TY - GEN
T1 - Moving Target Classification in Automotive Radar Systems Using Transposed Convolutional Networks
AU - Kim, Sangtae
AU - Lee, Kwangjin
AU - Doo, Seungho
AU - Shim, Byonghyo
N1 - Funding Information:
the Korean government (MSIP) (2016R1A2B3015576)
Publisher Copyright:
© 2018 IEEE.
PY - 2019/2/19
Y1 - 2019/2/19
N2 - In this paper, we propose a deep neural network model for target classification in automotive radar system. In the proposed network, we introduce transposed convolutional network (TCNet) which applies transposed convolution operations. We discuss the properties of transposed convolution and show that TCNet can reduce the network size and improve the classification performance for the systems in which the signals are sparse and memory is restricted like our automotive radar systems. In our experiment, we show that the proposed network outperforms other popularly used dimensionality reduction approaches in terms of classification accuracy.
AB - In this paper, we propose a deep neural network model for target classification in automotive radar system. In the proposed network, we introduce transposed convolutional network (TCNet) which applies transposed convolution operations. We discuss the properties of transposed convolution and show that TCNet can reduce the network size and improve the classification performance for the systems in which the signals are sparse and memory is restricted like our automotive radar systems. In our experiment, we show that the proposed network outperforms other popularly used dimensionality reduction approaches in terms of classification accuracy.
KW - classification
KW - convolutional neural networks
KW - fast chirp FMCW radar
KW - recurrent neural networks
UR - http://www.scopus.com/inward/record.url?scp=85062964777&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2018.8645406
DO - 10.1109/ACSSC.2018.8645406
M3 - Conference contribution
AN - SCOPUS:85062964777
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 2050
EP - 2054
BT - Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018
A2 - Matthews, Michael B.
PB - IEEE Computer Society
T2 - 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018
Y2 - 28 October 2018 through 31 October 2018
ER -