Items where authors include "De Freitas, A."

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Number of items: 11.

Article

De Freitas, A., Mihaylova, L. orcid.org/0000-0001-5856-2223, Gning, A. et al. (4 more authors) (2019) A box particle filter method for tracking multiple extended objects. IEEE Transactions on Aerospace and Electronic Systems, 55 (4). pp. 1640-1655. ISSN 0018-9251

Aftab, W., Hostettler, R., De Freitas, A. et al. (2 more authors) (2019) Spatio-temporal Gaussian process models for extended and group object tracking with irregular shapes. IEEE Transactions on Vehicular Technology, 68 (3). pp. 2137-2151. ISSN 0018-9545

De Freitas, A., Mihaylova, L.S., Gning, A. et al. (2 more authors) (2016) Autonomous crowds tracking with box particle filtering and convolution particle filtering. Automatica, 69. pp. 380-394. ISSN 1873-2836

Proceedings Paper

Zhu, H., Tang, C., De Freitas, A. et al. (1 more author) (2020) A maximum likelihood approach to joint groupwise image registration and fusion by a Student-t mixture model. In: 2019 22th International Conference on Information Fusion (FUSION). 22nd International Conference on Information Fusion, 02-05 Jul 2019, Ottawa, Canada. IEEE . ISBN 9781728118406

Aftab, W., De Freitas, A., Arvaneh, M. et al. (1 more author) (2018) A Gaussian Process Convolution Particle Filter for Multiple Extended Objects Tracking with Non-Regular Shapes. In: 2018 21st International Conference on Information Fusion (FUSION) (FUSION 2018). 21st International Conference on Information Fusion, 10-13 Jul 2018, Cambridge, UK. IEEE . ISBN 978-0-9964527-6-2

Khan, A.M., De Freitas, A., Mihaylova, L.S. orcid.org/0000-0001-5856-2223 et al. (2 more authors) (2017) Bayesian Processing of Big Data using Log Homotopy Based Particle Flow Filters. In: 2017 Sensor Data Fusion: Trends, Solutions, Applications (SDF). The 11th Symposium Sensor Data Fusion: Trends, Solutions, and Applications, 10-12 Oct 2017, Bonn, Germany. IEEE . ISBN 978-1-5386-3103-4

Douthwaite, J.A., De Freitas, A. and Mihaylova, L.S. (2017) An Interval Approach to Multiple Unmanned Aerial Vehicle Collision Avoidance. In: Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2017. 11th Symposium Sensor Data Fusion: Trends, Solutions, and Applications, 10-12 Oct 2017, Bonn, Germany. IEEE .

Aftab, W., De Freitas, A., Arvaneh, M. et al. (1 more author) (2017) A Gaussian Process Approach for Extended Object Tracking with Random Shapes and for Dealing with Intractable Likelihoods. In: Proceedings of the 2017 International Conference on Digital Signal Processing (DSP). 2017 22nd International Conference on on Digital Signal Processing (DSP 2017), 23-25 Aug 2017, London, UK. IEEE .

De Freitas, A., Fritsche, C., Mihaylova, L.S. orcid.org/0000-0001-5856-2223 et al. (1 more author) (2017) A Novel Measurement Processing Approach to the Parallel Expectation Propagation Unscented Kalman Filter. In: 2017 20th International Conference on Information Fusion (Fusion). 2017 20th International Conference on Information Fusion, 10-13 Jul 2017, Xi'an, China. IEEE . ISBN 978-0-9964-5270-0

De Freitas, A. and Mihaylova, L.S. orcid.org/0000-0001-5856-2223 (2016) Dealing with Massive Data with a Distributed Expectation Propagation Particle Filter for Object Tracking. In: Information Fusion (FUSION), 2016 19th International Conference on. 19th International Conference on Information Fusion, 04-08 Jul 2016, Heidelberg, Germany. IEEE . ISBN 978-0-9964-5274-8

De Freitas, A., Septier, F., Mihaylova, L. orcid.org/0000-0001-5856-2223 et al. (1 more author) (2015) How Can Subsampling Reduce Complexity in Sequential MCMC Methods and Deal with Big Data in Target Tracking? In: Proceedings of the 18th International Conference on Information Fusion. 18th International Conference on Information Fusion, 06-09 Jul 2015, Washington DC, USA. IEEE , pp. 134-141.

This list was generated on Sat Mar 23 13:13:50 2024 GMT.