Pregled bibliografske jedinice broj: 485506
A computer vision assisted geoinformation inventory for traffic infrastructure
A computer vision assisted geoinformation inventory for traffic infrastructure // Intelligent Transportation Systems, 2010. ITSC '10. 13th International IEEE Conference on Intelligent Transportation Systems / Yibing, Wang (ur.).
Piscataway (NJ): Institute of Electrical and Electronics Engineers (IEEE), 2010. str. 66-73 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 485506 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
A computer vision assisted geoinformation inventory
for traffic infrastructure
Autori
Šegvić, Siniša ; Brkić, Karla ; Kalafatić, Zoran ; Stanisavljević, Vladimir ; Ševrović, Marko ; Budimir, Damir ; Dadić, Ivan
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Intelligent Transportation Systems, 2010. ITSC '10. 13th International IEEE Conference on Intelligent Transportation Systems
/ Yibing, Wang - Piscataway (NJ) : Institute of Electrical and Electronics Engineers (IEEE), 2010, 66-73
ISBN
978-1-4244-7658-9
Skup
International Conference on Intelligent Transportation Systems
Mjesto i datum
Funchal, Portugal, 19.09.2010. - 22.09.2010
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
computer vision ; geoinformation inventories
Sažetak
Geoinformation inventories are often employed as a tool for providing a comprehensive view onto the required state of traffic control infrastructure. They are especially important in road safety inspection where, in combination with georeferenced video, they enable repeatable off- line and off-site assessments as an attractive aternative to classic on-site inspection. Nevertheless, manual assessments are tedious and time-consuming even when performed off-line, and this seriously impairs the potential of the geoinformation inventory concept. This paper therefore researches a hypothesis that suitable georeferenced video processing techniques would allow reliable automation of the following operations: i) creation of the traffic inventory from the given video, and ii) assessing the video against the state in the inventory. Prominent computer vision approaches have been rigorously and systematically evaluated and the obtained results are presented. The results seem to support the hypothesis, although further work is required for a more definite answer.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Tehnologija prometa i transport
POVEZANOST RADA
Projekti:
MZO-ZP-036-0361935-1954 - Teorija, modeliranje i uporaba autonomno orijentiranih računarskih struktura (Ribarić, Slobodan, MZO ) ( CroRIS)
193-0000000-3450 - Upravljanje prometnim tokovima u urbanim područjima
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Institut prometa i veza, Zagreb
Profili:
Damir Budimir
(autor)
Siniša Šegvić
(autor)
Vladimir Stanisavljević
(autor)
Karla Brkić
(autor)
Zoran Kalafatić
(autor)
Ivan Dadić
(autor)
Marko Ševrović
(autor)