id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
hjic-927	Szalay, István; Enisz, Krisztián; Medve, Hunor; Fodor, Dénes	Localization accuracy improvement of autonomous vehicles using sensor fusion and extended Kalman filter	2020	7	.pdf	application/pdf	3898	163	53	The aim of the localization algorithm is to estimate the current position (x and y coordinates) and heading (yaw angle ψ) of the vehicle by fusing GPS measurements with dead reckoning based on vehicle sensor signals. = y1 = h ( x1, u1,m1 ) 1TS x1 u1 noise f ( x1, u1, p1 ) = y2 = h ( x2, u2,m2 ) 2TS x2 u2 noise Figure 1: Dead reckoning steps and propagation of the system state formulate the system model in a way that produces the true-position and heading state variables, the input vari- ables of vehicle sensor signals and the outputs of GPS signals.	cache/hjic-927.pdf	txt/hjic-927.txt