Efficient object motion prediction using fuzzy Petri net based modelling in a robot navigational environment

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
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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