Real Time Vehicle Trajectory Estimation on Multiple Lanes (CROSBI ID 615024)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Kovačić, Kristian ; Ivanjko, Edouard ; Gold, Hrvoje
engleski
Real Time Vehicle Trajectory Estimation on Multiple Lanes
Today’s road traffic management systems using intelligent transportation systems solutions need real time measurements of various traffic parameters like flow, origin-destination matrices, vehicle type, etc. Cameras combined with image processing algorithms are being more and more used as the sensor capable to measure several traffic parameters. One such parameter, also important for accurate simulation of road traffic flow and evaluation of traffic safety, is the driving aggressiveness factor which can be estimated from the vehicles trajectory. In this paper an Extended Kalman Filter based approach to estimate vehicle trajectories on multiple lanes using only one static camera is described. To test the accuracy of the implemented approach a synthetic road traffic environment is developed. Real time capabilities of the approach are tested using real traffic video footage obtained from Croatian highways.
Computer vision; object tracking; extended Kalman filter; realtime; road traffic parameters
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Podaci o prilogu
21-26.
2014.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of Third Croatian Computer Vision Workshop CCVW 2014
Sven Loncaric, Marko Subašic
Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu
1849-1227
Podaci o skupu
Third Croatian Computer Vision Workshop CCVW 2014
predavanje
16.09.2014-16.09.2014
Zagreb, Hrvatska