Performance Evaluation of a Semantic Perception Classifier

Report No. ARL-TR-6653
Authors: Craig Lennon, Barry Bodt, Marshal Childers, Rick Camden, Arne Suppe, Luis Navarro-Serment, and Nicoleta Florea
Date/Pages: September 2013; 78 pages
Abstract: In order to assess the technology developed by members of the U.S. Army Research Laboratory's Robotics Collaborative Technology Alliance (RCTA), RCTA's Integration and Assessment team conducts experiments to test the limits of developed technologies. We conducted such an assessment in October 2013 to evaluate the performance of a semantic labeling system developed by researchers at Carnegie Mellon University. The system consists of a Basler AC1300gc camera with Fujinon TF28DA8 lens and processing software, which runs on a laptop computer. The apparatus functions on small robotic platforms, such as a K-bot. This report details the design for our data collection and our assessment of the technology by examining precision, recall, and F measure via exploratory data analysis and analysis of variance (ANOVA).
Distribution: Approved for public release
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Last Update / Reviewed: September 1, 2013