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

Published

October 14, 2009

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

Pub Type

Conferences

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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 November 1, 2025)