Hybrid SVM-CNN Classification Technique for Human–Vehicle Targets in an Automotive LFMCW Radar
Human–vehicle classification is an essential component to avoiding accidents in autonomous driving. The classification technique based on the automotive radar sensor has been paid more attention by related researchers, owing to its robustness to low-light conditions and severe weather. In the paper,...
Main Authors: | Qisong Wu, Teng Gao, Zhichao Lai, Dianze Li |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-06-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/12/3504 |
Similar Items
-
Application of mmWave Radar Sensor for People Identification and Classification
by: Xu Huang, et al.
Published: (2023-04-01) -
Millimeter wave radar/
by: Johnston, Stephen L.
Published: (1980) -
Binary-Phase vs. Frequency Modulated Radar Measured Performances for Automotive Applications
by: Mattia Caffa, et al.
Published: (2023-06-01) -
Millimeter-wave radar targets and clutter /
by: 304200 Kulemin, G. P.
Published: (2003) -
Research on a Vehicle Recognition Method Based on Radar and Camera Information Fusion
by: Fang Ding, et al.
Published: (2022-08-01)