TY - GEN
T1 - Vehicle Classification via Multi-dimension Feature Extraction with Millimeter Wave Radar
AU - Wang, Jianwen
AU - Li, Gang
AU - Jiao, Jian
AU - Zhao, Zhichun
AU - Li, Juan
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Accurate vehicle classification is an important issue in autonomous driving and traffic monitoring technology. In order to improve the classification accuracy of road vehicles in passive traffic monitoring scenario with millimeter wave (MMW) radar, a vehicle classification algorithm based on multi-dimension feature extraction and support vector machine (SVM) is proposed in this paper. According to the scattering points distribution of the vehicle in range-doppler-angle domain, 9 statistical features are mined and extracted to obtain the feature vector, and then an SVM classifier is used to realize vehicle classification. The real data experimental results based on a 77GHz MMW radar verify the effectiveness and superiority of the proposed method in road vehicle classification over the classification method based on point cloud feature and SVM.
AB - Accurate vehicle classification is an important issue in autonomous driving and traffic monitoring technology. In order to improve the classification accuracy of road vehicles in passive traffic monitoring scenario with millimeter wave (MMW) radar, a vehicle classification algorithm based on multi-dimension feature extraction and support vector machine (SVM) is proposed in this paper. According to the scattering points distribution of the vehicle in range-doppler-angle domain, 9 statistical features are mined and extracted to obtain the feature vector, and then an SVM classifier is used to realize vehicle classification. The real data experimental results based on a 77GHz MMW radar verify the effectiveness and superiority of the proposed method in road vehicle classification over the classification method based on point cloud feature and SVM.
KW - feature extraction
KW - millimeter wave radar
KW - support vector machine
KW - vehicle classification
UR - https://www.scopus.com/pages/publications/85181105902
U2 - 10.1109/Radar53847.2021.10028469
DO - 10.1109/Radar53847.2021.10028469
M3 - Conference contribution
AN - SCOPUS:85181105902
T3 - Proceedings of the IEEE Radar Conference
SP - 1336
EP - 1339
BT - 2021 CIE International Conference on Radar, Radar 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 CIE International Conference on Radar, Radar 2021
Y2 - 15 December 2021 through 19 December 2021
ER -