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Machine Learning based In-Cabin Radar System for Passenger Monitoring System
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Title
Machine Learning based In-Cabin Radar System for Passenger Monitoring System
Issued Date
2023-06-23
Citation
IEEE Vehicular Technology Conference
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.
URI
http://hdl.handle.net/20.500.11750/47570
DOI
10.1109/VTC2023-Spring57618.2023.10200306
Publisher
Institute of Electrical and Electronics Engineers Inc.
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현유진
Hyun, Eugin현유진

Division of Mobility Technology

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