Machine Learning based In-Cabin Radar System for Passenger Monitoring System
- Title
- Machine Learning based In-Cabin Radar System for Passenger Monitoring System
- Author(s)
- Hyun, Eugin ; Jin, YoungSeok ; Bae, Jieun ; Park, Chi-Ho
- Issued Date
- 2023-06-23
- Citation
- 97th IEEE Vehicular Technology Conference (VTC-Spring)
- Type
- Conference Paper
- ISBN
- 9798350311143
- ISSN
- 2577-2465
- Abstract
- In this paper, we propose a passenger monitoring scheme using a 60GHz FMCW radar for in-cabin applications. Based on the 2D images using cloud point, we employed a 2D deep learning method. We found an average recognition rate at 96 %, which was one to five occupants in a vehicle. © 2023 IEEE.
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Related Researcher
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Hyun, Eugin
- Research Interests Radar system; Radar signal processing; Automotive radar; Surveillance radar; Commercial radar; Defence radar
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