Projects per year
Abstract
Augmented Reality (AR) based navigation has emerged as an impressive, yet seamless way of guiding users in unknown environments. Its quality of experience depends on many factors, including the accuracy of camera pose estimation, response delay, and energy consumption. In this paper, we present SeeNav - a seamless and energy-efficient AR navigation system for indoor environments. SeeNav combines image-based localization and inertial tracking to provide an accurate and robust camera pose estimation. As vision processing is much more compute intensive than the processing of inertial sensor data, SeeNav offloads the former one from resource-constrained mobile devices to a cloud to improve tracking performance and reduce power consumption. More than that, SeeNav implements a context-aware task scheduling algorithm that further minimizes energy consumption while maintaining the accuracy of camera pose estimation. Our experimental results, including a user study, show that SeeNav provides seamless navigation experience and reduces the overall energy consumption by 21.56% with context-aware task scheduling.
Original language | English |
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Title of host publication | Proceedings of the Thematic Workshops of ACM Multimedia 2017 |
Subtitle of host publication | Thematic Workshops '17 |
Publisher | ACM |
Pages | 186-193 |
Number of pages | 8 |
ISBN (Electronic) | 978-1-4503-5416-5 |
DOIs | |
Publication status | Published - 23 Oct 2017 |
MoE publication type | A4 Article in a conference publication |
Event | ACM Multimedia - Mountain View, United States Duration: 23 Oct 2017 → 27 Oct 2017 Conference number: 25 |
Conference
Conference | ACM Multimedia |
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Abbreviated title | ACMMM |
Country | United States |
City | Mountain View |
Period | 23/10/2017 → 27/10/2017 |
Keywords
- Augmented reality
- indoor navigation
- energy-efficient
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Projects
- 1 Finished
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Image-based indoor product navigation system
Ylä-Jääski, A., Xiao, Y., Noreikis, M., Looga, V., Dong, J., Juntunen, H., Zhang, N. & Shin, H.
01/08/2016 → 31/05/2017
Project: Business Finland: New business from research ideas (TUTLI)