Title :
Identification of parallel running vehicles by RBF neural network
Author :
Hiroki Tsutsumi;Yoshihiko Kuwahara;Hiroyuki Kamo
Author_Institution :
Graduate School of Engineering, Shizuoka University, Hamamatsu, Japan
fDate :
7/1/2015 12:00:00 AM
Abstract :
We propose a technique to identify the vehicle running parallel by the RBF neural network (RBFNN). Previously, the parallel running vehicle has been identified based on the direction of arrival information. In our proposed method, RBFNN determines the presence or absence of the vehicles running parallel ahead. By numerical simulation, we confirmed the effectiveness of the proposed method.
Keywords :
"Vehicles","Direction-of-arrival estimation","Millimeter wave radar","Biological neural networks","Estimation"
Conference_Titel :
Antennas and Propagation & USNC/URSI National Radio Science Meeting, 2015 IEEE International Symposium on
DOI :
10.1109/APS.2015.7305163