By Topic

Multi-sensor data fusion application for cargo screening — A Bayesian approach

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Ayodeji, O.A. ; Civil & Building Eng., Loughborough Univ., Loughborough, UK ; Mahroo, M.E.

The challenge of border security agents across the world is to detect contraband before they are smuggled into the country. To help achieve this, different sensors are used to sense for various substances. However, with high rate of false alarms and false negatives, there is need to develop a system to restore operator confidence and improve detection. This paper by simulating sample data, suggests a fusion of data from two sensors using the Bayesian Inference showing an improved and therefore producing a more reliable detection.

Published in:

Computer Technology and Development (ICCTD), 2010 2nd International Conference on

Date of Conference:

2-4 Nov. 2010