Efficient object motion prediction using fuzzy Petri net based modelling in a robot navigational environment
by Vijay S. Rajpurohit; M.M. Manohara Pai
International Journal of Vehicle Autonomous Systems (IJVAS), Vol. 10, No. 1/2, 2012

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.

Online publication date: Wed, 31-Dec-2014

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