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General Information
Editor-in-chief

Prof. Pascal Lorenz
University of Haute Alsace, France
 
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.

IJFCC 2019 Vol.8(3): 94-98 ISSN: 2010-3751
DOI: 10.18178/ijfcc.2019.8.3.547

Model-Based Vehicle Position Estimation Using Millimeter Wave Radar

Yoshihiro Suzuki, Yosuke Sugiura, Tetsuya Shimamura, Osamu Isaji, Kazuaki Hamada, and Kazuhiko Shite
Abstract—In this paper, we propose a method to accurately estimate the position of the vehicle by millimeter wave radar (MWR). In recent years, many techniques of autonomous driving have been developed actively. In order to realize a safety autonomous driving system, MWR plays an important role for its inherent robustness against external circumstances. However, MWR has low spatial resolution. To achieve highly accurate estimation, we propose a model-based matching approach to the point cloud observed from MWR. Simulation experiments show that accurate estimation of the position of a moving vehicle can be obtained.

Index Terms—Autonomous driving, object detection, Millimeter Wave Radar (MWR), point cloud, least-squares method.

Yoshihiro Suzuki, Yosuke Sugiura, and Tetsuya Shimamura are with the Graduate School of Science and Engineering, Saitama University, Saitama 338-0823, Japan (e-mail: {suzuki, sugiura, shima}@sie.ics.saitama-u.ac.jp).
Osamu Isaji, Kazuaki Hamada, and Kazuhiko Shite are with DENSO TEN Limited, Kobe 652-8510, Japan (e-mail: {osamu.isaji, kazuaki.hamada, kazuhiko.shite}@denso-ten.com).

[PDF]

Cite: Yoshihiro Suzuki, Yosuke Sugiura, Tetsuya Shimamura, Osamu Isaji, Kazuaki Hamada, and Kazuhiko Shite, "Model-Based Vehicle Position Estimation Using Millimeter Wave Radar," International Journal of Future Computer and Communication vol. 8, no. 3, pp. 94-98, 2019.

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