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Minimize RSR Award Detail

Research Spending & Results

Award Detail

Awardee:COLORADO SEMINARY
Doing Business As Name:University of Denver
PD/PI:
  • Anneliese Andrews
  • (303) 871-3374
  • andrews@cs.du.edu
Co-PD(s)/co-PI(s):
  • Amy Bauer
  • Mohammad Mahoor
  • Siavash Pourkamali Anaraki
  • Kimon P Valavanis
Award Date:07/27/2009
Estimated Total Award Amount: $ 220,000
Funds Obligated to Date: $ 306,998
  • FY 2012=$110,000
  • FY 2011=$15,998
  • FY 2010=$126,000
  • FY 2009=$55,000
Start Date:08/01/2009
End Date:07/31/2015
Transaction Type:Grant
Agency:NSF
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.070
Primary Program Source:040100 NSF RESEARCH & RELATED ACTIVIT
Award Title or Description:Collaborative Research: I/UCRC for Safety, Security, and Rescue Research
Federal Award ID Number:0934413
DUNS ID:007431760
Parent DUNS ID:007431760
Program:IUCRC-Indust-Univ Coop Res Ctr
Program Officer:
  • Thyagarajan Nandagopal
  • (703) 292-4550
  • tnandago@nsf.gov

Awardee Location

Street:2199 S. University Blvd.
City:Denver
State:CO
ZIP:80210-4711
County:Denver
Country:US
Awardee Cong. District:01

Primary Place of Performance

Organization Name:University of Denver
Street:2199 S. University Blvd.
City:Denver
State:CO
ZIP:80210-4711
County:Denver
Country:US
Cong. District:01

Abstract at Time of Award

0934327 University of Minnesota (UMN); Nikolas Papanikolopoulos 0934413 University of Denver (UD); Richard Voyles The purpose of this proposal is to renew and expand the Center for Center for Safety, Security and Rescue Research (SSR-RC) as an NSF Industry/University Cooperative Research Center. This proposal is based upon UMN's successful completion of five years of operation of the SSR-RC; and the commitment by companies to join a research site at the University of Denver. UMN will be the lead research site for SSR-RC with the University of Pennsylvania (joined the Center a few years ago) and the University of Denver as research partners. This proposal covers the renewal for the second-five years of UMN and the expansion to include UD. The proposed Center will provide integrative robotics, sensing, and artificial intelligence solutions in robotics for activities conducted by the police, FBI, FEMA, transportation safety, and emergency response to mass casualty-related events. The Center is built upon the knowledge and expertise of multi-disciplinary researchers in computer science, engineering, human factors, and psychology at the three institutions. The renewed and expanded Center will be successful because it builds on existing strengths developed during the first five years of operation. The Center will also educate and train researchers for industry and government. The broader impact of the proposed center is to radically improve homeland defense in all dimensions. The proposed Center will encourage collaboration, and will nurture an emerging field of research and the associated industries, thus helping to establish the challenges of the field and acceptable research and evaluation methodologies. SSR-RC will expose students and faculty to state-of-the-art research projects of value to the industry, and plans to attract large companies to the SSR domains and energize innovative start-up companies. Students will have opportunities for industrial internships with members. Faculty in the SSR-RC will continue to aggressively recruit women and minority graduate students through the various I/UCRC supplemental programs, and to host annual summer camps for middle-schoolers from under-represented groups.

Publications Produced as a Result of this Research

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Salah Althloothi, Mohammad H. Mahoor, Richard M. Voyles "A Robust Method for Rotation Estimation Using Spherical Harmonics Representation" IEEE TRANSACTIONS ON IMAGE PROCESSING, v.22, 2013, p.2306-2316.

M. Mahoor, R. Godzdanker, K. Dalamagkidis, K. Valavanis "Vision-based Landing of Light Weight Unmanned Helicopters on a Smart Landing platform" Journal of Intelligent and Robotic Systems, v.61, 2011, p.251.

Althloothi, S.; Mahoor, M. H.; Voyles, R. M. "Fitting distal limb segments for accurate skeletonization in human action recognition" Journal of Ambient Intelligence and Smart Environments, v., 2012, p..


Project Outcomes Report

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

At the Center's inception, its mission was to further development and technology penetration in all areas of homeland security and emergency preparedness through a partnership between industry and academia. At the University of Denver, one of four sites of this IUCRC we supported this mission via developing surveillance technology, image recognition, robotics applications (including marsupial robots, crawler robots, and nano robots), and intelligent display technology. Very importantly, we also made advances in ensuring that these systems are reliable. To this end, we developed a realtime testbed and testing methodology for autonomous systems including testing safe behavior in the presence of failures, testing that security attacks are properly mitigated, and that interactions of robots with their potentially very dynamically changing environments work as intended. We applied these techniques to unmanned ground vehicles, human interaction robots, and search and rescue robots.

Some of our technology solutions are applicable beyond search and rescue applications. For example, we were able to make surveillance technology realtime and applied it for use in nursing homes to alert nurses when patients are trying to get out of bed. This can prevent injuries due to falls. Similarly, we were able to apply image recognition algorithms that were originally used for surveillance to recognize cancerous lesions related to prostate cancer.

Finally, we were able to help with cleaning up in the aftermath of the tsunami in Japan by sending one of our researchers and his crawler robot to the affected area.


Last Modified: 09/30/2015
Modified by: Anneliese Andrews

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