Motion Prediction of Moving objects in a Robot Navigational Environment using Fuzzy-Based Decision tree Approach

Rajpurohit, Vijay S and Pai, Manohara M.M. (2010) Motion Prediction of Moving objects in a Robot Navigational Environment using Fuzzy-Based Decision tree Approach. Journal of Automation, Mobile Robotics & Intelligent Systems, 4 (4). pp. 11-18. ISSN 1897-8649

[img] PDF
2._JAMRIS_No04_2010_P_11-18.pdf - Published Version
Restricted to Registered users only

Download (1MB) | Request a copy
Official URL: http://www.jamris.org/issue_04_2010.php

Abstract

In a dynamic robot navigation system the robot has to avoid both static and dynamic objects on its way to destination. Predicting the next instance position of a moving object in a navigational environment is a critical issue as it involves uncertainty. This paper proposes a fuzzy rulebased motion prediction algorithm for predicting the next instance position of moving human motion patterns. Fuzzy rule base has been optimized by directional space approach and decision tree approach. The prediction algorithm is tested for real-life bench- marked human motion 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.

Item Type: Article
Uncontrolled Keywords: short term motion prediction, fuzzy rule base,rule base optimization, fuzzy predictor algorithm, directional space approach, decision tree approach.
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Engineering > MIT Manipal > Information and Communication Technology
Depositing User: MIT Library
Date Deposited: 14 Aug 2012 09:31
Last Modified: 14 Aug 2012 09:31
URI: http://eprints.manipal.edu/id/eprint/76854

Actions (login required)

View Item View Item