Road Users Classification Based on Bi-Frame Micro-Doppler with 24-GHz FMCW Radar
Radar sensors hold excellent capabilities to estimate distance and motion accu- rately, penetrate nonmetallic objects, and remain unaffected by weather conditions. These capabilities make these devices extremely flexible in their applications. Elec- tromagnetic waves centered at frequencies around 2...
Main Author: | Coppola, Rudi |
---|---|
Other Authors: | Alouini, Mohamed-Slim |
Language: | en |
Published: |
2021
|
Subjects: | |
Online Access: | Coppola, R. (2021). Road Users Classification Based on Bi-Frame Micro-Doppler with 24-GHz FMCW Radar. KAUST Research Repository. https://doi.org/10.25781/KAUST-X10N1 http://hdl.handle.net/10754/668953 |
Similar Items
-
Modeling Small UAV Micro-Doppler Signature Using Millimeter-Wave FMCW Radar
by: Marco Passafiume, et al.
Published: (2021-03-01) -
Doppler-Spectrum Feature-Based Human–Vehicle Classification Scheme Using Machine Learning for an FMCW Radar Sensor
by: Eugin Hyun, et al.
Published: (2020-04-01) -
A Low-Complexity FMCW Surveillance Radar Algorithm Using Two Random Beat Signals
by: Bong-seok Kim, et al.
Published: (2019-01-01) -
Classification and Spectral Mapping of Stationary and Moving Objects in Road Environments Using FMCW Radar
by: Heemang Song, et al.
Published: (2020-01-01) -
Lane-by-Lane Traffic Monitoring Using 24.1 GHz FMCW Radar System
by: Hae-Seung Lim, et al.
Published: (2021-01-01)