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.
|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|
|Publication status||Published - 2019 Nov 12|
|Event||25th ACM Symposium on Virtual Reality Software and Technology, VRST 2019 - Sydney, Australia|
Duration: 2019 Nov 12 → 2019 Nov 15
|Name||Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST|
|Conference||25th ACM Symposium on Virtual Reality Software and Technology, VRST 2019|
|Period||19/11/12 → 19/11/15|
Bibliographical noteFunding Information:
This work was supported by the National Research Foundation of Korea (NRF) Grant funded by the Korea government (MSIT) (No. NRF-2017M3C4A7066316 and No. NRF-2016R1A2B3014319). The preliminary version of this work was presented as a poster at ISMAR 2019.
© 2019 Association for Computing Machinery.
- Alert interface
- Augmented reality
- Pedestrian safety
ASJC Scopus subject areas