Improved Dempster-Shafer Sensor Fusion using Distance Function and Evidence Weighted Penalty: Application in Object Detection

Nazmuzzaman Khan, Sohel Anwar

2019

Abstract

Dempster-Shafer (DS) combination method can deal with the uncertainty and inconsistency of multi-sensor data fusion and widely used in data fusion, fault detection, pattern recognition, and supplier selection. The original DS theory has limitations such as its inability to handle conflicting data properly which can result into inaccuracy in the output of a multi-sensor data fusion process. To eliminate such limitations of the original DS theory, a novel method is proposed in this paper that uses distance function to measure the credibility of each sensor and uses weighted penalty of faulty sensor evidence to create maximum evidence for the correct detection. A detailed example for object detection with conflicting sensor input is presented which showcases all the steps of the proposed method. A numerical simulation is used to show that the proposed method effectively eliminates the limitations of original DS combination rule and offers an improvement over the current state-of-the-art models.

Paper Citation

in Harvard Style

Khan N. and Anwar S. (2019). Improved Dempster-Shafer Sensor Fusion using Distance Function and Evidence Weighted Penalty: Application in Object Detection.In Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-380-3, pages 664-671. DOI: 10.5220/0007917106640671

in Bibtex Style

@conference{icinco19,
author={Nazmuzzaman Khan and Sohel Anwar},
title={Improved Dempster-Shafer Sensor Fusion using Distance Function and Evidence Weighted Penalty: Application in Object Detection},
booktitle={Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2019},
pages={664-671},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007917106640671},
isbn={978-989-758-380-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Improved Dempster-Shafer Sensor Fusion using Distance Function and Evidence Weighted Penalty: Application in Object Detection
SN - 978-989-758-380-3
AU - Khan N.
AU - Anwar S.
PY - 2019
SP - 664
EP - 671
DO - 10.5220/0007917106640671