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Human-vehicle classification scheme using doppler spectrum distribution based on 2D range-doppler FMCW radar

Title
Human-vehicle classification scheme using doppler spectrum distribution based on 2D range-doppler FMCW radar
Authors
Hyun, EuginJin, Young Seok
DGIST Authors
Hyun, Eugin
Issue Date
2018-12
Citation
Journal of Intelligent and Fuzzy Systems, 35(6), 6035-6045
Type
Article
Article Type
Review
Author Keyword
Automotive radar; feature extraction; pedestrian classification; radar recognition; FMCW radar
ISSN
1064-1246
Abstract
In this paper, we proposed a human-vehicle classification scheme using a Doppler spectrum distribution based on 2D Range-Doppler FMCW (Frequency Modulated Continuous Wave). Typically, because humans have non-rigid motion, multiple reflection points can appear on the Doppler spectrum. However, in the actual field, the Doppler spectrum distribution of a walking human is highly variable over time. Thus method using only this characteristic of the extended Doppler spectrum is limited with regard to human-vehicle classification. In order to improve the target classification performance, we designed two feature. The first is the Doppler spectrum extension features, which is expressed as the number of Doppler reflection points with magnitudes exceeding reference threshold. Next, we defined the Doppler spectrum variance feature, which is extracted as the difference the reflection points between two successive frames. We can determine how the Doppler spectrum expands with the first feature, and how the Doppler spectra change based on the second feature. To verify the proposed target classification scheme, we measured real data using a 24GHz FMCW transceiver on an actual road with various scenarios of walking humans and moving vehicles. From an analysis of the results, we confirmed that the thresholds effectively classify humans and vehicles based on the two proposed features. Finally, we verified that the results of the proposed classification scheme using the two features were much better than those using the first feature alone. © 2018 - IOS Press and the authors. All rights reserved.
URI
http://hdl.handle.net/20.500.11750/9431
DOI
10.3233/JIFS-169844
Publisher
IOS Press
Related Researcher
  • Author Hyun, Eugin  
  • Research Interests Radar system, Radar signal processing, Automotive radar, Surveillance radar, Commercial radar, Defence radar,
Files:
There are no files associated with this item.
Collection:
Convergence Research Center for Future Automotive Technology1. Journal Articles


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