@inproceedings{b60c836fce5f479e8d2405ff5cda39fb,
title = "Real-time Implementation of l -key Pose Estimation for Driver Behavior Analysis",
abstract = "Driver behavior analysis is one of the most important key function in future autonomous driving systems. An important performance indicator here is real-time quality because it is directly related to safety. Therefore, in this paper, definition of 11 key points for real-time driver posture estimation, design of convolutional neural network(CNN) architecture, and its hardware implementation are presented. As a implementation result, we can get under 10ms latency and with 1.25ms input image interval.",
keywords = "Autonomous vehicle, Driver behavior analysis, Driver monitoring system, Human interaction, Pose estimation",
author = "Minjoon Kim and Jaehyuk So and Taemin Hwang",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 19th International System-on-Chip Design Conference, ISOCC 2022 ; Conference date: 19-10-2022 Through 22-10-2022",
year = "2022",
doi = "10.1109/ISOCC56007.2022.10031382",
language = "English",
series = "Proceedings - International SoC Design Conference 2022, ISOCC 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "89--90",
booktitle = "Proceedings - International SoC Design Conference 2022, ISOCC 2022",
address = "United States",
}