@inproceedings{7327140fb3f64430b014d3bee9f1f60c,
title = "Post-processing Using Spatial Relationships for Button Recognition",
abstract = "With rapid technological advances, the autonomous mobile robot market has grown remarkably in recent years. However, these autonomous mobile robots and their services still need to improve in the real world. Among various services, we focused on services that drive in multiple spaces in a multi-story building using an elevator. To operate the elevator, the mobile robot must be able to operate by pressing the elevator button. In particular, in this paper, we proposed a post-processing method using spatial relationships applicable to various elevator button recognition. We define the relationship between buttons, configure them to apply to the results of previous button recognition studies, and show performance improvement through button recognition post-processing in an actual situation.",
keywords = "Elevator buttons, Object recognition, Post-processing, Spatial relationship",
author = "Pyo, \{Jeong Won\} and Lee, \{Kwang Hee\} and Kuc, \{Tae Yong\}",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; 18th International Conference on Intelligent Autonomous Systems, IAS18 2023 ; Conference date: 04-07-2023 Through 07-07-2023",
year = "2024",
doi = "10.1007/978-3-031-44851-5\_41",
language = "English",
isbn = "9783031448508",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "537--545",
editor = "Soon-Geul Lee and Jinung An and Chong, \{Nak Young\} and Marcus Strand and Kim, \{Joo H.\}",
booktitle = "Intelligent Autonomous Systems 18 - Volume 1 Proceedings of the 18th International Conference IAS18-2023",
}