Feature Extraction for Human-Vehicle Classification in FMCW Radar
| Autor: | Andrea Randazzo, Daniele D. Caviglia, Roberto Vio, Alessandro Delucchi, Hussien Chible, Ali Rizik |
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| Rok vydání: | 2019 |
| Předmět: |
2D FFT
Doppler features Feature extraction FMCW radar Computer science business.industry 020208 electrical & electronic engineering Echo (computing) Fast Fourier transform 02 engineering and technology law.invention Continuous-wave radar symbols.namesake law 0202 electrical engineering electronic engineering information engineering symbols Range (statistics) ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS Computer vision Artificial intelligence Radar business Doppler effect |
| Zdroj: | ICECS |
| Popis: | In this paper, we analyze the radar echo signals of a 24 GHz FMCW radar obtained from two different groups of moving targets (humans and vehicles). Range and Doppler information are obtained with a 2D FFT analysis. The aim of this paper is to describe the experimental setup, the adopted approach for the extraction of the Doppler-based features for human-vehicle classification, and the results obtained so far. In particular, the differences between pedestrians and vehicles in the Doppler domain will be reported and discussed. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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