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

PDF IJVAS_10_1-2_Paper_02.pdf - Published Version Restricted to Registered users only Download (2MB) | Request a copy

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.

Actions (login required)

View Item