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http://dx.doi.org/10.12652/Ksce.2020.40.3.0265

Precipitation Information Retrieval Method Using Automotive Radar Data  

Jang, Bong-Joo (Korea Institute of Civil Engineering and Building Technology)
Lim, Sanghun (Korea Institute of Civil Engineering and Building Technology)
Publication Information
KSCE Journal of Civil and Environmental Engineering Research / v.40, no.3, 2020 , pp. 265-271 More about this Journal
Abstract
Automotive radar that is one of the most important equipment in high-tech vehicles, is commonly used to detect the speed and range of objects such as cars. In this paper, in addition to objects detection, a method of retrieving precipitation information using the automotive radar data is proposed. The proposed method is based on the fact that the degree of attenuation of the returned radar signal differs depending on the precipitation intensity and the assumption that the distribution of precipitation is constant in short spatial and temporal observation. The purpose of this paper is to assesses the possibility of retrieving precipitation information using a vehicle radar. To verify the feasibility of the proposed method during actual driving, a method of estimating precipitation information for each time segment of various precipitation events was applied. From the results of driving field experiments, it was found that the proposed method is suitable for estimating precipitation information in various rainfall types.
Keywords
Precipitation information; Automotive radar; Attenuation; Data quality control;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 Kim, Y. G., Lee, S. H. and Kim, B. S. (2018). "Measurement of rainfall using sensor signal generated from vehicle rain sensor." Journal of the Korean Society of Civil Engineers, KSCE, Vol. 38, No. 2, pp. 227-235, DOI: 10.12652/KSCE.2018.38.2.0227 (in Korean).   DOI
2 Korea Institute of Civil Engineering and Building Technology (KICT) (2019). Development of driving environment observation, prediction and safety technology based on automotive sensors, final report (in Korean).
3 Roh, C. G. and Park, B. J. (2019). "Analysis of the effect of rainfall on ADAS sensor." International Journal of Advanced Engineering and Management Research, Vol. 4, No. 1, pp. 77-84.
4 Stock, K. (2018). Self-driving cars can handle neither rain nor sleet nor snow, Bloomberg Business week, Available at: https://www.bloomberg.com/news/articles/2018-09-17/self-driving-cars-still-can-t-handle-bad-weather (Accessed: September 17, 2018).
5 Ziebinski, A., Cupek, R., Erdogan, H. and Waechter, S. (2016) "A survey of ADAS technologies for the future perspective of sensor fusion." ICCCI 2016: Computational Collective Intelligence, Springer, Vol. 9876, pp. 135-146, DOI: https://doi.org/10.1007/978-3-319-45246-3_13.
6 Bertoldo, S., Lucianaz, C. and Allegretti, M. (2018). "On the use of a 77 GHz automotive radar as a microwave rain gauge." Engineering, Technology & Applied Science Research, Vol. 8, No. 1, pp. 2356-2360.   DOI
7 Gourova, R., Krasnov, O. and Yarovoy A. (2017). "Analysis of rain clutter detections in commercial 77 GHz automotive radar." 2017 European Radar Conference (EURAD), Nuremberg, pp. 25-28.
8 Jang, B. J., Jung, I. T., Chong, K. S., Sung, H. K. and Lim, S. H. (2019). "Rainfall observation system using automotive radar sensor for ADAS based driving safety." 2019 IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand, pp. 305-310.