Publication

Integrating asynchronous observations for mobile robot position tracking in cooperative environments

Conference Article

Conference

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Edition

2009

Pages

3850-3855

Doc link

http://dx.doi.org/10.1109/IROS.2009.5354502

File

Download the digital copy of the doc pdf document

Abstract

This paper presents an asynchronous particle filter algorithm for mobile robot position tracking, taking into account time considerations when integrating observations being delayed or advanced from the prior estimate time point. The interest of that filter lies in cooperative environments and in fast vehicles. The paper studies the first case, where a sensor network shares perception data with running robots that receive accurate observations with large delays due to acquisition, processing and wireless communications. Promising simulated results comparing a basic particle filter and the proposed one are shown. The paper also investigates a situation where a robot is tracking its position, fusing only odometry and observations from a camera network partially covering the robot path.

Categories

mobile robots.

Author keywords

mobile robot, position tracking, particle filter, asynchronous sensor fusion

Scientific reference

A. Corominas Murtra, J. M. Mirats Tur and A. Sanfeliu. Integrating asynchronous observations for mobile robot position tracking in cooperative environments, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009, Saint Louis, pp. 3850-3855.