Implementation of a Non-Contact Driver Monitoring System with Enhanced Object Detection and Pose Estimation

To enhance driving safety, in this work, an effective driver monitoring system (DMS) is developed by YOLOv7-tiny for object detection and by Dlib keypoints for head pose estimation. The proposed design is implemented on Nvidia Jetson Xavier device, and the system demonstrates the high precision and...

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Bibliographic Details
Main Authors: Lin, Hsuan-Yu, Yang, Yu-Cheng, Zhao, Xi-Liang, Guo, Jiun-In, Hwang, Yin-Tsung, Fan, Chih-Peng
Format: Conference Proceeding
Language:English
Subjects:
Accidents
Consumer electronics
deep learning
DMS
embedded system
head pose
Monitoring
Object detection
Performance evaluation
Pose estimation
Safety
YOLO
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Summary:To enhance driving safety, in this work, an effective driver monitoring system (DMS) is developed by YOLOv7-tiny for object detection and by Dlib keypoints for head pose estimation. The proposed design is implemented on Nvidia Jetson Xavier device, and the system demonstrates the high precision and recall, and then it achieves a mean average precision of 98.2%. The experimental results highlight the performance of the proposed non-contact DMS design for improving driver's attentiveness and reducing accidents.
ISSN:2693-0854
DOI:10.1109/GCCE62371.2024.10761006