Abstract
This paper proposes an adaptive Fuzzy rule based motion prediction algorithm for predicting the next instance position of a moving object. The prediction algorithm is tested for real-life bench-marked data sets and compared with existing motion prediction techniques. Results of the study indicate that the performance of the predictor is comparable to the existing prediction methods.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Foka, A., Trahanias, P.E.: Predictive Autonomous Robot navigation. In: Proceedings of the 2002 IEEE/RSJ International Conference on Intelligent Robots and Systems, EFPL, Lausanne, Switzerland, pp. 490–494 (October 2002)
Fayad, C., Web, P.: Optimized Fuzzy logic based algorithm for a mobile robot collision avoidance in an unknown environment. In: 7th European Congress on Intelligent Techniques & Soft Computing, Aachen, Germany, September 13-16 (1999)
Angelopoulou, E., Hong, T.-H., Wu, A.Y.: World Model Representa- tion for Mobile Robots. In: Proceedings of the Intelligent Vehicles 1992 Symposium, pp. 293–297 (1992)
Madhavan, R., Schlenoff, C.: Moving Object Prediction for Off-road Au- tonomous Navigation. In: Proceedings of the SPIE Aerosense Conference, April 21-25 (2003)
Fisher, R., Santos-Victor, J., Crowley, J.: CAVIAR Video Sequence Ground Truth (2001), http://homepages.inf.ed.ac.uk/rbf/CAVIAR/
Zhuang, H.-Z., Du, S.-X., Wu, T. -j.: On-line real-time path planning of mobile Robots in dynamic uncertain environment. Journal of Zheing University Science A, 516–524 (2006)
Zhu, Q.: Hidden Markov Model for Dynamic Object Avoidance of Mobile Robot Navigation. IEEE Transactions on Robotics and Automation, 390–396 (1991)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Rajpurohit, V.S., Pai, M.M.M. (2011). Efficient Object Motion Prediction Using Adaptive Fuzzy Navigational Environment. In: Das, V.V., Thomas, G., Lumban Gaol, F. (eds) Information Technology and Mobile Communication. AIM 2011. Communications in Computer and Information Science, vol 147. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20573-6_1
Download citation
DOI: https://doi.org/10.1007/978-3-642-20573-6_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20572-9
Online ISBN: 978-3-642-20573-6
eBook Packages: Computer ScienceComputer Science (R0)