Bayesian Fusion of Asynchronous Inertial, Speed and Position Data for Object Tracking

Jiaming Liang; Simon J. Godsill

ICASSP 2019accepted0 citations

Bayesian Fusion of Asynchronous Inertial, Speed and Position Data for Object Tracking

Abstract

In this paper we present Bayesian methods for tracking scenarios in which an intrinsic coordinate model is considered and inertial measurements plus occasional position fixes are available. The methods are first tested using synthetic data, giving a comprehensive evaluation as to their performance. Further evaluation on real data also reveals our approaches can be favourable alternatives to existing inertial tracking/navigation models.

BibTeX

@inproceedings{icassp2019_bayesianfusionof,
  title = {Bayesian Fusion of Asynchronous Inertial, Speed and Position Data for Object Tracking},
  author = {Jiaming Liang and Simon J. Godsill},
  booktitle = {ICASSP 2019},
  year = {2019}
}