Depending on the amount of data to process, file generation may take longer.

If it takes too long to generate, you can limit the data by, for example, reducing the range of years.

Article

Download file Download BibTeX

Title

Place Classification using Dempster-Shafer Theory

Authors

Year of publication

2017

Published in

Foundations of Computing and Decision Sciences

Journal year: 2017 | Journal volume: vol. 42 | Journal number: no. 3

Article type

scientific article

Publication language

english

Keywords
EN
  • Dempster-Shafer theory
  • place classification
Abstract

EN The paper presents a novel place labeling method. It is assumed that an indoor mobile robot equipped with a camera or RGB-D sensor ambulates an indoor environment. The places visited by the robot are classified based on objects which have been recognized. Each object (or set of objects) votes for a set of room classes. Data aggregation is performed using Dempster-Shafer theory (DST), which can be regarded as a generalization of the Bayesian theory. The possibility of taking into account the uncertainty of data is the main advantage of the described method. The classic Dempster’s rule of data aggregation has been criticized because it can lead to non-intuitive results. Many alternative methods have been proposed and several were tested during our experiments. Most place classification methods assume a closed world model, i.e. a test sample is assigned to the most probable class even if its corresponding probability is very small. An advantage of our system is the intrinsic capability of giving unknown class as an answer in such situations, which can be used by the robot to take appropriate actions.

Pages (from - to)

257 - 273

DOI

10.1515/fcds-2017-0013

URL

https://www.sciendo.com/article/10.1515/fcds-2017-0013

License type

CC BY-NC-ND (attribution - noncommercial - no derivatives)

Full text of article

Download file

Access level to full text

public

Ministry points / journal

15

Ministry points / journal in years 2017-2021

15

This website uses cookies to remember the authenticated session of the user. For more information, read about Cookies and Privacy Policy.