Obstacle detection and alert system for smartphone AR users

Hyeongyeop Kang; Geonsun Lee; Junghyun Han

doi:10.1145/3359996.3364256

Obstacle detection and alert system for smartphone AR users

Hyeongyeop Kang, Geonsun Lee, Junghyun Han

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

15 Citations (Scopus)

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 language	English
Title of host publication	Proceedings - VRST 2019
Subtitle of host publication	25th ACM Symposium on Virtual Reality Software and Technology
Editors	Stephen N. Spencer
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450370011
DOIs	https://doi.org/10.1145/3359996.3364256
Publication status	Published - 12 Nov 2019
Event	25th ACM Symposium on Virtual Reality Software and Technology, VRST 2019 - Sydney, Australia Duration: 12 Nov 2019 → 15 Nov 2019

Publication series

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

Conference

Conference	25th ACM Symposium on Virtual Reality Software and Technology, VRST 2019
Country/Territory	Australia
City	Sydney
Period	12/11/19 → 15/11/19

Bibliographical note

Publisher Copyright:
© 2019 Association for Computing Machinery.

Keywords

Alert interface
Augmented reality
Pedestrian safety

Access to Document

10.1145/3359996.3364256

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 Article 3364256 (Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST). Association for Computing Machinery. https://doi.org/10.1145/3359996.3364256

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title = "Obstacle detection and alert system for smartphone AR users",

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.",

keywords = "Alert interface, Augmented reality, Pedestrian safety",

author = "Hyeongyeop Kang and Geonsun Lee and Junghyun Han",

note = "Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; 25th ACM Symposium on Virtual Reality Software and Technology, VRST 2019 ; Conference date: 12-11-2019 Through 15-11-2019",

year = "2019",

month = nov,

day = "12",

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Kang, H, Lee, G & Han, J 2019, Obstacle detection and alert system for smartphone AR users. in SN 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, 25th ACM Symposium on Virtual Reality Software and Technology, VRST 2019, Sydney, Australia, 12/11/19. https://doi.org/10.1145/3359996.3364256

Obstacle detection and alert system for smartphone AR users. / Kang, Hyeongyeop; Lee, Geonsun; Han, Junghyun.
Proceedings - VRST 2019: 25th ACM Symposium on Virtual Reality Software and Technology. ed. / Stephen N. Spencer. Association for Computing Machinery, 2019. 3364256 (Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Obstacle detection and alert system for smartphone AR users

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AU - Lee, Geonsun

AU - Han, Junghyun

PY - 2019/11/12

Y1 - 2019/11/12

N2 - 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.

AB - 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.

KW - Alert interface

KW - Augmented reality

KW - Pedestrian safety

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DO - 10.1145/3359996.3364256

M3 - Conference contribution

AN - SCOPUS:85076134780

T3 - Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST

BT - Proceedings - VRST 2019

A2 - Spencer, Stephen N.

PB - Association for Computing Machinery

T2 - 25th ACM Symposium on Virtual Reality Software and Technology, VRST 2019

Y2 - 12 November 2019 through 15 November 2019

ER -

Obstacle detection and alert system for smartphone AR users

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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