Efficient object motion prediction using adaptive fuzzy navigational environment

Vijay S. Rajpurohit, M. M.Manohara Pai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper proposes an adaptive Fuzzy rule based motion prediction algorithm for predicting the next instance position of a moving object. The prediction algorithm is tested for real-life bench-marked data sets and compared with existing motion prediction techniques. Results of the study indicate that the performance of the predictor is comparable to the existing prediction methods.

Original languageEnglish
Title of host publicationInformation Technology and Mobile Communication - International Conference, AIM 2011, Proceedings
Pages1-5
Number of pages5
DOIs
Publication statusPublished - 28-04-2011
EventInternational Conference on Information Technology and Mobile Communication, AIM 2011 - Nagpur, Maharashtra, India
Duration: 21-04-201122-04-2011

Publication series

NameCommunications in Computer and Information Science
Volume147 CCIS
ISSN (Print)1865-0929

Conference

ConferenceInternational Conference on Information Technology and Mobile Communication, AIM 2011
CountryIndia
CityNagpur, Maharashtra
Period21-04-1122-04-11

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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  • Cite this

    Rajpurohit, V. S., & Pai, M. M. M. (2011). Efficient object motion prediction using adaptive fuzzy navigational environment. In Information Technology and Mobile Communication - International Conference, AIM 2011, Proceedings (pp. 1-5). (Communications in Computer and Information Science; Vol. 147 CCIS). https://doi.org/10.1007/978-3-642-20573-6_1