Efficient object motion prediction using Fuzzy Petri Net based modelling in a robot navigational environment

Vijay S. Rajpurohit, M. M. Manohara Pai

Research output: Contribution to journalArticle

1 Citation (Scopus)


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.

Original languageEnglish
Pages (from-to)19-40
Number of pages22
JournalInternational Journal of Vehicle Autonomous Systems
Issue number1-2
Publication statusPublished - 01-07-2012


All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Automotive Engineering
  • Electrical and Electronic Engineering

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