| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 413093 | Robotics and Autonomous Systems | 2008 | 15 Pages |
Abstract
This paper presents a sensor fusion framework for selecting online the most reliable logical sensors and the most suitable algorithm for fusing sensor data in a robot platform. The framework is rule-based, employing the concept of using the simplest sensor fusion algorithm with the most reliable sensors. The framework is realized by implementing measures that were developed to quantify online sensor performance. Statistical, histogram, time series and graphical analyses demonstrate the advantages of this new framework.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Ofir Cohen, Yael Edan,