Award Abstract # 1846320
CAREER: Enabling Seamless Vision Sensing in Cloud-Edge Systems

NSF Org: CNS
Division Of Computer and Network Systems
Recipient: THE RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK
Initial Amendment Date: May 10, 2019
Latest Amendment Date: June 8, 2023
Award Number: 1846320
Award Instrument: Continuing Grant
Program Manager: Marilyn McClure
mmcclure@nsf.gov
 (703)292-5197
CNS
 Division Of Computer and Network Systems
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: June 1, 2019
End Date: May 31, 2025 (Estimated)
Total Intended Award Amount: $549,369.00
Total Awarded Amount to Date: $648,932.00
Funds Obligated to Date: FY 2019 = $113,788.00
FY 2020 = $105,318.00

FY 2021 = $108,139.00

FY 2022 = $209,638.00

FY 2023 = $112,049.00
History of Investigator:
  • Karthik Dantu (Principal Investigator)
    kdantu@buffalo.edu
Recipient Sponsored Research Office: SUNY at Buffalo
520 LEE ENTRANCE STE 211
AMHERST
NY  US  14228-2577
(716)645-2634
Sponsor Congressional District: 26
Primary Place of Performance: University at Buffalo,State University of New York
338 Davis Hall
Buffalo
NY  US  14260-2500
Primary Place of Performance
Congressional District:
26
Unique Entity Identifier (UEI): LMCJKRFW5R81
Parent UEI: GMZUKXFDJMA9
NSF Program(s): GVF - Global Venture Fund,
Information Technology Researc,
CSR-Computer Systems Research
Primary Program Source: 01002324DB NSF RESEARCH & RELATED ACTIVIT
01001920DB NSF RESEARCH & RELATED ACTIVIT

01002021DB NSF RESEARCH & RELATED ACTIVIT

01002223DB NSF RESEARCH & RELATED ACTIVIT

01002122DB NSF RESEARCH & RELATED ACTIVIT

01002223DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 120Z, 1045
Program Element Code(s): 054Y00, 164000, 735400
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070, 47.079

ABSTRACT

Mobile devices such as smartphones have changed our daily lives. With the growth in the capabilities of smartphones as well as wearables such as "smart glasses", the next decade promises richer capabilities in terms of augmented reality, improved contextual sensing and more seamless computing that will integrate into our day-to-day lives. However, vision sensing applications, which are fueled by the improved understanding of user context, are highly resource and energy intensive, reducing useful operation time.

This project will enable the design of such applications by providing a programming framework that allows future applications to leverage cloud computation seamlessly, to provide the user with a good quality of service for the intended application while removing from programmers the burden of reasoning about where the computation should happen. The project includes plans for integration of research in education, broadening participation, and educational outreach.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Semenova, Sofiya and Ko, Steven Y. and Liu, Yu David and Ziarek, Lukasz and Dantu, Karthik "A quantitative analysis of system bottlenecks in visual SLAM" Proceedings of the 23rd Annual International Workshop on Mobile Computing Systems and Applications , 2022 https://doi.org/10.1145/3508396.3512882 Citation Details
Ali, Ali J. and Hashemifar, Zakieh Sadat and Dantu, Karthik "Edge-SLAM: edge-assisted visual simultaneous localization and mapping" MobiSys '20: Proceedings of the 18th International Conference on Mobile Systems, Applications, and Services , 2020 10.1145/3386901.3389033 Citation Details
Ali, Ali J. and Kouroshli, Marziye and Semenova, Sofiya and Hashemifar, Zakieh Sadat and Ko, Steven Y. and Dantu, Karthik "Edge-SLAM: Edge-Assisted Visual Simultaneous Localization and Mapping" ACM Transactions on Embedded Computing Systems , v.22 , 2023 https://doi.org/10.1145/3561972 Citation Details
Hashemifar, Zakieh and Dantu, Karthik "Practical Persistence Reasoning in Visual SLAM" IEEE International Conference on Robotics and Automation , 2020 Citation Details

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