Publications
Selected publications
- Multiple target tracking based on sets of trajectories (Journal article - 2020)
- Poisson Multi-Bernoulli Mixture Filter: Direct Derivation and Implementation (Journal article - 2018)
- Generalized optimal sub-pattern assignment metric (Conference Paper - 2017)
- Posterior Linearization Filter: Principles and Implementation Using Sigma Points (Journal article - 2015)
- Trajectory PHD and CPHD Filters (Journal article - 2018)
2025
Notch power detector for multiple vehicle trajectory estimation with distributed acoustic sensing
Fontana, M., García-Fernández, Á. F., & Maskell, S. (2025). Notch power detector for multiple vehicle trajectory estimation with distributed acoustic sensing. Signal Processing, 232, 109905. doi:10.1016/j.sigpro.2025.109905
CD-UDepth: Complementary dual-source information fusion for underwater monocular depth estimation
Guo, J., Ma, J., Sun, F., Gao, Z., García-Fernández, Á. F., Liang, H. -N., . . . Ding, W. (2025). CD-UDepth: Complementary dual-source information fusion for underwater monocular depth estimation. Information Fusion, 118, 102961. doi:10.1016/j.inffus.2025.102961
Beta-Gaussian iterated posterior linearization filter for lithium-ion battery state-of-charge estimation
Yang, R., García-Fernández, Á. F., & Lee, C. -R. (2025). Beta-Gaussian iterated posterior linearization filter for lithium-ion battery state-of-charge estimation. Journal of Energy Storage, 117, 116097. doi:10.1016/j.est.2025.116097
Consensus iterated posterior linearisation filter for distributed state estimation
García-Fernández, Á. F., & Battistelli, G. (2025). Consensus iterated posterior linearisation filter for distributed state estimation. IEEE Signal Processing Letters, 1-5. doi:10.1109/lsp.2025.3526092
Batch SLAM With PMBM Data Association Sampling and Graph-Based Optimization
Ge, Y., Kaltiokallio, O., Xia, Y., García-Fernández, Á. F., Kim, H., Talvitie, J., . . . Svensson, L. (2025). Batch SLAM With PMBM Data Association Sampling and Graph-Based Optimization. IEEE Transactions on Signal Processing, 73, 2139-2153. doi:10.1109/tsp.2025.3567916
Gaussian Multi-Target Filtering With Target Dynamics Driven by a Stochastic Differential Equation
García-Fernández, Á. F., & Särkkä, S. (2025). Gaussian Multi-Target Filtering With Target Dynamics Driven by a Stochastic Differential Equation. IEEE Transactions on Signal Processing, 73, 664-675. doi:10.1109/tsp.2025.3535556
Mvg-Splatting: Multi-View Guided Gaussian Splatting with Adaptive Quantile-Based Geometric Consistency Densification
Poisson Multi-Bernoulli Mixtures for Sets of Trajectories
Granström, K., Svensson, L., Xia, Y., Williams, J., & García-Fernández, Á. F. (2025). Poisson Multi-Bernoulli Mixtures for Sets of Trajectories. IEEE Transactions on Aerospace and Electronic Systems, 61(2), 5178-5194. doi:10.1109/taes.2024.3517576
The Trajectory PHD Filter for Coexisting Point and Extended Target Tracking
Wei, S., García-Fernández, Á. F., & Yi, W. (2025). The Trajectory PHD Filter for Coexisting Point and Extended Target Tracking. IEEE Transactions on Aerospace and Electronic Systems, 61(3), 5669-5685. doi:10.1109/taes.2024.3521921
2024
A Comparison Between Kalman-MLE and KalmanNet for State Estimation with Unknown Noise Parameters
Hanlon, B., García-Fernández, Á. F., & Peng, B. (2024). A Comparison Between Kalman-MLE and KalmanNet for State Estimation with Unknown Noise Parameters. In 2024 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) (pp. 1-8). IEEE. doi:10.1109/mfi62651.2024.10705758
GOSPA-Driven Multi-Bernoulli Gaussian Sensor Management
Jones, G., & García-Fernández, Á. F. (2024). GOSPA-Driven Multi-Bernoulli Gaussian Sensor Management. In 2024 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) (pp. 1-8). IEEE. doi:10.1109/mfi62651.2024.10705781
Hybrid PHD-PMB Trajectory Smoothing Using Backward Simulation
Xia, Y., Garcia-Fernandez, A. F., & Svensson, L. (2024). Hybrid PHD-PMB Trajectory Smoothing Using Backward Simulation. In 2024 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) (pp. 1-8). IEEE. doi:10.1109/mfi62651.2024.10705782
Graph GOSPA metric: a metric to measure the discrepancy between graphs of different sizes
Gu, J., García-Fernández, Á. F., Firth, R. E., & Svensson, L. (2024). Graph GOSPA metric: a metric to measure the discrepancy between graphs of different sizes. IEEE Transactions on Signal Processing, 1-13. doi:10.1109/tsp.2024.3449091
A Poisson Multi-Bernoulli Mixture approach to tracking trains using Distributed Acoustic Sensing
Fontana, M., Hayder, T., Freilinger, W., García-Fernández, Á. F., & Maskell, S. (2024). A Poisson Multi-Bernoulli Mixture approach to tracking trains using Distributed Acoustic Sensing. In 2024 27th International Conference on Information Fusion (FUSION) (pp. 1-8). IEEE. doi:10.23919/fusion59988.2024.10706405
Stacked iterated posterior linearization filter
Raitoharju, M., García-Fernández, Á. F., Ali-Löytty, S., & Särkkä, S. (2024). Stacked iterated posterior linearization filter. In 2024 27th International Conference on Information Fusion (FUSION) (pp. 1-8). IEEE. doi:10.23919/fusion59988.2024.10706311
Markov Chain Monte Carlo Multi-Scan Data Association for Sets of Trajectories
Xia, Y., García-Fernández, Á. F., & Svensson, L. (2024). Markov Chain Monte Carlo Multi-Scan Data Association for Sets of Trajectories. IEEE Transactions on Aerospace and Electronic Systems, 1-15. doi:10.1109/taes.2024.3419785
Non-myopic GOSPA-driven Gaussian Bernoulli Sensor Management
Jones, G., García-Fernández, Á. F., & Blackman, C. (2024). Non-myopic GOSPA-driven Gaussian Bernoulli Sensor Management. IEEE Transactions on Aerospace and Electronic Systems, 1-15. doi:10.1109/taes.2024.3418750
Analysis of Fluid Balance and Urine Values in Elite Soccer Players: Impact of Different Environments, Playing Positions, Sexes, and Competitive Levels.
Sebastiá-Rico, J., Soriano, J. M., Sanchis-Chordà, J., García-Fernández, Á. F., López-Mateu, P., de la Cruz Marcos, S., & Martínez-Sanz, J. M. (2024). Analysis of Fluid Balance and Urine Values in Elite Soccer Players: Impact of Different Environments, Playing Positions, Sexes, and Competitive Levels.. Nutrients, 16(6), 903. doi:10.3390/nu16060903
Tracking Multiple Underwater Vessels With Passive Sonar Using Beamforming and a Trajectory PHD Filter
Yi, W., García‐Fernández, Á. F., & Zhang, B. (2024). Tracking Multiple Underwater Vessels With Passive Sonar Using Beamforming and a Trajectory PHD Filter. In Unknown Book (pp. 239-253). Wiley. doi:10.1002/9781119750925.ch14
Cross-frame feature-saliency mutual reinforcing for weakly supervised video salient object detection
Wang, J., Yu, S., Zhang, B., Zhao, X., Garcia-Fernandez, A., Lim, E. G., & Xiao, J. (2024). Cross-frame feature-saliency mutual reinforcing for weakly supervised video salient object detection. Pattern Recognition. doi:10.1016/j.patcog.2024.110302
Information Exchange track-before-detect Multi-Bernoulli filter for superpositional sensors
Davies, E. S., & Garcia-Fernandez, A. (2024). Information Exchange track-before-detect Multi-Bernoulli filter for superpositional sensors. IEEE Transactions on Signal Processing, 1-15. doi:10.1109/tsp.2024.3349769
Class Activation Map Calibration for Weakly Supervised Semantic Segmentation
Wang, J., Dai, T., Zhao, X., García-Fernández, Á. F., Lim, E. G., & Xiao, J. (2024). Class Activation Map Calibration for Weakly Supervised Semantic Segmentation. IEEE Transactions on Circuits and Systems for Video Technology, 34(11), 11668-11681. doi:10.1109/tcsvt.2024.3427720
Effects of menstrual cycle phases on elasticity index in female soccer players
Muñoz Aloy, À., Sanchis Sanz, C., García Fernández, Á. F., & Monleón, C. (2024). Effects of menstrual cycle phases on elasticity index in female soccer players. Journal of Human Sport and Exercise, 19(1). doi:10.14198/jhse.2024.191.07
Notch Periodogram for Multiple Vehicle Trajectory Estimation with Distributed Acoustic Sensing
Set-Type Belief Propagation With Applications to Poisson Multi-Bernoulli SLAM
Kim, H., García-Fernández, Á. F., Ge, Y., Xia, Y., Svensson, L., & Wymeersch, H. (2024). Set-Type Belief Propagation With Applications to Poisson Multi-Bernoulli SLAM. IEEE Transactions on Signal Processing, 72, 1989-2005. doi:10.1109/tsp.2024.3383543
Temporal Parallelization of the HJB Equation and Continuous-Time Linear Quadratic Control
Särkkä, S., & García-Fernández, Á. F. (2025). Temporal Parallelization of the HJB Equation and Continuous-Time Linear Quadratic Control. IEEE Transactions on Automatic Control, 70(6), 3755-3770. doi:10.1109/tac.2024.3518309
Trajectory Poisson Multi-Bernoulli Mixture Filter for Traffic Monitoring Using a Drone.
García-Fernández, Á. F., & Xiao, J. (2024). Trajectory Poisson Multi-Bernoulli Mixture Filter for Traffic Monitoring Using a Drone.. IEEE Trans. Veh. Technol., 73, 402-413.
2023
The trajectory motion model based TPHD and TCPHD filters for maneuvering targets
Zhang, B., Yi, W., García-Fernández, Á. F., & Kong, L. (2023). The trajectory motion model based TPHD and TCPHD filters for maneuvering targets. Information Fusion, 102187. doi:10.1016/j.inffus.2023.102187
Trajectory PMB Filters for Extended Object Tracking Using Belief Propagation
Xia, Y., García-Fernández, Á. F., Meyer, F., Williams, J. L., Granström, K., & Svensson, L. (2023). Trajectory PMB Filters for Extended Object Tracking Using Belief Propagation. IEEE Transactions on Aerospace and Electronic Systems, 59(6), 9312-9331. doi:10.1109/taes.2023.3317233
Non-Myopic Sensor Control for Target Search and Track Using a Sample-Based GOSPA Implementation
Hernandez, M., García-Fernández, Á. F., & Maskell, S. (2023). Non-Myopic Sensor Control for Target Search and Track Using a Sample-Based GOSPA Implementation. IEEE Transactions on Aerospace and Electronic Systems, 1-17. doi:10.1109/taes.2023.3324908
Data-Driven Clustering and Bernoulli Merging for the Poisson Multi-Bernoulli Mixture Filter
Fontana, M., García-Fernández, Á. F., & Maskell, S. (2023). Data-Driven Clustering and Bernoulli Merging for the Poisson Multi-Bernoulli Mixture Filter. IEEE Transactions on Aerospace and Electronic Systems, 59(5), 5287-5301. doi:10.1109/taes.2023.3253662
A large scale Digital Elevation Model super-resolution Transformer
Li, Z., Zhu, X., Yao, S., Yue, Y., Garcia-Fernandez, A., Lim, E. G., & Levers, A. (2023). A large scale Digital Elevation Model super-resolution Transformer. International Journal of Applied Earth Observation and Geoinformation. doi:10.1016/j.jag.2023.103496
On The Temporal Parallelisation of The Viterbi Algorithm
Särkkä, S., & García-Fernández, Á. F. (2023). On The Temporal Parallelisation of The Viterbi Algorithm. In 2023 31st European Signal Processing Conference (EUSIPCO) (pp. 2018-2022). IEEE. doi:10.23919/eusipco58844.2023.10289998
Trajectory Poisson multi-Bernoulli mixture filter for traffic monitoring using a drone
Garcia-Fernandez, A., & Xiao, J. (2023). Trajectory Poisson multi-Bernoulli mixture filter fortraffic monitoring using a drone. IEEE Transactions on Vehicular Technology. doi:10.1109/TVT.2023.3310742
An Efficient Implementation of the Extended Object Trajectory PMB Filter Using Blocked Gibbs Sampling
Xia, Y., García-Fernández, Á. F., & Svensson, L. (2023). An Efficient Implementation of the Extended Object Trajectory PMB Filter Using Blocked Gibbs Sampling. In 2023 26th International Conference on Information Fusion (FUSION) (pp. 1-8). IEEE. doi:10.23919/fusion52260.2023.10224190
GOSPA-Driven Gaussian Bernoulli Sensor Management
Jones, G., García-Fernández, Á. F., & Wong, P. W. H. (2023). GOSPA-Driven Gaussian Bernoulli Sensor Management. In 2023 26th International Conference on Information Fusion (FUSION) (pp. 1-8). IEEE. doi:10.23919/fusion52260.2023.10224220
A survey on image enhancement for Low-light images
Guo, J., Ma, J., García-Fernández, Á. F., Zhang, Y., & Liang, H. (2023). A survey on image enhancement for Low-light images. Heliyon, e14558. doi:10.1016/j.heliyon.2023.e14558
Exploring modern bathymetry: A comprehensive review of data acquisition devices, model accuracy, and interpolation techniques for enhanced underwater mapping
Li, Z., Peng, Z., Zhang, Z., Chu, Y., Xu, C., Yao, S., . . . Ma, J. (2023). Exploring modern bathymetry: A comprehensive review of data acquisition devices, model accuracy, and interpolation techniques for enhanced underwater mapping. Frontiers in Marine Science, 10. doi:10.3389/fmars.2023.1178845
Poisson Multi-Bernoulli Mixture Filter With General Target-Generated Measurements and Arbitrary Clutter
Garcia-Fernandez, A. F., Xia, Y., & Svensson, L. (2023). Poisson Multi-Bernoulli Mixture Filter With General Target-Generated Measurements and Arbitrary Clutter. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 71, 1895-1906. doi:10.1109/TSP.2023.3278944
2022
A comparison between PMBM Bayesian track initiation and labelled RFS adaptive birth
Garcia-Fernandez, A. F., Xia, Y., & Svensson, L. (2022). A comparison between PMBM Bayesian track initiation and labelled RFS adaptive birth. In 2022 25TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION 2022). Retrieved from https://www.webofscience.com/
A multi-Bernoulli Gaussian filter for track-before-detect with superpositional sensors
Davies, E. S., & Garcia-Fernandez, A. F. (2022). A multi-Bernoulli Gaussian filter for track-before-detect with superpositional sensors. In 2022 25TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION 2022). Retrieved from https://www.webofscience.com/
A vehicle detector based on notched power for distributed acoustic sensing
Fontana, M., Garcia-Fernandez, A. F., & Maskell, S. (2022). A vehicle detector based on notched power for distributed acoustic sensing. In 2022 25TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION 2022). Retrieved from https://www.webofscience.com/
Gaussian trajectory PMBM filter with nonlinear measurements based on posterior linearisation
Garcia-Fernandez, A. F., Ralph, J., Horridge, P., & Maskell, S. (2022). Gaussian trajectory PMBM filter with nonlinear measurements based on posterior linearisation. In 2022 25TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION 2022). Retrieved from https://www.webofscience.com/
Poisson multi-Bernoulli mixture filtering with an active sonar using BELLHOP simulation
Narykov, A., Wright, M., Garcia-Fernandez, A. F., Maskell, S., & Ralph, J. F. (2022). Poisson multi-Bernoulli mixture filtering with an active sonar using BELLHOP simulation. In 2022 25TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION 2022). Retrieved from https://www.webofscience.com/
Multiple Object Trajectory Estimation Using Backward Simulation
Xia, Y., Svensson, L., Garcia-Fernandez, A., L. Williams, J., Svensson, D., & Granstrom, K. (2022). Multiple Object Trajectory Estimation Using Backward Simulation. IEEE Transactions on Signal Processing, 1-15. doi:10.1109/tsp.2022.3184794
Temporal Parallelisation of Dynamic Programming and Linear Quadratic Control
Särkkä, S., & García-Fernández, Á. F. (2022). Temporal Parallelisation of Dynamic Programming and Linear Quadratic Control. IEEE Transactions on Automatic Control. doi:10.1109/TAC.2022.3147017
An Improved Harris Corner Points Detection for Low-Light Scenes Based on Contrast Limited Adaptive Histogram Equalization
Guo, J., Ma, J., Garcia-Fernandez, A. F., Ge, J., & Zhang, Y. (2022). An Improved Harris Corner Points Detection for Low-Light Scenes Based on Contrast Limited Adaptive Histogram Equalization. In 2022 6TH INTERNATIONAL CONFERENCE ON IMAGING, SIGNAL PROCESSING AND COMMUNICATIONS, ICISPC (pp. 11-15). doi:10.1109/ICISPC57208.2022.00010
2021
Tracking multiple spawning targets using Poisson multi-Bernoulli mixtures on sets of tree trajectories
Garcia-Fernandez, A. F., & Svensson, L. (2022). Tracking Multiple Spawning Targets Using Poisson Multi-Bernoulli Mixtures on Sets of Tree Trajectories. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 70, 1987-1999. doi:10.1109/TSP.2022.3165947
A Gaussian Filtering Method for Multitarget Tracking With Nonlinear/Non-Gaussian Measurements
Garcia-Fernandez, A. F., Ralph, J., Horridge, P., & Maskell, S. (2021). A Gaussian Filtering Method for Multitarget Tracking With Nonlinear/Non-Gaussian Measurements. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 57(5), 3539-3548. doi:10.1109/TAES.2021.3074200
Poisson Multi-Bernoulli Approximations for Multiple Extended Object Filtering
Xia, Y., Granstrom, K., Svensson, L., Fatemi, M., Garcia-Fernandez, A., & Williams, J. (2021). Poisson Multi-Bernoulli Approximations for Multiple Extended Object Filtering. IEEE Transactions on Aerospace and Electronic Systems. doi:10.1109/TAES.2021.3111720
Gaussian Tracking With Kent-Distributed Direction-of-Arrival Measurements
Garcia-Fernandez, A., Maskell, S., Horridge, P., & Ralph, J. (2021). Gaussian Tracking With Kent-Distributed Direction-of-Arrival Measurements. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 70(7), 7249-7254. doi:10.1109/TVT.2021.3086558
Continuous-discrete multiple target tracking with out-of-sequence measurements
Garcia-Fernandez, A., & Yi, W. (2021). Continuous-discrete multiple target tracking with out-of-sequence measurements. IEEE Transactions on Signal Processing. doi:10.1109/TSP.2021.3100999
A Poisson Multi-Bernoulli Mixture Filter for Coexisting Point and Extended Targets
Garcia-Fernandez, A., Williams, J., Svensson, L., & Xia, Y. (2021). A Poisson Multi-Bernoulli Mixture Filter for Coexisting Point and Extended Targets. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 69, 2600-2610. doi:10.1109/TSP.2021.3072006
Cure of enuresis/bowel dysfunction in children may provide insights for adult dysfunctions.
Petros, P. E., & Garcia-Fernandez, A. (2021). Cure of enuresis/bowel dysfunction in children may provide insights for adult dysfunctions.. Techniques in coloproctology, 25(3), 351-353. doi:10.1007/s10151-021-02410-1
Temporal Parallelization of Inference in Hidden Markov Models
Hassan, S., Särkkä, S., & Garcia-Fernandez, A. (2021). Temporal Parallelization of Inference in Hidden Markov Models. IEEE Transactions on Signal Processing. doi:10.1109/TSP.2021.3103338
A time-weighted metric for sets of trajectories to assess multi-object tracking algorithms
Garcia-Fernandez, A. F., Rahmathullah, A. S., & Svensson, L. (2021). A time-weighted metric for sets of trajectories to assess multi-object tracking algorithms. In 2021 IEEE 24TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION) (pp. 363-370). Retrieved from https://www.webofscience.com/
An analysis on metric-driven multi-target sensor management: GOSPA versus OSPA
Garcia-Fernandez, A. F., Hernandez, M., & Maskell, S. (2021). An analysis on metric-driven multi-target sensor management: GOSPA versus OSPA. In 2021 IEEE 24TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION) (pp. 355-362). Retrieved from https://www.webofscience.com/
SMC samplers for Bayesian Optimisation and Discovery of Additive Kernel Structure
Chatzopoulou, A., Garcia-Fernandez, A. F., Pyzer-Knapp, E., & Maskell, S. (2021). SMC samplers for Bayesian Optimisation and Discovery of Additive Kernel Structure. In 2021 IEEE 24TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION) (pp. 137-144). Retrieved from https://www.webofscience.com/
Temporal Parallelization of Bayesian Smoothers
Sarkka, S., & Garcia-Fernandez, A. F. (2021). Temporal Parallelization of Bayesian Smoothers. IEEE Transactions on Automatic Control, 66(1), 299-306. doi:10.1109/tac.2020.2976316
2020
Artificial neural network design for improved spectrum sensing in cognitive radio
Patel, D. K., Lopez-Benitez, M., Soni, B., & Garcia-Fernandez, A. F. (2020). Artificial neural network design for improved spectrum sensing in cognitive radio. WIRELESS NETWORKS, 26(8), 6155-6174. doi:10.1007/s11276-020-02423-y
Trajectory Poisson multi-Bernoulli filters
Garcia-Fernandez, A., Svensson, L., Williams, J., Xia, Y., & Granstrom, K. (2020). Trajectory Poisson multi-Bernoulli filters. IEEE Transactions on Signal Processing. doi:10.1109/TSP.2020.3017046
Backward Simulation for Sets of Trajectories
Xia, Y., Svensson, L., Garcia-Fernandez, A. F., Granstrom, K., & Williams, J. L. (2020). Backward Simulation for Sets of Trajectories. In 2020 IEEE 23rd International Conference on Information Fusion (FUSION) (pp. 1-8). IEEE. doi:10.23919/fusion45008.2020.9190164
Bernoulli merging for the Poisson multi-Bernoulli mixture filter
Fontana, M., Garcia-Fenandez, A. F., & Maskell, S. (2020). Bernoulli merging for the Poisson multi-Bernoulli mixture filter. In 2020 IEEE 23rd International Conference on Information Fusion (FUSION) (pp. 1-8). IEEE. doi:10.23919/fusion45008.2020.9190443
Continuous-discrete trajectory PHD and CPHD filters
Garcia-Fernandez, A. F., & Maskell, S. (2020). Continuous-discrete trajectory PHD and CPHD filters. In 2020 IEEE 23rd International Conference on Information Fusion (FUSION) (pp. 1-8). IEEE. doi:10.23919/fusion45008.2020.9190298
Spatiotemporal Constraints for Sets of Trajectories with Applications to PMBM Densities
Granstrom, K., Svensson, L., Xia, Y., Garcia-Femandez, A. F., & Williams, J. (2020). Spatiotemporal Constraints for Sets of Trajectories with Applications to PMBM Densities. In 2020 IEEE 23rd International Conference on Information Fusion (FUSION) (pp. 1-8). IEEE. doi:10.23919/fusion45008.2020.9190553
Trajectory multi-Bernoulli filters for multi-target tracking based on sets of trajectories
Garcia-Fernsndez, A. F., Svensson, L., Williams, J. L., Xia, Y., & Granstrom, K. (2020). Trajectory multi-Bernoulli filters for multi-target tracking based on sets of trajectories. In 2020 IEEE 23rd International Conference on Information Fusion (FUSION) (pp. 1-8). IEEE. doi:10.23919/fusion45008.2020.9190554
A Metric on the Space of Finite Sets of Trajectories for Evaluation of Multi-Target Tracking Algorithms
Garcia-Fernandez, A., Rahmathullah, A. S., & Svensson, L. (2020). A Metric on the Space of Finite Sets of Trajectories for Evaluation of Multi-Target Tracking Algorithms. IEEE Transactions on Signal Processing, 68, 3917-3928. doi:10.1109/TSP.2020.3005309
Multiple target tracking based on sets of trajectories
Garcia-Fernandez, A. F., Svensson, L., & Morelande, M. R. (2020). Multiple target tracking based on sets of trajectories. IEEE Transactions on Aerospace and Electronic Systems, 56(3), 1685-1707. doi:10.1109/TAES.2019.2921210
Continuous-Discrete Multiple Target Filtering: PMBM, PHD and CPHD Filter Implementations
Garcia-Fernandez, A., & Maskell, S. (2020). Continuous-discrete multiple target filtering: PMBM, PHD and CPHD filter implementations. Continuous-discrete multiple target filtering: PMBM, PHD and CPHD filter implementations. doi:10.1109/TSP.2020.2968247
A four month squatting-based pelvic exercise regime cures day/night enuresis and bowel dysfunction in children aged 7-11 years.
Garcia-Fernandez, A., & Petros, P. E. (2020). A four month squatting-based pelvic exercise regime cures day/night enuresis and bowel dysfunction in children aged 7-11 years.. Central European journal of urology, 73(3), 307-314. doi:10.5173/ceju.2020.0044
Importance Densities for Particle Filtering Using Iterated Conditional Expectations
Hostettler, R., Tronarp, F., Garcia-Fernandez, A. F., & Sarkka, S. (2020). Importance Densities for Particle Filtering Using Iterated Conditional Expectations. IEEE SIGNAL PROCESSING LETTERS, 27, 211-215. doi:10.1109/LSP.2020.2964531
Spatiotemporal Constraints for Sets of Trajectories with Applications to PMBM Densities
Granstrom, K., Svensson, L., Xia, Y., Garcia-Femandez, A. F., & Williams, J. (2020). Spatiotemporal Constraints for Sets of Trajectories with Applications to PMBM Densities. In PROCEEDINGS OF 2020 23RD INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION 2020) (pp. 343-350). Retrieved from https://www.webofscience.com/
2019
Poisson Multi-Bernoulli Mixtures for Sets of Trajectories
Granström, K., Svensson, L., Xia, Y., Williams, J., & García-Fernández, Á. F. (2019). Poisson Multi-Bernoulli Mixtures for Sets of Trajectories. Retrieved from http://dx.doi.org/10.1109/TAES.2024.3517576
Multi-Scan Implementation of the Trajectory Poisson Multi-Bernoulli Mixture Filter
Xia, Y., Granstrom, K., Svensson, L., Garcia-Fernandez, A., & Williams, J. (2019). Multi-Scan Implementation of the Trajectory Poisson Multi-Bernoulli Mixture Filter. Journal of Advances in Information Fusion.
Gaussian mixture models for signal mapping and positioning
Raitoharju, M., Garcia-Fernandez, A. F., Hostettler, R., Piche, R., & Sarkka, S. (2019). Gaussian mixture models for signal mapping and positioning. Signal Processing. doi:10.1016/j.sigpro.2019.107330
Gaussian implementation of the multi-Bernoulli mixture filter
García-Fernández, Á. F., Xia, Y., Granström, K., Svensson, L., & Williams, J. L. (2019). Gaussian implementation of the multi-Bernoulli mixture filter. In Proceedings of the 22nd International Conference on Information Fusion, 2019. Retrieved from http://arxiv.org/abs/1908.08819v1
Spooky effect in optimal OSPA estimation and how GOSPA solves it
Garcia-Fernandez, A. F., & Svensson, L. (2019). Spooky effect in optimal OSPA estimation and how GOSPA solves it. In 2019 22ND INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION 2019). doi:10.23919/fusion43075.2019.9011259
Particle Filtering based Track-before-detect Method for Passive Array Sonar Systems
Yi, W., Fu, L., Garcia-Fernandez, A. F., Xu, L., & Kong, L. (2019). Particle Filtering based Track-before-detect Method for Passive Array Sonar Systems. Signal Processing.
Extended target Poisson multi-Bernoulli mixture trackers based on sets of trajectories
Xia, Y., Granstrom, K., Svensson, L., Garcia-Fernandez, A. F., & Williams, J. L. (2019). Extended target Poisson multi-Bernoulli mixture trackers based on sets of trajectories. In 2019 22ND INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION 2019). doi:10.23919/fusion43075.2019.9011181
Gaussian implementation of the multi-Bernoulli mixture filter
Garcia-Fernandez, A. E., Xia, Y., Granstrom, K., Svensson, L., & Williamst, J. L. (2019). Gaussian implementation of the multi-Bernoulli mixture filter. In 2019 22ND INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION 2019). doi:10.23919/fusion43075.2019.9011346
Joint Calibration of Inertial Sensors and Magnetometers using von Mises-Fisher Filtering and Expectation Maximization
Hostettler, R., Garcia-Fernandez, A. F., Tronarp, F., & Sarkka, S. (2019). Joint Calibration of Inertial Sensors and Magnetometers using von Mises-Fisher Filtering and Expectation Maximization. In 2019 22ND INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION 2019). doi:10.23919/fusion43075.2019.9011257
Partitioned Update Binomial Gaussian Mixture Filter
Raitoharju, M., Garcia-Fernandez, A. F., & Sarkka, S. (2019). Partitioned Update Binomial Gaussian Mixture Filter. In 2019 22th International Conference on Information Fusion (FUSION) (pp. 1-8). IEEE. doi:10.23919/fusion43075.2019.9011335
Sigma-point multiple particle filtering
Ubeda-Medina, L., Garcia-Fernandez, A. F., & Grajal, J. (2019). Sigma-point multiple particle filtering. Signal Processing. doi:10.1016/j.sigpro.2019.02.019
Spooky effect in optimal OSPA estimation and how GOSPA solves it
Garcia-Femandez, A. F., & Svensson, L. (2019). Spooky effect in optimal OSPA estimation and how GOSPA solves it. In Fusion 2019 22nd International Conference on Information Fusion.
Gaussian Target Tracking With Direction-of-Arrival von Mises-Fisher Measurements
Garcia-Fernandez, A. F., Tronarp, F., & Sarkka, S. (2019). Gaussian Target Tracking With Direction-of-Arrival von Mises-Fisher Measurements. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 67(11), 2960-2972. doi:10.1109/TSP.2019.2911258
Rao-Blackwellized Posterior Linearization Backward SLAM
Garcia-Fernandez, A. F., Hostettler, R., & Sarkka, S. (2019). Rao-Blackwellized Posterior Linearization Backward SLAM. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 68(5), 4734-4747. doi:10.1109/TVT.2019.2903569
Gaussian process classification using posterior linearisation
Garcia-Fernandez, A. F., Tronarp, F., & Sarkka, S. (2019). Gaussian process classification using posterior linearisation. IEEE Signal Processing Letters. doi:10.1109/LSP.2019.2906929
2018
Trajectory PHD and CPHD Filters
Garcia-Fernandez, A. F., & Svensson, L. (2019). Trajectory PHD and CPHD Filters. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 67(22), 5702-5714. doi:10.1109/TSP.2019.2943234
Gaussian Process Classification Using Posterior Linearization
Garcia-Fernandez, A. F., Tronarp, F., & Sarkka, S. (2019). Gaussian Process Classification Using Posterior Linearization. IEEE SIGNAL PROCESSING LETTERS, 26(5), 735-739. doi:10.1109/LSP.2019.2906929
An Implementation of the Poisson Multi-Bernoulli Mixture Trajectory Filter via Dual Decomposition
Xia, Y., Granstrom, K., Svensson, L., & Garcia-Fernandez, A. F. (2018). An Implementation of the Poisson Multi-Bernoulli Mixture Trajectory Filter via Dual Decomposition. In 2018 21ST INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION) (pp. 2453-2460). Retrieved from https://www.webofscience.com/
Poisson multi-Bernoulli mixture trackers: continuity through random finite sets of trajectories
Granstrom, K., Svensson, L., Xia, Y., Williams, J., & Garcia-Fernandez, A. F. (2018). Poisson multi-Bernoulli mixture trackers: continuity through random finite sets of trajectories. In 2018 21ST INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION) (pp. 973-981). Retrieved from https://www.webofscience.com/
An Implementation of the Poisson Multi-Bernoulli Mixture Trajectory Filter via Dual Decomposition.
Xia, Y., Granström, K., Svensson, L., & García-Fernández, Á. F. (2018). An Implementation of the Poisson Multi-Bernoulli Mixture Trajectory Filter via Dual Decomposition.. In FUSION (pp. 1-8). IEEE. Retrieved from https://ieeexplore.ieee.org/xpl/conhome/8442112/proceeding
Poisson Multi-Bernoulli Mixture Trackers: Continuity Through Random Finite Sets of Trajectories.
Granström, K., Svensson, L., Xia, Y., Williams, J. L., & García-Fernández, Á. F. (2018). Poisson Multi-Bernoulli Mixture Trackers: Continuity Through Random Finite Sets of Trajectories.. In FUSION (pp. 1-5). IEEE. Retrieved from https://ieeexplore.ieee.org/xpl/conhome/8442112/proceeding
Robust sensor parameter selection in fully adaptive radar using a sigma-point Gaussian approximation
Ubeda-Medina, L., Garcia-Fernandez, A. F., Grajal, J., & IEEE. (2018). Robust sensor parameter selection in fully adaptive radar using a sigma-point Gaussian approximation. In 2018 IEEE RADAR CONFERENCE (RADARCONF18) (pp. 263-268). Retrieved from http://gateway.webofknowledge.com/
Damped Posterior Linearization Filter
Raitoharju, M., Svensson, L., Garcia-Fernandez, A. F., & Piche, R. (2018). Damped Posterior Linearization Filter. IEEE SIGNAL PROCESSING LETTERS, 25(4), 536-540. doi:10.1109/LSP.2018.2806304
Multiple Sigma-point Kalman Smoothers for High-dimensional State-Space Models
Vila-Valls, J., Closas, P., Garcia-Fernandez, A. F., & Fernandez-Prades, C. (2017). Multiple Sigma-point Kalman Smoothers for High-dimensional State-Space Models. In 2017 IEEE 7TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING (CAMSAP). Retrieved from https://www.webofscience.com/
Iterative Filtering and Smoothing in Nonlinear and Non-Gaussian Systems Using Conditional Moments
Tronarp, F., Garcia-Fernandez, A. F., & Sarkka, S. (2018). Iterative Filtering and Smoothing in Nonlinear and Non-Gaussian Systems Using Conditional Moments. IEEE SIGNAL PROCESSING LETTERS, 25(3), 408-412. doi:10.1109/LSP.2018.2794767
Poisson Multi-Bernoulli Mixture Filter: Direct Derivation and Implementation
Garcia-Fernandez, A. F., Williams, J., Granstrom, K., & Svensson, L. (2018). Poisson multi-Bernoulli mixture filter: direct derivation and implementation. IEEE Transactions on Aerospace and Electronic Systems, 54(4), 1883-1901. doi:10.1109/TAES.2018.2805153
Cooperative Localization Using Posterior Linearization Belief Propagation
Garcia-Fernandez, A. F., Svensson, L., & Sarkka, S. (2018). Cooperative Localization Using Posterior Linearization Belief Propagation. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 67(1), 832-836. doi:10.1109/TVT.2017.2734683
Trajectory probability hypothesis density filter.
García-Fernández, Á. F., & Svensson, L. (2018). Trajectory probability hypothesis density filter.. In FUSION (pp. 1430-1437). IEEE. Retrieved from https://ieeexplore.ieee.org/xpl/conhome/8442112/proceeding
2017
Adaptive Auxiliary Particle Filter for Track-Before-Detect With Multiple Targets
Ubeda-Medina, L., Garcia-Fernandez, A. F., & Grajal, J. (2017). Adaptive Auxiliary Particle Filter for Track-Before-Detect With Multiple Targets. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 53(5), 2317-2330. doi:10.1109/TAES.2017.2691958
Generalized optimal sub-pattern assignment metric
Rahmathullah, A. S., Garcia-Fernandez, A. F., & Svensson, L. (2017). Generalized optimal sub-pattern assignment metric. In 2017 20TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION) (pp. 182-189). Retrieved from https://www.webofscience.com/
Performance Evaluation of Multi-Bernoulli Conjugate Priors for Multi-Target Filtering
Xia, Y., Granstrom, K., Svensson, L., & Garcia-Fernandez, A. F. (2017). Performance Evaluation of Multi-Bernoulli Conjugate Priors for Multi-Target Filtering. In 2017 20TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION) (pp. 644-651). Retrieved from https://www.webofscience.com/
Performance Evaluation of Nonlinearity and Non-Gaussianity Measures in State Estimation
Dunik, J., Straka, O., & Garcia-Fernandez, A. F. (2017). Performance Evaluation of Nonlinearity and Non-Gaussianity Measures in State Estimation. In 2017 20TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION) (pp. 564-573). Retrieved from https://www.webofscience.com/
Target tracking using multiple auxiliary particle filtering
Ubeda-Medina, L., Garcia-Fernandez, A. F., & Grajal, J. (2017). Target tracking using multiple auxiliary particle filtering. In 2017 20TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION) (pp. 9-16). Retrieved from https://www.webofscience.com/
Iterated Posterior Linearization Smoother
Garcia-Fernandez, A. F., Svensson, L., & Sarkka, S. (2017). Iterated Posterior Linearization Smoother. IEEE Transactions on Automatic Control, 62(4), 2056-2063. doi:10.1109/TAC.2016.2592681
Kullback-Leibler divergence approach to partitioned update Kalman filter
Raitoharju, M., Garcia-Fernandez, A. F., & Piche, R. (2017). Kullback-Leibler divergence approach to partitioned update Kalman filter. SIGNAL PROCESSING, 130, 289-298. doi:10.1016/j.sigpro.2016.07.007
Performance evaluation of multi-bernoulli conjugate priors for multi-target filtering.
Xia, Y., Granström, K., Svensson, L., & García-Fernández, Á. F. (2017). Performance evaluation of multi-bernoulli conjugate priors for multi-target filtering.. In FUSION (pp. 1-8). IEEE. Retrieved from https://ieeexplore.ieee.org/xpl/conhome/8002854/proceeding
Performance evaluation of nonlinearity and non-Gaussianity measures in state estimation.
Duník, J., Straka, O., & García-Fernández, Á. L. (2017). Performance evaluation of nonlinearity and non-Gaussianity measures in state estimation.. In FUSION (pp. 1-10). IEEE. Retrieved from https://ieeexplore.ieee.org/xpl/conhome/8002854/proceeding
Target tracking using multiple auxiliary particle filtering.
Ubeda-Medina, L., García-Fernández, Á. F., & Grajal, J. (2017). Target tracking using multiple auxiliary particle filtering.. In FUSION (pp. 1-8). IEEE. Retrieved from https://ieeexplore.ieee.org/xpl/conhome/8002854/proceeding
2016
Uncertainty Exchange Through Multiple Quadrature Kalman Filtering
Vila-Valls, J., Closas, P., & Garcia-Fernandez, A. F. (2016). Uncertainty Exchange Through Multiple Quadrature Kalman Filtering. IEEE SIGNAL PROCESSING LETTERS, 23(12), 1825-1829. doi:10.1109/LSP.2016.2618397
Long-Range Road Geometry Estimation Using Moving Vehicles and Roadside Observations
Hammarstrand, L., Fatemi, M., Garcia-Fernandez, A. F., & Svensson, L. (2016). Long-Range Road Geometry Estimation Using Moving Vehicles and Roadside Observations. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 17(8), 2144-2158. doi:10.1109/TITS.2016.2517701
Trajectory probability hypothesis density filter
Garcia-Fernandez, A. F., & Svensson, L. (2018). Trajectory probability hypothesis density filter. 2018 21ST INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), 1430-1437. Retrieved from https://www.webofscience.com/
Track-Before-Detect Labeled Multi-Bernoulli Particle Filter With Label Switching
Garcia-Fernandez, A. F. (2016). Track-Before-Detect Labeled Multi-Bernoulli Particle Filter With Label Switching. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 52(5), 2123-2138. doi:10.1109/TAES.2016.150343
2015
Derivation of the PHD filter based on direct Kullback-Leibler divergence minimisation
Garcia-Fernandez, A. F., & Vo, B. -N. (2015). Derivation of the PHD filter based on direct Kullback-Leibler divergence minimisation. In FOURTH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND INFORMATION SCIENCES (CCAIS 2015) (pp. 209-213). Retrieved from https://www.webofscience.com/
Explicit filtering equations for labelled random finite sets
Garcia-Fernandez, A. F., & Morelande, M. R. (2015). Explicit filtering equations for labelled random finite sets. In FOURTH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND INFORMATION SCIENCES (CCAIS 2015) (pp. 349-354). Retrieved from https://www.webofscience.com/
Posterior Linearization Filter: Principles and Implementation Using Sigma Points
Garcia-Fernandez, A. F., Svensson, L., Morelande, M. R., & Sarkka, S. (2015). Posterior Linearization Filter: Principles and Implementation Using Sigma Points. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 63(20), 5561-5573. doi:10.1109/TSP.2015.2454485
Derivation of the PHD and CPHD Filters Based on Direct Kullback-Leibler Divergence Minimization
Garcia-Fernandez, A. F., & Vo, B. -N. (2015). Derivation of the PHD and CPHD Filters Based on Direct Kullback–Leibler Divergence Minimization. IEEE Transactions on Signal Processing, 63(21), 5812-5820. doi:10.1109/TSP.2015.2468677
Gaussian MAP Filtering Using Kalman Optimization
Garcia-Fernandez, A. F., & Svensson, L. (2015). Gaussian MAP Filtering Using Kalman Optimization. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 60(5), 1336-1349. doi:10.1109/TAC.2014.2372909
Adaptive unscented Gaussian likelihood approximation filter
Garcia-Fernandez, A. F., Morelande, M. R., Grajal, J., & Svensson, L. (2015). Adaptive unscented Gaussian likelihood approximation filter. AUTOMATICA, 54, 166-175. doi:10.1016/j.automatica.2015.02.005
2014
Bayesian Sequential Track Formation
Garcia-Fernandez, A. F., Morelande, M. R., & Grajal, J. (2014). Bayesian Sequential Track Formation. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 62(24), 6366-6379. doi:10.1109/TSP.2014.2364013
Road Geometry Estimation Using a Precise Clothoid Road Model and Observations of Moving Vehicles
Fatemi, M., Hammarstrand, L., Svensson, L., & Garcia-Fernandez, A. F. (2014). Road Geometry Estimation Using a Precise Clothoid Road Model and Observations of Moving Vehicles. In 2014 IEEE 17TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC) (pp. 238-244). Retrieved from https://www.webofscience.com/
Generalizations of the auxiliary particle filter for multiple target tracking
Ubeda-Medina, L., Garcia-Fernandez, A. F., & Grajal, J. (2014). Generalizations of the auxiliary particle filter for multiple target tracking. In 2014 17TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION). Retrieved from https://www.webofscience.com/
Iterated statistical linear regression for Bayesian updates
Garcia-Fernandez, A. F., Svensson, L., & Morelande, M. R. (2014). Iterated statistical linear regression for Bayesian updates. In 2014 17TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION). Retrieved from https://www.webofscience.com/
MCMC-based posterior independence approximation for RFS multitarget particle filters
Garcia-Fernandez, A. F., Vo, B. -N., & Vo, B. -T. (2014). MCMC-based posterior independence approximation for RFS multitarget particle filters. In 2014 17TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION). Retrieved from https://www.webofscience.com/
Labelled OSPA metric for fixed and known number of targets
García-Fernández, Á. F., Morelande, M. R., & Grajal, J. (2014). Labelled OSPA metric for fixed and known number of targets. Retrieved from http://arxiv.org/abs/1404.3041v2
Bayesian Road Estimation Using Onboard Sensors
Garcia-Fernandez, A. F., Hammarstrand, L., Fatemi, M., & Svensson, L. (2014). Bayesian Road Estimation Using Onboard Sensors. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 15(4), 1676-1689. doi:10.1109/TITS.2014.2303811
2013
Analysis of Kalman Filter Approximations for Nonlinear Measurements
Morelande, M. R., & Garcia-Fernandez, A. F. (2013). Analysis of Kalman Filter Approximations for Nonlinear Measurements. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 61(22), 5477-5484. doi:10.1109/TSP.2013.2279367
Back-Scattering of a Helicopter with a Millimeter-Wave LFMCW Radar
Garcia-Fernandez, A. F., Grajal, J., & Yeste-Ojeda, O. A. (2013). Back-Scattering of a Helicopter with a Millimeter-Wave LFMCW Radar. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 49(4), 2781-2792. doi:10.1109/TAES.2013.6621853
Two-Layer Particle Filter for Multiple Target Detection and Tracking
Garcia-Fernandez, A. F., Grajal, J., & Morelande, M. R. (2013). Two-Layer Particle Filter for Multiple Target Detection and Tracking. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 49(3), 1569-1588. doi:10.1109/TAES.2013.6558005
2012
Performance Evaluation of Random Set Based Pedestrian Tracking Algorithms
Ristic, B., Sherrah, J., & Garcia-Fernandez, A. F. (2013). Performance Evaluation of Random Set Based Pedestrian Tracking Algorithms. In 2013 IEEE EIGHTH INTERNATIONAL CONFERENCE ON INTELLIGENT SENSORS, SENSOR NETWORKS AND INFORMATION PROCESSING (pp. 300-305). Retrieved from https://www.webofscience.com/
Mixture truncated unscented Kalman filtering
García-Fernández, A. F., Morelande, M. R., & Grajal, J. (2012). Mixture truncated unscented Kalman filtering. In 15th International Conference on Information Fusion Fusion 2012 (pp. 479-486).
Truncated Unscented Kalman Filtering
Garcia-Fernandez, A. F., Morelande, M. R., & Grajal, J. (2012). Truncated Unscented Kalman Filtering. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 60(7), 3372-3386. doi:10.1109/TSP.2012.2193393
2011
A prototype of High Resolution ISAR imaging system at millimetre-wave band
Grajal, J., Mencia-Oliva, B., Yeste-Ojeda, O. A., Garcia-Fernandez, A. F., & Rubio-Cidre, G. (2011). A prototype of High Resolution ISAR imaging system at millimetre-wave band. In Proceedings of 2011 IEEE CIE International Conference on Radar (pp. 551-554). IEEE. doi:10.1109/cie-radar.2011.6159600
Multitarget Simultaneous Localization and Mapping of a Sensor Network
Garcia-Fernandez, A. F., Morelande, M. R., & Grajal, J. (2011). Multitarget Simultaneous Localization and Mapping of a Sensor Network. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 59(10), 4544-4558. doi:10.1109/TSP.2011.2160862
Nonlinear filtering update phase via the single point truncated unscented Kalman filter
García-Fernández, A. F., Morelande, M. R., & Grajal, J. (2011). Nonlinear filtering update phase via the single point truncated unscented Kalman filter. In Fusion 2011 14th International Conference on Information Fusion.
Particle filter for extracting target label information when targets move in close proximity
García-Fernández, A. F., Morelande, M. R., & Grajal, J. (2011). Particle filter for extracting target label information when targets move in close proximity. In Fusion 2011 14th International Conference on Information Fusion.
SEQUENTIAL MULTIPLE TARGET DETECTION USING PARTICLE FILTERS
Garcia-Fernandez, A. F., & Grajal, J. (2011). SEQUENTIAL MULTIPLE TARGET DETECTION USING PARTICLE FILTERS. In 2011 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP (SSP) (pp. 745-748). Retrieved from https://www.webofscience.com/
Asynchronous particle filter for tracking using non-synchronous sensor networks
Garcia-Fernandez, A. F., & Grajal, J. (2011). Asynchronous particle filter for tracking using non-synchronous sensor networks. SIGNAL PROCESSING, 91(10), 2304-2313. doi:10.1016/j.sigpro.2011.04.013
2010
Facet Model of Moving Targets for ISAR Imaging and Radar Back-Scattering Simulation
Garcia-Fernandez, A. F., Yeste-Ojeda, O. A., & Grajal, J. (2010). Facet Model of Moving Targets for ISAR Imaging and Radar Back-Scattering Simulation. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 46(3), 1455-1467. doi:10.1109/TAES.2010.5545200
2009
Multitarget tracking using the Joint Multitrack Probability Density
Garcia-Fernandez, A. F., & Grajal, J. (2009). Multitarget tracking using the Joint Multitrack Probability Density. In FUSION: 2009 12TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION, VOLS 1-4 (pp. 595-602). Retrieved from https://www.webofscience.com/
2008
Analysis of ISAR images of a helicopter by a facet model
Garcia-Fernandez, A. F., Grajal, J., & Yeste-Ojeda, O. A. (2008). Analysis of ISAR images of a helicopter by a facet model. In 2008 INTERNATIONAL CONFERENCE ON RADAR, VOLS 1 AND 2 (pp. 444-449). Retrieved from https://www.webofscience.com/
Analysis of ISAR images of a helicopter by a facet model
Garcia-Fernandez, A. F., Grajal, J., & Yeste-Ojeda, O. A. (2008). Analysis of ISAR images of a helicopter by a facet model. In 2008 International Conference on Radar (pp. 32-37). IEEE. doi:10.1109/radar.2008.4653887