@inproceedings{53fae88d356e478dbe6adee0c5088425,
title = "Deep Learning-based Human Vehicle Interface for Smart Golf Cart",
abstract = "This paper proposes a system in which a golf cart recognizes and tracks a user using a deep learning algorithm. Existing tracking golf carts use image processing algorithms or wearable sensors. However, image processing algorithms have low user recognition and tracking capabilities. In addition, the recognition and tracking system using a wearable sensor has a problem that requires an additional wearable sensor. We propose a non-attached smart golf cart using a deep learning algorithm to solve this problem. Deep learning object detection and classification algorithms are used to detect people and hands and recognize gestures in the detected hands. The golf cart performs user recognition, tracking, and human vehicle interface(HVI) by using the box of people and hands and gesture information. This paper verifies the algorithm on the golf cart.",
keywords = "classification, deep learning, object detection",
author = "Yoo, {Min Woo} and Lee, {Chae Hyun} and Han, {Dong Seog}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023 ; Conference date: 20-02-2023 Through 23-02-2023",
year = "2023",
doi = "10.1109/ICAIIC57133.2023.10067123",
language = "English",
series = "5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "821--824",
booktitle = "5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023",
address = "United States",
}