement a simple LiDAR-based curb detection baseline. Finally, we collected our own dataset comprised of driving sequences resembling our use-case, which is used to conduct qualitative experiments
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Temeljne tehničke znanosti
POVEZANOST RADA