A low cost ground truth detection system for RoboCup using the Kinect

Authors:
Piyush Khandelwal;Peter Stone
Affiliations:
Department of Computer Science, The University of Texas at Austin;Department of Computer Science, The University of Texas at Austin
Venue:
Robot Soccer World Cup XV
Year:
2012

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Abstract

Ground truth detection systems can be a crucial step in evaluating and improving algorithms for self-localization on mobile robots. Selecting a ground truth system depends on its cost, as well as on the detail and accuracy of the information it provides. In this paper, we present a low cost, portable and real-time solution constructed using the Microsoft Kinect RGB-D Sensor. We use this system to find the location of robots and the orange ball in the Standard Platform League (SPL) environment in the RoboCup competition. This system is fairly easy to calibrate, and does not require any special identifiers on the robots. We also provide a detailed experimental analysis to measure the accuracy of the data provided by this system. Although presented for the SPL, this system can be adapted for use with any indoor structured environment where ground truth information is required.