Obstacle detection and alert system for smartphone AR users

Hyeongyeop Kang, Geonsun Lee, Junghyun Han

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

Abstract

This paper presents an obstacle detection and alert system for the pedestrians who use smartphone AR applications. The system analyzes the input camera image to extract feature points and determines whether the feature points come from obstacles ahead in the path. With the obstacle detector, two experiments were made. The first investigated the obstacle alert interfaces, and the second investigated the orientation guide interfaces that instruct users to hold their smartphones with some angles/orientations appropriate to capture the environment. Then, the best interfaces identified from the experiments were integrated and tested to examine their usability and user experiences.

Original languageEnglish
Title of host publicationProceedings - VRST 2019
Subtitle of host publication25th ACM Symposium on Virtual Reality Software and Technology
EditorsStephen N. Spencer
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450370011
DOIs
Publication statusPublished - 2019 Nov 12
Event25th ACM Symposium on Virtual Reality Software and Technology, VRST 2019 - Sydney, Australia
Duration: 2019 Nov 122019 Nov 15

Publication series

NameProceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST

Conference

Conference25th ACM Symposium on Virtual Reality Software and Technology, VRST 2019
CountryAustralia
CitySydney
Period19/11/1219/11/15

Keywords

  • Alert interface
  • Augmented reality
  • Pedestrian safety

ASJC Scopus subject areas

  • Software

Fingerprint Dive into the research topics of 'Obstacle detection and alert system for smartphone AR users'. Together they form a unique fingerprint.

  • Cite this

    Kang, H., Lee, G., & Han, J. (2019). Obstacle detection and alert system for smartphone AR users. In S. N. Spencer (Ed.), Proceedings - VRST 2019: 25th ACM Symposium on Virtual Reality Software and Technology [3364256] (Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST). Association for Computing Machinery. https://doi.org/10.1145/3359996.3364256