Bayesian Fusion of Asynchronous Inertial, Speed and Position Data for Object Tracking
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
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Liang, J., & Godsill, S. (2019). Bayesian Fusion of Asynchronous Inertial, Speed and Position Data for Object Tracking. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2019-May 5212-5216. https://doi.org/10.1109/ICASSP.2019.8683469
In this paper we present Bayesian methods for tracking scenarios in which an intrinsic coordinate model is considered and inertial mea- surements plus occasional position fixes are available. The methods are first tested using synthetic data, giving a comprehensive evalu- ation as to their performance. Further evaluation on real data also reveals our approaches can be favourable alternatives to existing in- ertial tracking/navigation models.
External DOI: https://doi.org/10.1109/ICASSP.2019.8683469
This record's URL: https://www.repository.cam.ac.uk/handle/1810/298178
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