Rajpurohit, Vijay S and Pai, Manohara M.M. (2012) Efficient object motion prediction using fuzzy Petri net based modelling in a robot navigational environment. International Journal of Vehicle Autonomous Systems , 10 (1/2). pp. 19-40. ISSN 1471-0226
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Abstract
Predicting the next instance position of a moving object in a dynamic navigational environment is a critical issue as it involves uncertainty. This paper proposes a fuzzy rule-based motion prediction algorithm for predicting the next instance position of a moving object. The algorithm is robust in handling the uncertain data of real-life situation. The fuzzy rule base modeling is done using Fuzzy Petri Net (FPN) formalism. The prediction algorithm is tested for real-life bench-marked data sets and compared with existing motion prediction techniques. The performance of the algorithm is comparable to the existing prediction methods.
Item Type: | Article |
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Additional Information: | © 2012 Inderscience Enterprises Ltd. |
Uncontrolled Keywords: | short term motion prediction; fuzzy rule base; rule base optimisation; fuzzy predictor algorithm; fuzzy Petri net model; directional space approach; table look-up operation. |
Subjects: | Engineering > MIT Manipal > Computer Science and Engineering Engineering > MIT Manipal > Information and Communication Technology |
Depositing User: | MIT Library |
Date Deposited: | 29 Jun 2012 11:34 |
Last Modified: | 29 Jun 2012 11:34 |
URI: | http://eprints.manipal.edu/id/eprint/76773 |
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