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Research Spending & Results

Award Detail

Awardee:REGENTS OF THE UNIVERSITY OF MINNESOTA
Doing Business As Name:University of Minnesota-Twin Cities
PD/PI:
  • Nikolaos Papanikolopoulos
  • (612) 625-0163
  • npapas@cs.umn.edu
Co-PD(s)/co-PI(s):
  • Ibrahim V Isler
  • Maria L Gini
Award Date:07/27/2009
Estimated Total Award Amount: $ 264,000
Funds Obligated to Date: $ 1,110,399
  • FY 2011=$53,750
  • FY 2015=$225,980
  • FY 2014=$225,776
  • FY 2010=$150,000
  • FY 2009=$66,000
  • FY 2013=$306,893
  • FY 2012=$82,000
Start Date:08/01/2009
End Date:04/30/2017
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:0934327
DUNS ID:555917996
Parent DUNS ID:117178941
Program:IUCRC-Indust-Univ Coop Res Ctr
Program Officer:
  • Thyagarajan Nandagopal
  • (703) 292-4550
  • tnandago@nsf.gov

Awardee Location

Street:200 OAK ST SE
City:Minneapolis
State:MN
ZIP:55455-2070
County:Minneapolis
Country:US
Awardee Cong. District:05

Primary Place of Performance

Organization Name:University of Minnesota-Twin Cities
Street:200 OAK ST SE
City:Minneapolis
State:MN
ZIP:55455-2070
County:Minneapolis
Country:US
Cong. District:05

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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W. Beksi and N. Papanikolopoulos "3D Region Segmentation Using Topological Persistence" IROS 2016, v., 2016, p.1079.

N. Bird and N. Papanikolopoulos "Optimal Image-Based Euclidean Calibration of Structured Light Systems in General Scenes" IEEE Transactions on Automation Science and Engineering, v.8, 2011, p.8.

Ribnick, Evan; Sivalingam, Ravishankar; Papanikolopoulos, Nikolaos; Daniilidis, Kostas "Reconstructing and analyzing periodic human motion from stationary monocular views" COMPUTER VISION AND IMAGE UNDERSTANDING, v.116, 2012, p.815-826.

J. Andersh, A, Cherian, B. Mettler, and N. Papanikolopoulos "A Vision Based Ensemble Approach to Velocity Estimation for Miniature Rotorcraft" Autonomous Robots, v.39, 2015, p.123.

Ravishankar Sivalingam, Daniel Boley, Vassilios Morellas, and Nikos Papanikolopoulos "Tensor Sparse Coding for Positive Definite Matrices" IEEE Transactions on Pattern Analysis and Machine Intelligence, v.36, 2014, p.592.

S. Atev, G. Miller, and N. Papanikolopoulos "Clustering of Vehicle Trajectories" IEEE Transactions on ITS, v.11, 2010, p.647.

Min, Hyeun Jeong; Papanikolopoulos, Nikolaos "Robot Formations Using a Single Camera and Entropy-based Segmentation" JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, v.68, 2012, p.21-41.

R. Sivalingam, D. Boley, V. Morellas, and N. Papanikolopoulos "Tensor Sparse Coding for Positive Definite Matrices" IEEE Transactions on Pattern Analysis and Machine Intelligence, v.36, 2014, p.592.

R. Sivalingam, D. Boley, V. Morellas, and N. Papanikolopoulos "Tensor Dictionary Learning for Positive Definite Matrices" IEEE Transactions on Image Processing, v.24, 2015, p.4592.

Anoop Cherian, Suvrit Sra, Vassilios Morellas, and Nikos Papanikolopoulos "Efficient Nearest Neighbors via Robust Sparse Hashing" IEEE Transactions on Image Processing, v.23, 2014, p.3646.

E. Ribnick, R. Sivalingam, N. Papanikolopoulos, and K. Daniilidis "Reconstructing and Analyzing Periodic Human Motion from Stationary Monocular Views" Computer Vision and Image Understanding, v.116, 2012, p.815.

Publications Produced as Conference Proceedings

Cherian, A;Andersh, J;Morellas, V;Mettler, B;Papanikolopoulos, N "Motion Estimation of a Miniature Helicopter Using a Single Onboard Camera" American Control Conference, v. , 2010, p.4456 View record at Web of Science

Joshi, AJ;Porikli, F;Papanikolopoulos, N "Breaking the interactive bottleneck in multi-class classification with active selection and binary feedback" 23rd IEEE Conference on Computer Vision and Pattern Recognition (CVPR), v. , 2010, p.2995 View record at Web of Science

Sivalingam, R;Boley, D;Morellas, V;Papanikolopoulos, N "Tensor Sparse Coding for Region Covariances" 11th European Conference on Computer Vision, v.6314, 2010, p.722 View record at Web of Science

Joshi, AJ;Porikli, F;Papanikolopoulos, N "Multi-class batch-mode active learning for image classification" IEEE International Conference on Robotics and Automation (ICRA), v. , 2010, p.1873 View record at Web of Science

Sivalingam, R;Boley, D;Morellas, V;Papanikolopoulos, N "Positive Definite Dictionary Learning for Region Covariances" IEEE International Conference on Computer Vision (ICCV), v. , 2011, p.1013 View record at Web of Science

Cherian, A;Sra, S;Banerjee, A;Papanikolopoulos, N "Efficient Similarity Search for Covariance Matrices via the Jensen-Bregman LogDet Divergence" IEEE International Conference on Computer Vision (ICCV), v. , 2011, p.2399 View record at Web of Science

Bhatawadekar, V;Sivalingam, R;Papanikolopoulos, N "A Dynamic Sensor Placement Algorithm for Dense Sampling" IEEE/RSJ International Conference on Intelligent Robots and Systems, v. , 2011, p.1167 View record at Web of Science

Cherian, A;Morellas, V;Papanikolopoulos, N;Bedros, SJ "Dirichlet Process Mixture Models on Symmetric Positive Definite Matrices for Appearance Clustering in Video Surveillance Applications" IEEE Conference on Computer Vision and Pattern Recognition (CVPR), v. , 2011, p. View record at Web of Science


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.

The purpose of this reserach effort was to continue and expand the research, educational, and outreach  activities in the areas of  safety, security and rescue (SSR). The University of Minnesota (UMN) participated along with the University of Denver, the University of Pennsylvania, and the University of North Carolina-Charlotte.  UMN was the lead research site for the effort. Numerous companies and state/federal agencies particpated as well.

The  Center provided 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 was built upon the knowledge and expertise of multi-disciplinary researchers in computer science, engineering, human factors, and psychology at the four institutions. The Center was successful because it built on existing strengths developed during the ten years of operation. The Center  also educated and trained researchers for industry and government. 

The broader impact of the  center was to radically improve search and rescue in all dimensions. The Center encouraged collaboration, and  nurtured an emerging field of research and the associated industries, thus helping to establish the challenges of the field and acceptable research and evaluation methodologies. The Center exposed students and faculty to state-of-the-art research projects of value to the industry, and attracted large companies to the SSR domains and energized innovative start-up companies. Students had opportunities for industrial internships with members. Faculty in the Center recruited 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. More than 700 students partiipated in these events..Some of the UMN projects included:

(1)  Precision Vision-Based Rotorcraft Landing: Investigation of Opportunities and Performance Baseline using Small-Scale Rotorcraft Test Facility – PI:  Dr. Bérénice Mettler

(2)  Motion-Mode Detection in Personal Navigation Systems – PI: Dr. Demoz Gebre-Egziabher

(3)  Mixed human-robot-agent teams for urban search and rescue – PI: Dr. Maria Gini

(4)  On-line Adaptive Learning for Persistent Vehicle Parking Occupancy Detection – PI: Dr. Vassilios Morellas

(5)  Agricultural Robotics Thrust (ART) – Phase I Definition – PI: Dimitris Zermas.

(6) Cancer Detection and Annotation in Slides- PI: Nikos Papanikolopoulos

 

Some of the outcomes include:

1) The new MN State Initiative on Robotics (MnDRIVE) was partially based on the success of the IUCRC robotics projects. Subsequently, an anonymous donor provided $10M for a new Robotics Building at UMN.

2) Work on surveillance has been incorporated into the Hyperion surveillance system and has been transferred to the Twin Cities Airport through an older nswg contract.

3) The Scout robot has been very successful. The UMN startup ReconRobotics Inc., has deployed them in 50 countries and more than 60 agencies. The scouts are used in Iraq and Afghanistan and by various SWAT teams. More than 4,000 robots have been deployed and the company had annual sales of $21M in early 2010.

4) The Adelopod and Aquapod systems, along with the pertinent HRI were used to evaluate the Gulf oil spill impacts.

 

 

 


Last Modified: 05/17/2017
Modified by: Nikolaos Papanikolopoulos

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