Abstract
Nowadays, the research on robot on-map localization while using landmarks is more intensively dealing with visual code recognition. One of the most popular landmarks of this type is the QR-code. This paper is devoted to the experimental evaluation of vision-based on-map localization procedures that apply QR-codes or NAO marks, as implemented in service robot control systems. In particular, the NAO humanoid robot is our test-bed platform, while the use of robotic systems for hazard detection is the motivation of this study. Especially, the robot can be a useful aid for elderly people affected by dementia and cognitive disorientation. The detection of the door opening is assumed to be important to ensure safety in the home environment. Thus, the paper focus on door opening detection while using QR-codes.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Li, W., Duan, F., Chen, B., Yuan, J., Tan, J.T.C., Xu, B.: Mobile robot action based on qr code identification. In: Proceedings of the 2012 International Conference on Robotics and Biomimetics, IEEE (2012)
Kobayashil, H.: A new proposal for self-localization of mobile robot by self-contained 2d barcode landmark. In: 2012 Proceedings of SICE Annual Conference, SICE (2012)
Deyle, T., Reynolds, M.S., Kemp, C.C.: Finding and navigating to household objects with uhf rfid tags by optimizing rf signal strength. In: Proceedings IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS (2014)
George, L., Mazel, A.: Humanoid robot indoor navigation based on 2d bar codes: Application to the nao robot. In: Proceedings of the 13th IEEE-RAS International Conference on Humanoid Robots, Humanoids (2013)
Fiala, M.: Artag, a fiducial marker system using digital techniques. In: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (2005)
Zheng, R., Yuan, K.: Mr code for indoor robot self-localization. In: Proceedings of the 7th World Congress on Intelligent Control and Automation (2008)
Dzodzo, B., Han, L., Chen, X., Qian, H., Xu, Y.: Realtime 2d code based localization for indoor robot navigation. In: Proceedings of the IEEE International Conference on Robotics and Biomimetics, ROBIO (2013)
Figat, J., Kornuta, T., Kasprzak, W.: Performance evaluation of binary descriptors of local features. In: Chmielewski, L.J., Kozera, R., Shin, B.-S., Wojciechowski, K. (eds.) ICCVG 2014. LNCS, vol. 8671, pp. 187–194. Springer, Heidelberg (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Figat, J., Kasprzak, W. (2015). NAO-mark vs QR-code Recognition by NAO Robot Vision. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M. (eds) Progress in Automation, Robotics and Measuring Techniques. Advances in Intelligent Systems and Computing, vol 351. Springer, Cham. https://doi.org/10.1007/978-3-319-15847-1_6
Download citation
DOI: https://doi.org/10.1007/978-3-319-15847-1_6
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-15846-4
Online ISBN: 978-3-319-15847-1
eBook Packages: EngineeringEngineering (R0)