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 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

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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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