Abstract
The robotics community is concerned with the ability to infer and compare the results from researchers in areas such as vision perception and multi-robot cooperative behavior. To accomplish that task, this paper proposes a real-time indoor visual ground truth system capable of providing accuracy with at least more magnitude than the precision of the algorithm to be evaluated. A multi-camera architecture is proposed under the ROS (Robot Operating System) framework to estimate the 3D position of objects and the implementation and results were contextualized to the Robocup Middle Size League scenario.
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Achtelik, M., Weiss, S., Chli, M., Dellaert, F., Siegwart, R.: Collaborative stereo. In: Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS (2011)
Augenstein, S.: Monocular Pose and Shape Estimation of Moving Targets, for Autonomous Rendezvous and Docking. PhD thesis, Stanford University (2011)
Chrony, http://chrony.tuxfamily.org/
Torres, P.R., Murta, C.D.: Characterizing quality of time and topology in a time synchronization network. In: 49th IEEE Global Telecommunications Conference, IEEE GLOBECOM 2006 (2006)
Hartley, R.I., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge University Press (2004) ISBN: 0521540518
Computational Interaction and Robotics lab John Hopkins University. A brief tour of xvision (2008), http://www.cs.jhu.edu/CIPS/xvision
Khandelwal, P., Stone, P.: A low cost ground truth detection system for roboCup using the kinect. In: Röfer, T., Mayer, N.M., Savage, J., Saranlı, U. (eds.) RoboCup 2011. LNCS (LNAI), vol. 7416, pp. 515–527. Springer, Heidelberg (2012)
Koch, A., Berthelot, A., Eckstein, B., Zweigle, O., Häussermann, K., Käppeler, U.-P., Tamke, A., Rajaie, H., Levi, P.: Advanced data logging in robocup. In: Dillmann, Beyerer, Stiller, Zöllner (eds.) Proceedings of the AMS 2009, Autonome Mobile Systeme, Karlsruhe, Germany, December 3-4. Informatik Aktuell, pp. 1–8. Springer (2009)
Lee, G.H., Achtelik, M., Fraundorfer, F., Pollefeys, M., Siegwart, R.: A benchmarking tool for mav visual pose estimation. In: Proc. 11th Int. Control Automation Robotics & Vision (ICARCV) Conf., pp. 1541–1546 (2010)
Lochmatter, T., Roduit, P., Cianci, C., Correll, N., Jacot, J., Martinoli, A.: Swistrack - a flexible open source tracking software for multi-agent systems. In: Proc. IEEE/RSJ Int. Conf. Intelligent Robots and Systems, IROS 2008, pp. 4004–4010 (2008)
Michael, N., Shen, S., Mohta, K., Mulgaonkar, Y., Kumar, V., Nagatani, K., Okada, Y., Kiribayashi, S., Otake, K., Yoshida, K., Ohno, K., Takeuchi, E., Tadokoro, S.: Collaborative mapping of an earthquake-damaged building via ground and aerial robots. Journal of Field Robotics 29(5), 832–841 (2012)
Euron European Robotics Search Network. Introduction: Benchmarks in robotics research, http://www.robot.uji.es/EURON/en/index.htm
Niemüller, T., Ferrein, A., Eckel, G., Pirro, D., Podbregar, P., Kellner, T., Rath, C., Steinbauer, G.: Providing ground-truth data for the nao robot platform. In: Ruiz-del-Solar, J. (ed.) RoboCup 2010. LNCS, vol. 6556, pp. 133–144. Springer, Heidelberg (2010)
Parks, D.H., Fels, S.S.: Evaluation of background subtraction algorithms with post-processing. In: IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance, AVSS 2008, pp. 192–199 (September 2008)
Röfer, T., Laue, T., Müller, J., Fabisch, A., Feldpausch, F., Gillmann, K., Graf, C., de Haas, T.J., Härtl, A., Humann, A., Honsel, D., Kastner, P., Kastner, T., Könemann, C., Markowsky, B., Lars Riemann, O.J., Wenk, F.: B-human team report and code release 2011, p. 79 and p. 80 (2011)
Miller, P., Fry, S.N., Bichsel, M., Robert, D.: Tracking of flying insects using pan-tilt cameras. Journal of Neuroscience Methods 101, 59–76 (2000)
Silva, H., Dias, A., Almeida, J., Martins, A., Silva, E.: Real-time 3d ball trajectory estimation for robocup middle size league using a single camera. In: Röfer, T., Mayer, N.M., Savage, J., Saranlı, U. (eds.) RoboCup 2011. LNCS, vol. 7416, pp. 586–597. Springer, Heidelberg (2012)
Soltero, D.E., Schwager, M., Rus, D.: Generating informative paths for persistent sensing in unknown environments. In: Proc. of the International Conference on Intelligent Robots and Systems, IROS 2012 (October 2012)
Zickler, S., Laue, T., Birbach, O., Wongphati, M., Veloso, M.: SSL-vision: The shared vision system for the robocup small size league. In: Baltes, J., Lagoudakis, M.G., Naruse, T., Ghidary, S.S. (eds.) RoboCup 2009. LNCS, vol. 5949, pp. 425–436. Springer, Heidelberg (2010)
Stulp, F., Gedikli, S., Beetz, M.: Evaluating multi-agent robotic systems using ground truth. In: Proceedings of the Workshop on Methods and Technology for Empirical Evaluation of Multi-agent Systems and Multi-robot Teams, MTEE (2004)
TechUnited Middle Size League Team. Greenfield augmented reality (2010), http://www.techunited.nl/wiki/index.php?title=GreenfieldAugmentedReality
Vallat, A., Schneuwly, D.: Clock synchronization in telecommunications via ptp (IEEE 1588). In: IEEE International Frequency Control Symposium, 2007 Joint with the 21st European Frequency and Time Forum (2007)
Zhang, Z.: A flexible new technique for camera calibration. IEEE Trans. Pattern Anal. Mach. Intell. 22(11), 1330–1334 (2000)
Zivkovic, Z., van der Heijden, F.: Efficient adaptive density estimation per image pixel for the task of background subtraction. Pattern Recogn. Lett. 27(7), 773–780 (2006)
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Dias, A., Almeida, J., Martins, A., Silva, E. (2013). Real-Time Visual Ground-Truth System for Indoor Robotic Applications. In: Sanches, J.M., Micó, L., Cardoso, J.S. (eds) Pattern Recognition and Image Analysis. IbPRIA 2013. Lecture Notes in Computer Science, vol 7887. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38628-2_36
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DOI: https://doi.org/10.1007/978-3-642-38628-2_36
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