Tactile tile detection integrated with ground detection using an RGB-depth sensor

Yutaro Yamanaka, Eichi Takaya, Satoshi Kurihara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Tactile paving is a system used to help visually impaired individuals walk safely. However, it is difficult to recognize the surrounding tactile tiles on a first visit to an area. In this study, we propose a method for detecting tactile tiles integrated with ground detection using an RGB-Depth sensor. For the ground detection, we use the RANSAC algorithm and expand the region by using the breadth-first search. When detecting the tactile tiles, we perform thresholding and construct a model to identify candidate areas. Experimental results showed that the proposed method obtained a precision of about 83% in detecting tactile tiles on a paved asphalt road. It was possible to correctly distinguish tactile tiles from other objects by combining ground detection in many cases. On the other hand, there were many false detections of tactile tiles in challenging environments, and the processing speed should be improved for real-time navigation.

Original languageEnglish
Title of host publicationICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence
EditorsAna Rocha, Luc Steels, Jaap van den Herik
PublisherSciTePress
Pages750-757
Number of pages8
ISBN (Electronic)9789897583957
Publication statusPublished - 2020 Jan 1
Event12th International Conference on Agents and Artificial Intelligence, ICAART 2020 - Valletta, Malta
Duration: 2020 Feb 222020 Feb 24

Publication series

NameICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence
Volume2

Conference

Conference12th International Conference on Agents and Artificial Intelligence, ICAART 2020
CountryMalta
CityValletta
Period20/2/2220/2/24

Keywords

  • Ground Detection
  • Industrial Applications of AI
  • Tactile Tile
  • Visual Impairment

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

Fingerprint Dive into the research topics of 'Tactile tile detection integrated with ground detection using an RGB-depth sensor'. Together they form a unique fingerprint.

  • Cite this

    Yamanaka, Y., Takaya, E., & Kurihara, S. (2020). Tactile tile detection integrated with ground detection using an RGB-depth sensor. In A. Rocha, L. Steels, & J. van den Herik (Eds.), ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence (pp. 750-757). (ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence; Vol. 2). SciTePress.