@inproceedings{8aaf758ff0a144ccb6fd2f3c584b9285,
title = "A new estimation method for multisensor fusion by using interval analysis and particle filtering",
abstract = "This paper presents a new fusion strategy that mixes Interval Analysis techniques and particle filters for data fusion and. state estimation purposes occurring in many robotic perception problems. The method requires a small number of {"}box particles{"}. This, in fact, answers one of major problems when using particle filters techniques. We report the case study of a land vehicle localization problem and we make a comparison based on real data between the performance of a particle filter and the new developed strategy.",
keywords = "Interval analysis, Kaiman filter, Particle filter, Sensor fusion, State filtering and estimation",
author = "Amadou Gning and Fahed Abdallah and Philippe Bonnifait",
year = "2007",
doi = "10.1109/ROBOT.2007.364068",
language = "English",
isbn = "1424406021",
series = "Proceedings - IEEE International Conference on Robotics and Automation",
pages = "3844--3849",
booktitle = "2007 IEEE International Conference on Robotics and Automation, ICRA'07",
note = "2007 IEEE International Conference on Robotics and Automation, ICRA'07 ; Conference date: 10-04-2007 Through 14-04-2007",
}