Category Archives: Mobile computing

Appearing at IEEE INFOCOM’23: Edge-Assisted Adaptive SLAM with Resource Constraints

AdaptSLAM, our recent work led by Ying Chen, explores new approaches for adapting edge computing-supported Visual and Visual-Inertial Simultaneous Localization and Mapping (V- and VI-SLAM) to computation and communication resource constraints. Adapt SLAM’s system architecture. Our design centers on the … Continue reading

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SenSys 2022 Demo: Through an AR Lens

Sarah Eom has demonstrated our ongoing work on AR-based magnification for hand-held loupes at ACM SenSys’22 in Boston, MA. This work is based on a collaboration with Miroslav Pajic (Duke ECE) and Majda Hadziahmetovic (Duke Ophthalmology). [Demo description PDF] [Accompanying poster PDF]

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Two papers appearing at IEEE ISMAR’22

We are delighted to have two of lab’s papers appear at the top AR/MR conference, IEEE International Symposium on Mixed and Augmented Reality (ISMAR) 2022 (acceptance rate: 21%). In a paper led by PhD student Sarah Eom titled NeuroLens: Augmented … Continue reading

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AI Institute I3T Lab Showcase

At the Athena AI Institute‘s 1st Annual Summit held at Duke University in August 2022, 4 members of the lab presented posters and showcased the work of the lab during the I3T Lab Tour. The projects showcased during the summit covered … Continue reading

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IEEE INFOCOM 2022 Paper and Demo

This week Ying Chen is presenting our work on evaluating and exploiting characteristics of user pose in VR at IEEE INFOCOM’22, in a paper and an accompanying demonstration:  VR Viewport Pose Model for Quantifying and Exploiting Frame Correlations presents the … Continue reading

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I3T Lab Hiring a Postdoc

Duke University I^3T Lab has an opening for a postdoc.  We work in the area of pervasive mobile and sensing systems broadly, and pervasive mobile Augmented Reality (AR) and next-generation intelligence for the Internet of Things in particular. Our work is generously supported by the … Continue reading

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Two Papers Appearing at Workshops Co-Located with IEEE VR 2022

Two papers from the group are set to be presented at workshops co-located with IEEE VR 2022. Both papers are centered on end applications of next-generation augmented reality (AR) techniques we are currently developing in our lab.

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I3T Lab Hiring PhD Students and Postdocs

Duke University I^3T Lab has multiple openings for PhD students and postdocs. We work in the area of pervasive mobile and sensing systems broadly, and pervasive mobile Augmented Reality (AR) and next-generation intelligence for the Internet of Things in particular. … Continue reading

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Summer 2021: 3 REU Projects on Next-generation Mobile AR

This summer we were fortunate to be able to virtually host 3 Research Experience for Undergraduates (REU) students in the I^3T Lab, through the Duke University REU Site for Meeting Grand Challenges in Engineering. The research students were engaged in … Continue reading

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IEEE/ACM IPSN Paper: Edge-assisted Collaborative Image Recognition for Mobile Augmented Reality

Our paper on image recognition for mobile augmented reality in the presence of image distortions appeared in IEEE/ACM IPSN’20 and received the conference’s Best Research Artifact Award [ Paper PDF ] [ Presentation slides ] [ Video of the presentation … Continue reading

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