Abstract
In this paper, we consider real-time tracking of an Autonomous Guided Vehicle (AGV) in an indoor industrial scenario. An on-board odometer provides information about the dynamic state of the AGV, allowing to predict its pose (position and orientation). At the same time, an external Ultra Wide Band (UWB) wireless network provides the information necessary to compensate the error drift accumulated by the odometer. Two novel alternative solutions for real-time tracking are proposed: (i) a classical Time Differences of Arrivals (TDOA) approach with a single receiver; (ii) a “Twin-receiver” TDOA (TTDOA) approach, that requires the presence of two independent receivers on the AGV. The performance of the two proposed algorithms is evaluated in realistic conditions. The obtained results clearly show the tradeoff existing between the frequency of UWB measurements and their quality.
Keywords
- Extend Kalman Filter
- Autonomous Vehicle
- Reference Node
- Ultra Wide Band
- Collision Domain
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, access via your 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
Part 15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low-Rate Wireless Personal Area Networks (WPANs). Amendment 1: Add Alternate PHYs (August 2007)
Anderson, R., Bevly, D.: Estimation of slip angles using a model based estimator and GPS. In: Proceedings of the American Control Conference, Boston, MA, USA, vol. 3, pp. 2122–2127 (June 2004)
Bevly, D., Ryu, J., Gerdes, J.: Integrating INS sensors with GPS measurements for continuous estimation of vehicle sideslip, roll, and tire cornering stiffness. IEEE Transactions on Intelligent Transportation Systems 7(4), 483–493 (2006)
Busanelli, S., Ferrari, G.: UWB-based tracking of autonomous vehicles with multiple receivers: Extended analytical framework. Tech. rep., n. 2010-09-17-GF, Dept. of Inform. Eng., University of Parma, Italy. Available upon request (September 2010)
Gezici, S., Poor, H.: Position estimation via ultra-wideband signals. Proceedings of the IEEE 97(2), 386–403 (2009)
Gezici, S., Zhi, T., Giannakis, G.B., Kobayashi, H., Molisch, A.F., Poor, H.V., Sahinoglu, Z.: Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks. IEEE Signal Processing Mag. 22(4), 70–84 (2005)
Guvenc, I., Chong, C.C., Watanabe, F., Inamura, H.: NLOS identification and weighted least-squares localization for UWB systems using multipath channel statistics. EURASIP J. Adv. Signal Process 2008, 36 (2008)
Haykin, S.: Adaptive filter theory. Prentice-Hall, Englewood Cliffs (2002)
Jourdan, D.B., Roy, N.: Optimal sensor placement for agent localization. ACM Trans. Sen. Netw. 4(3), 1–40 (2008)
Levanon, N.: Lowest GDOP in 2-D scenarios. IEE Proceedings-Radar, Sonar and Navigation 147(3), 149–155 (2000)
Nájar, M., Vidal, J.: Kalman tracking based on TDOA for UMTS mobile location. In: Proc. IEEE International Symposium on Personal and Indoor and and Mobile Radio Commun., vol. 1, pp. B45–B49 (September 2001)
Rigatos, G.: Extended Kalman and particle filtering for sensor fusion in motion control of mobile robots. Math. Comput. Simul (May 2010)
Teslić, L., Škrjanc, I., Klančar, G.: EKF-based localization of a wheeled mobile robot in structured environments. Springer Journal of Intelligent and Robotic Systems, 1–17 (June 2010)
Ubisense System Overview: http://ubisense.net
Win, M., Scholtz, R.: Impulse radio: how it works. IEEE Commun. Letters 2(2), 36–38 (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Busanelli, S., Ferrari, G. (2010). UWB-Based Tracking of Autonomous Vehicles with Multiple Receivers. In: Kim, Th., Chang, A.CC., Li, M., Rong, C., Patrikakis, C.Z., Ślęzak, D. (eds) Communication and Networking. FGCN 2010. Communications in Computer and Information Science, vol 119. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17587-9_22
Download citation
DOI: https://doi.org/10.1007/978-3-642-17587-9_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17586-2
Online ISBN: 978-3-642-17587-9
eBook Packages: Computer ScienceComputer Science (R0)