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Ground Truth Data Using 3D Imaging for Urban Search and Rescue Robots

Published

Author(s)

Nicholas A. Scott, Alan M. Lytle

Abstract

The National Institute of Standards and Technology (NIST) is leading an effort to develop performance standards for ur- ban search and rescue robots (US&R). An important com- ponent of developing performance standards for these robots is capturing ground truth data that represents the geometry of the robot operating environment. This paper describes two ground truth data collection efforts conducted in 2006 and 2008 at the Texas Engineering Extension Service Dis- aster City training facility in College Station, Texas. Sev- eral indoor and outdoor training scenarios were captured with 3D imaging systems and the data is now publicly avail- able through NIST to support research and development of robotic technologies for the US&R domain.
Proceedings Title
Proceedings of the 2009 Performance Metrics for Intelligent Systems (PerMIS) Workshop
Conference Dates
September 21-23, 2009
Conference Location
Gaithersburg, MD
Conference Title
The 2009 Performance Metrics for Intelligent Systems (PerMIS) Workshop

Keywords

robotics, ground truth, 3D imaging, urban search and rescue

Citation

Scott, N. and Lytle, A. (2009), Ground Truth Data Using 3D Imaging for Urban Search and Rescue Robots, Proceedings of the 2009 Performance Metrics for Intelligent Systems (PerMIS) Workshop, Gaithersburg, MD, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=903811 (Accessed June 6, 2023)
Created October 14, 2009, Updated February 19, 2017