Karl Granström
Researcher at
Chalmers, Electrical Engineering, Signalbehandling och medicinsk teknik, Signal Processing
Karl Granström is a Postdoc in the Signal Processing group. Before staring at Chalmers he was a Postdoc at the University of Connecticut, where he worked together with Peter Willett and Yaakov Bar-Shalom. Karl received his PhD degree in Automatic Control in November 2012, and the Master of Science degree in Applied Physics and Electrical Engineering in May 2008, both from Linköping University. His research interests are within the fields of sensor fusion, robotics and machine learning.
Source: chalmers.se
Showing 31 publications
2019
Bayesian Smoothing for the Extended Object Random Matrix Model
Karl Granström, Jakob Bramstång
IEEE Transactions on Signal Processing. Vol. 67 (14), p. 3732-3742
Journal article
2018
An Implementation of the Poisson Multi-Bernoulli Mixture Trajectory Filter via Dual Decomposition
Yuxuan Xia, Karl Granström, Lennart Svensson et al
2018 21st International Conference on Information Fusion, FUSION 2018, p. 2453-2460
Paper in proceedings
2018
Tracking Initially Unresolved Thrusting Objects Using an Optical Sensor
Q. Lu, Y. Bar-Shalom, Peter Willett et al
IEEE Transactions on Aerospace and Electronic Systems. Vol. 54 (2), p. 794-807
Journal article
2018
Poisson Multi-Bernoulli Mixture Trackers: Continuity Through Random Finite Sets of Trajectories
Karl Granström, Lennart Svensson, Yuxuan Xia et al
2018 21st International Conference on Information Fusion, FUSION 2018, p. 973-981
Paper in proceedings
2018
Mono-Camera 3D Multi-Object Tracking Using Deep Learning Detections and PMBM Filtering
Samuel Scheidegger, Joachim Benjaminsson, Emil Rosenberg et al
IEEE Intelligent Vehicles Symposium, Proceedings. Vol. 2018-June, p. 433-440
Paper in proceedings
2018
Multiple Target Tracking With Uncertain Sensor State Applied To Autonomous Vehicle Data
Markus Fröhle, Karl Granström, Henk Wymeersch
2018 IEEE Statistical Signal Processing Workshop (SSP), p. 628-632
Paper in proceedings
2018
Poisson Multi-Bernoulli Mixture Filter: Direct Derivation and Implementation
Angel Garcia, Jason L. Williams, Karl Granström et al
IEEE Transactions on Aerospace and Electronic Systems. Vol. 54 (4), p. 1883-1901
Journal article
2017
Pedestrian tracking using Velodyne data-Stochastic optimization for extended object tracking
Karl Granström, S. Renter, Maryam Fatemi et al
28th IEEE Intelligent Vehicles Symposium, IV 2017, Redondo Beach, United States, 11-14 June 2017, p. 39-46
Paper in proceedings
2017
Multiple Sensor Measurement Updates for the Extended Target Tracking Random Matrix Model
G. Vivone, Karl Granström, P. Braca et al
IEEE Transactions on Aerospace and Electronic Systems. Vol. 53 (5), p. 2544-2558
Journal article
2017
Likelihood-Based Data Association for Extended Object Tracking Using Sampling Methods
Karl Granström, Lennart Svensson, Stephan Reuter et al
IEEE Transactions on Intelligent Vehicles. Vol. 3 (1), p. 30-45
Journal article
2017
Poisson Multi-Bernoulli Mapping Using Gibbs Sampling
Maryam Fatemi, Karl Granström, Lennart Svensson et al
IEEE Transactions on Signal Processing. Vol. 65 (11), p. 2814-2827
Journal article
2017
Performance evaluation of multi-Bernoulli conjugate priors for multi-target filtering
Yuxuan Xia, Karl Granström, Lennart Svensson et al
Paper in proceedings
2017
Tracking initially unresolved thrusting objects in 3D using a single stationary optical sensor
Q. Lu, Y. Bar-Shalom, P. Willett et al
Proceedings of SPIE - The International Society for Optical Engineering. Vol. 10200, p. Article no 1020002-
Paper in proceedings
2017
A fast implementation of the Labeled Multi-Bernoulli filter using gibbs sampling
S. Reuter, A. Danzer, M. Stubler et al
28th IEEE Intelligent Vehicles Symposium, IV 2017, Redondo Beach, United States, 11-14 June 2017, p. 765-772
Paper in proceedings
2017
Performance evaluation of multi-bernoulli conjugate priors for multi-target filtering
Yuxuan Xia, Karl Granström, Lennart Svensson et al
20th International Conference on Information Fusion, Fusion 2017, Xian, China, 10-13 July 2017, p. 644-651
Paper in proceedings
2017
Converted measurements Bayesian extended target tracking applied to x-band marine radar data
G. Vivone, P. Braca, Karl Granström et al
Journal of Advances in Information Fusion. Vol. 12 (2), p. 189-210
Journal article
2017
Extended OBJECT TRACKING: Introduction, overview, and applications
Karl Granström, M. Baum, S. Reuter
Journal of Advances in Information Fusion. Vol. 12 (2), p. 139-174
Journal article
2016
Multistatic Bayesian Extended Target Tracking
G. Vivone, P. Braca, Karl Granström et al
IEEE Transactions on Aerospace and Electronic Systems. Vol. 52 (6), p. 2626-2643
Journal article
2016
Approximate Multi-Hypothesis Multi-Bernoulli Multi-Object Filtering Made Multi-Easy
Karl Granström, P. Willett, Y. Bar-Shalom
IEEE Transactions on Signal Processing. Vol. 64 (7), p. 1784-1797
Journal article
2016
Multiple sensor Bayesian extended target tracking fusion approaches using random matrices
G. Vivone, Karl Granström, P. Braca et al
FUSION 2016 - 19th International Conference on Information Fusion, Proceedings, p. 886-892
Paper in proceedings
2016
Metrics for performance evaluation of elliptic extended object tracking methods
S. Yang, M. Baum, Karl Granström
IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, p. 523-528
Paper in proceedings
2016
Gamma Gaussian inverse-Wishart Poisson multi-Bernoulli filter for extended target tracking
Karl Granström, Maryam Fatemi, Lennart Svensson
FUSION 2016 - 19th International Conference on Information Fusion, Proceedings, p. 893-900
Paper in proceedings
2016
Poisson multi-Bernoulli filter for extended object tracking
Maryam Fatemi, Lennart Svensson, Karl Granström
Preprint
2016
Asymmetric Threat Modeling Using HMMs: Bernoulli Filtering and Detectability Analysis
Karl Granström, P. Willett, Y. Bar-Shalom
IEEE Transactions on Signal Processing. Vol. 64 (10), p. 2587-2601
Journal article
2016
Multiple Extended Target Tracking With Labeled Random Finite Sets
M. Beard, S. Reuter, Karl Granström et al
IEEE Transactions on Signal Processing. Vol. 64 (7), p. 1638-1653
Journal article
2016
Poisson multi-Bernoulli conjugate prior for estimation of both detected and undetected extended objects
Karl Granström, Maryam Fatemi, Lennart Svensson
Preprint
2016
Poisson Multi-Bernoulli Radar Mapping Using Gibbs Sampling
Maryam Fatemi, Karl Granström, Lennart Svensson et al
Preprint
2016
Multiple Sensor Bayesian Extended Target Tracking Fusion Approaches Using Random Matrices
G. Vivone, Karl Granström, P. Braca et al
2016 19th International Conference on Information Fusion (Fusion), p. 886-892
Paper in proceedings
2016
Multi-Bernoulli Filtering for Initially Unresolved Targets in Clutter
Q. Lu, Karl Granström, Y. Bar-Shalom et al
Proceedings of SPIE - The International Society for Optical Engineering. Vol. 9842, p. UNSP 98421J-
Paper in proceedings
2016
Detectability prediction of hidden Markov models with cluttered observation sequences
Karl Granström, P. Willett, Y. Bar-Shalom
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, p. 4269-4273
Paper in proceedings
2015
Systematic Approach to IMM Mixing for Unequal Dimension States
Karl Granström, P. Willett, Y. Bar-Shalom
IEEE Transactions on Aerospace and Electronic Systems. Vol. 51 (4), p. 2975-2986
Journal article
Showing 1 research projects
2018–2022
Deep multi-object tracking for ground truth trajectory estimation
Tomas McKelvey
Signalbehandling och medicinsk teknik
Karl Granström
Signalbehandling och medicinsk teknik
Lennart Svensson
Signalbehandling och medicinsk teknik
VINNOVA
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