ABSTRACT
The National Institute of Standards and Technology (NIST) is leading an effort to develop performance standards for urban search and rescue robots (US&R). An important component 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 Disaster City training facility in College Station, Texas. Several indoor and outdoor training scenarios were captured with 3D imaging systems and the data is now publicly available through NIST to support research and development of robotic technologies for the US&R domain.
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- Ground truth data using 3D imaging for urban search and rescue robots
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