An interval Kalman filter-based fuzzy multi-sensor fusion approach for fault-tolerant heading estimation of an autonomous surface vehicle

Amit Motwani; Wenwen Liu; Sanjay Sharma; Robert Sutton; Richard Bucknall

doi:10.1177/1475090215596180

An interval Kalman filter-based fuzzy multi-sensor fusion approach for fault-tolerant heading estimation of an autonomous surface vehicle

Amit Motwani^*, Wenwen Liu, Sanjay Sharma, Robert Sutton, Richard Bucknall

^*Corresponding author for this work

School of Engineering, Computing and Mathematics

University College London

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Original language	English
Number of pages	0
Journal	Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment
Volume	0
Issue number	0
Early online date	31 Jul 2015
DOIs	https://doi.org/10.1177/1475090215596180
Publication status	Published - 1 Aug 2016

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Motwani, A., Liu, W., Sharma, S., Sutton, R., & Bucknall, R. (2016). An interval Kalman filter-based fuzzy multi-sensor fusion approach for fault-tolerant heading estimation of an autonomous surface vehicle. Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment, 0(0). https://doi.org/10.1177/1475090215596180

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Motwani, A, Liu, W, Sharma, S, Sutton, R & Bucknall, R 2016, 'An interval Kalman filter-based fuzzy multi-sensor fusion approach for fault-tolerant heading estimation of an autonomous surface vehicle', Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment, vol. 0, no. 0. https://doi.org/10.1177/1475090215596180

An interval Kalman filter-based fuzzy multi-sensor fusion approach for fault-tolerant heading estimation of an autonomous surface vehicle. / Motwani, Amit; Liu, Wenwen; Sharma, Sanjay et al.
In: Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment, Vol. 0, No. 0, 01.08.2016.

Research output: Contribution to journal › Article › peer-review

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T1 - An interval Kalman filter-based fuzzy multi-sensor fusion approach for fault-tolerant heading estimation of an autonomous surface vehicle

AU - Motwani, Amit

AU - Liu, Wenwen

AU - Sharma, Sanjay

AU - Sutton, Robert

AU - Bucknall, Richard

PY - 2016/8/1

Y1 - 2016/8/1

UR - https://pearl.plymouth.ac.uk/secam-research/1042/

U2 - 10.1177/1475090215596180

DO - 10.1177/1475090215596180

M3 - Article

SN - 1475-0902

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JO - Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment

JF - Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment

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Motwani A, Liu W, Sharma S, Sutton R, Bucknall R. An interval Kalman filter-based fuzzy multi-sensor fusion approach for fault-tolerant heading estimation of an autonomous surface vehicle. Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment. 2016 Aug 1;0(0). Epub 2015 Jul 31. doi: 10.1177/1475090215596180

An interval Kalman filter-based fuzzy multi-sensor fusion approach for fault-tolerant heading estimation of an autonomous surface vehicle

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