Deep Learning-based Human Vehicle Interface for Smart Golf Cart

Min Woo Yoo, Chae Hyun Lee, Dong Seog Han

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages821-824
Number of pages4
ISBN (Electronic)9781665456456
DOIs
StatePublished - 2023
Event5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023 - Virtual, Online, Indonesia
Duration: 20 Feb 202323 Feb 2023

Publication series

Name5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023

Conference

Conference5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023
Country/TerritoryIndonesia
CityVirtual, Online
Period20/02/2323/02/23

Keywords

  • classification
  • deep learning
  • object detection

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