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Karl Granström
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- affiliation: Chalmers University of Technology, Sweden
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2020 – today
- 2023
- [j32]Yuxuan Xia, Ángel F. García-Fernández, Florian Meyer, Jason L. Williams, Karl Granström, Lennart Svensson:
Trajectory PMB Filters for Extended Object Tracking Using Belief Propagation. IEEE Trans. Aerosp. Electron. Syst. 59(6): 9312-9331 (2023) - 2022
- [j31]Yuxuan Xia, Karl Granström, Lennart Svensson, Maryam Fatemi, Ángel F. García-Fernández, Jason L. Williams:
Poisson Multi-Bernoulli Approximations for Multiple Extended Object Filtering. IEEE Trans. Aerosp. Electron. Syst. 58(2): 890-906 (2022) - [j30]Yuxuan Xia, Lennart Svensson, Ángel F. García-Fernández, Jason L. Williams, Daniel Svensson, Karl Granström:
Multiple Object Trajectory Estimation Using Backward Simulation. IEEE Trans. Signal Process. 70: 3249-3263 (2022) - [j29]Hyowon Kim, Karl Granström, Lennart Svensson, Sunwoo Kim, Henk Wymeersch:
PMBM-Based SLAM Filters in 5G mmWave Vehicular Networks. IEEE Trans. Veh. Technol. 71(8): 8646-8661 (2022) - [d1]Hyowon Kim, Karl Granström, Lin Gao, Giorgio Battistelli, Sunwoo Kim, Henk Wymeersch:
5G mmWave Cooperative Positioning and Mapping using Multi-Model PHD Filter and Map Fusion. IEEE DataPort, 2022 - 2021
- [j28]Yuxuan Xia, Pu Wang, Karl Berntorp, Lennart Svensson, Karl Granström, Hassan Mansour, Petros Boufounos, Philip V. Orlik:
Learning-Based Extended Object Tracking Using Hierarchical Truncation Measurement Model With Automotive Radar. IEEE J. Sel. Top. Signal Process. 15(4): 1013-1029 (2021) - 2020
- [j27]Markus Fröhle, Karl Granström, Henk Wymeersch:
Decentralized Poisson Multi-Bernoulli Filtering for Vehicle Tracking. IEEE Access 8: 126414-126427 (2020) - [j26]Karl Granström, Maryam Fatemi, Lennart Svensson:
Poisson Multi-Bernoulli Mixture Conjugate Prior for Multiple Extended Target Filtering. IEEE Trans. Aerosp. Electron. Syst. 56(1): 208-225 (2020) - [j25]Ángel F. García-Fernández, Lennart Svensson, Jason L. Williams, Yuxuan Xia, Karl Granström:
Trajectory Poisson Multi-Bernoulli Filters. IEEE Trans. Signal Process. 68: 4933-4945 (2020) - [j24]Hyowon Kim, Karl Granström, Lin Gao, Giorgio Battistelli, Sunwoo Kim, Henk Wymeersch:
5G mmWave Cooperative Positioning and Mapping Using Multi-Model PHD Filter and Map Fusion. IEEE Trans. Wirel. Commun. 19(6): 3782-3795 (2020) - [c42]Ángel F. García-Fernández, Lennart Svensson, Jason L. Williams, Yuxuan Xia, Karl Granström:
Trajectory multi-Bernoulli filters for multi-target tracking based on sets of trajectories. FUSION 2020: 1-8 - [c41]Karl Granström, Lennart Svensson, Yuxuan Xia, Ángel F. García-Fernández, Jason L. Williams:
Spatiotemporal Constraints for Sets of Trajectories with Applications to PMBM Densities. FUSION 2020: 1-8 - [c40]Yuxuan Xia, Lennart Svensson, Ángel F. García-Fernández, Karl Granström, Jason L. Williams:
Backward Simulation for Sets of Trajectories. FUSION 2020: 1-8 - [c39]Hyowon Kim, Karl Granström, Sunwoo Kim, Henk Wymeersch:
Low-Complexity 5g Slam with CKF-PHD Filter. ICASSP 2020: 5220-5224 - [c38]Hyowon Kim, Karl Granström, Lin Gao, Giorgio Battistelli, Sunwoo Kim, Henk Wymeersch:
Joint CKF-PHD Filter and Map Fusion for 5G Multi-cell SLAM. ICC 2020: 1-6 - [i12]Ángel F. García-Fernández, Lennart Svensson, Jason L. Williams, Yuxuan Xia, Karl Granström:
Trajectory Poisson multi-Bernoulli filters. CoRR abs/2003.12767 (2020)
2010 – 2019
- 2019
- [j23]Markus Fröhle, Christopher Lindberg, Karl Granström, Henk Wymeersch:
Multisensor Poisson Multi-Bernoulli Filter for Joint Target-Sensor State Tracking. IEEE Trans. Intell. Veh. 4(4): 609-621 (2019) - [j22]Karl Granström, Jakob Bramstång:
Bayesian Smoothing for the Extended Object Random Matrix Model. IEEE Trans. Signal Process. 67(14): 3732-3742 (2019) - [c37]Ángel F. García-Fernández, Yuxuan Xia, Karl Granström, Lennart Svensson, Jason L. Williams:
Gaussian implementation of the multi-Bernoulli mixture filter. FUSION 2019: 1-8 - [c36]Karl Granström, Jakob Bramstång:
Bayesian Extended Object Smoothing for the Random Matrix Model. FUSION 2019: 1-8 - [c35]Yuxuan Xia, Karl Granström, Lennart Svensson, Ángel F. García-Fernández, Jason L. Williams:
Extended target Poisson multi-Bernoulli mixture trackers based on sets of trajectories. FUSION 2019: 1-8 - [i11]Markus Fröhle, Karl Granström, Henk Wymeersch:
Decentralized Poisson Multi-Bernoulli Filtering for Extended Target Tracking. CoRR abs/1901.04518 (2019) - [i10]Ángel F. García-Fernández, Yuxuan Xia, Karl Granström, Lennart Svensson, Jason L. Williams:
Gaussian implementation of the multi-Bernoulli mixture filter. CoRR abs/1908.08819 (2019) - [i9]Karl Granström, Lennart Svensson, Yuxuan Xia, Jason L. Williams, Ángel F. García-Fernández:
Poisson Multi-Bernoulli Mixtures for Sets of Trajectories. CoRR abs/1912.08718 (2019) - 2018
- [j21]Qin Lu, Yaakov Bar-Shalom, Peter Willett, Ronen Ben-Dov, Benny Milgrom, Karl Granström:
Tracking Initially Unresolved Thrusting Objects Using an Optical Sensor. IEEE Trans. Aerosp. Electron. Syst. 54(2): 794-807 (2018) - [j20]Ángel F. García-Fernández, Jason L. Williams, Karl Granström, Lennart Svensson:
Poisson Multi-Bernoulli Mixture Filter: Direct Derivation and Implementation. IEEE Trans. Aerosp. Electron. Syst. 54(4): 1883-1901 (2018) - [j19]Karl Granström, Lennart Svensson, Stephan Reuter, Yuxuan Xia, Maryam Fatemi:
Likelihood-Based Data Association for Extended Object Tracking Using Sampling Methods. IEEE Trans. Intell. Veh. 3(1): 30-45 (2018) - [c34]Karl Granström, Lennart Svensson, Yuxuan Xia, Jason L. Williams, Ángel F. García-Fernández:
Poisson Multi-Bernoulli Mixture Trackers: Continuity Through Random Finite Sets of Trajectories. FUSION 2018: 1-5 - [c33]Yuxuan Xia, Karl Granström, Lennart Svensson, Ángel F. García-Fernández:
An Implementation of the Poisson Multi-Bernoulli Mixture Trajectory Filter via Dual Decomposition. FUSION 2018: 1-8 - [c32]Samuel Scheidegger, Joachim Benjaminsson, Emil Rosenberg, Amrit Krishnan, Karl Granström:
Mono-Camera 3D Multi-Object Tracking Using Deep Learning Detections and PMBM Filtering. Intelligent Vehicles Symposium 2018: 433-440 - [c31]Markus Fröhle, Karl Granström, Henk Wymeersch:
Multiple Target Tracking With Uncertain Sensor State Applied To Autonomous Vehicle Data. SSP 2018: 628-632 - [i8]Samuel Scheidegger, Joachim Benjaminsson, Emil Rosenberg, Amrit Krishnan, Karl Granström:
Mono-Camera 3D Multi-Object Tracking Using Deep Learning Detections and PMBM Filtering. CoRR abs/1802.09975 (2018) - [i7]Maryam Fatemi, Karl Granström, Lennart Svensson, Francisco J. R. Ruiz, Lars Hammarstrand:
Poisson Multi-Bernoulli Mapping Using Gibbs Sampling. CoRR abs/1811.03154 (2018) - [i6]Karl Granström, Lennart Svensson, Yuxuan Xia, Jason L. Williams, Ángel F. García-Fernández:
Poisson multi-Bernoulli mixture trackers: continuity through random finite sets of trajectories. CoRR abs/1812.05131 (2018) - 2017
- [j18]Karl Granström, Umut Orguner, Ronald P. S. Mahler, Christian Lundquist:
Corrections on: "Extended Target Tracking Using a Gaussian-Mixture PHD Filter". IEEE Trans. Aerosp. Electron. Syst. 53(2): 1055-1058 (2017) - [j17]Gemine Vivone, Karl Granström, Paolo Braca, Peter Willett:
Multiple Sensor Measurement Updates for the Extended Target Tracking Random Matrix Model. IEEE Trans. Aerosp. Electron. Syst. 53(5): 2544-2558 (2017) - [j16]Maryam Fatemi, Karl Granström, Lennart Svensson, Francisco J. R. Ruiz, Lars Hammarstrand:
Poisson Multi-Bernoulli Mapping Using Gibbs Sampling. IEEE Trans. Signal Process. 65(11): 2814-2827 (2017) - [c30]Yuxuan Xia, Karl Granström, Lennart Svensson, Ángel F. García-Fernández:
Performance evaluation of multi-bernoulli conjugate priors for multi-target filtering. FUSION 2017: 1-8 - [c29]Karl Granström, Stephan Renter, Maryam Fatemi, Lennart Svensson:
Pedestrian tracking using Velodyne data - Stochastic optimization for extended object tracking. Intelligent Vehicles Symposium 2017: 39-46 - [c28]Stephan Reuter, Andreas Danzer, Manuel Stuebler, Alexander Scheel, Karl Granström:
A fast implementation of the Labeled Multi-Bernoulli filter using gibbs sampling. Intelligent Vehicles Symposium 2017: 765-772 - [i5]Ángel F. García-Fernández, Jason L. Williams, Karl Granström, Lennart Svensson:
Poisson multi-Bernoulli mixture filter: direct derivation and implementation. CoRR abs/1703.04264 (2017) - [i4]Markus Fröhle, Christopher Lindberg, Karl Granström, Henk Wymeersch:
Multisensor Poisson Multi-Bernoulli Filtering with Uncertain Sensor States. CoRR abs/1712.08146 (2017) - 2016
- [j15]Gemine Vivone, Paolo Braca, Karl Granström, Peter Willett:
Multistatic Bayesian extended target tracking. IEEE Trans. Aerosp. Electron. Syst. 52(6): 2626-2643 (2016) - [j14]Michael Beard, Stephan Reuter, Karl Granström, Ba-Tuong Vo, Ba-Ngu Vo, Alexander Scheel:
Multiple Extended Target Tracking With Labeled Random Finite Sets. IEEE Trans. Signal Process. 64(7): 1638-1653 (2016) - [j13]Karl Granström, Peter Willett, Yaakov Bar-Shalom:
Approximate Multi-Hypothesis Multi-Bernoulli Multi-Object Filtering Made Multi-Easy. IEEE Trans. Signal Process. 64(7): 1784-1797 (2016) - [j12]Karl Granström, Peter Willett, Yaakov Bar-Shalom:
Asymmetric Threat Modeling Using HMMs: Bernoulli Filtering and Detectability Analysis. IEEE Trans. Signal Process. 64(10): 2587-2601 (2016) - [c27]Gemine Vivone, Karl Granström, Paolo Braca, Peter Willett:
Multiple sensor Bayesian extended target tracking fusion approaches using random matrices. FUSION 2016: 886-892 - [c26]Karl Granström, Maryam Fatemi, Lennart Svensson:
Gamma Gaussian inverse-Wishart Poisson multi-Bernoulli filter for extended target tracking. FUSION 2016: 893-900 - [c25]Karl Granström, Peter Willett, Yaakov Bar-Shalom:
Detectability prediction of hidden Markov models with cluttered observation sequences. ICASSP 2016: 4269-4273 - [c24]Shishan Yang, Marcus Baum, Karl Granström:
Metrics for performance evaluation of elliptic extended object tracking methods. MFI 2016: 523-528 - [i3]Karl Granström, Marcus Baum:
Extended Object Tracking: Introduction, Overview and Applications. CoRR abs/1604.00970 (2016) - [i2]Karl Granström, Maryam Fatemi, Lennart Svensson:
Poisson multi-Bernoulli conjugate prior for multiple extended object estimation. CoRR abs/1605.06311 (2016) - 2015
- [j11]Tohid Ardeshiri, Karl Granström, Emre Özkan, Umut Orguner:
Greedy Reduction Algorithms for Mixtures of Exponential Family. IEEE Signal Process. Lett. 22(6): 676-680 (2015) - [j10]Karl Granström, Peter Willett, Yaakov Bar-Shalom:
Systematic approach to IMM mixing for unequal dimension states. IEEE Trans. Aerosp. Electron. Syst. 51(4): 2975-2986 (2015) - [j9]Karl Granström, Antonio Natale, Paolo Braca, Giovanni Ludeno, Francesco Serafino:
Gamma Gaussian Inverse Wishart Probability Hypothesis Density for Extended Target Tracking Using X-Band Marine Radar Data. IEEE Trans. Geosci. Remote. Sens. 53(12): 6617-6631 (2015) - [c23]Karl Granström, Peter Willett, Yaakov Bar-Shalom:
IMM Without a match. CAMSAP 2015: 109-112 - [c22]Stephan Reuter, Alexander Scheel, Michael Beard, Karl Granström, Ba-Tuong Vo, Ba-Ngu Vo, Klaus Dietmayer:
Environment Perception for Companion Systems. ISCT 2015: 68-72 - [c21]Karl Granström, Peter Willett, Yaakov Bar-Shalom:
Detectability analysis of detection and estimation of structured action from cluttered data. FUSION 2015: 173-179 - [c20]Gemine Vivone, Paolo Braca, Karl Granström, Antonio Natale, Jocelyn Chanussot:
Converted measurements random matrix approach to extended target tracking using X-band marine radar data. FUSION 2015: 976-983 - [c19]Michael Beard, Stephan Reuter, Karl Granström, Ba-Tuong Vo, Ba-Ngu Vo, Alexander Scheel:
A generalised labelled multi-Bernoulli filter for extended multi-target tracking. FUSION 2015: 991-998 - [c18]Karl Granström, Peter Willett, Yaakov Bar-Shalom:
An extended target tracking model with multiple random matrices and unified kinematics. FUSION 2015: 1007-1014 - [c17]Karl Granström, Peter Willett, Yaakov Bar-Shalom:
PHD filter with approximate multiobject density measurement update. FUSION 2015: 1802-1809 - [c16]Karl Granström, Peter Willett, Yaakov Bar-Shalom:
A Bernoulli filter approach to detection and estimation of hidden Markov models using cluttered observation sequences. ICASSP 2015: 3911-3915 - [c15]Stephan Reuter, Michael Beard, Karl Granström, Klaus Dietmayer:
Tracking extended targets in high clutter using a GGIW-LMB filter. SDF 2015: 1-6 - 2014
- [j8]Karl Granström, Christian Lundquist, Fredrik Gustafsson, Umut Orguner:
Random Set Methods: Estimation of Multiple Extended Objects. IEEE Robotics Autom. Mag. 21(2): 73-82 (2014) - [j7]Karl Granström, Umut Orguner:
New prediction for extended targets with random matrices. IEEE Trans. Aerosp. Electron. Syst. 50(2): 1577-1589 (2014) - [c14]Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, Karl Granström, Fredrik Heintz, Piotr Rudol, Mariusz Wzorek, Jonas Kvarnström, Patrick Doherty:
A Low-Level Active Vision Framework for Collaborative Unmanned Aircraft Systems. ECCV Workshops (1) 2014: 223-237 - [c13]Karl Granström, Antonio Natale, Paolo Braca, Giovanni Ludeno, Francesco Serafino:
PHD extended target tracking using an incoherent X-band radar: Preliminary real-world experimental results. FUSION 2014: 1-8 - [c12]Karl Granström, Stephan Reuter, Daniel Alexander Meissner, Alexander Scheel:
A multiple model PHD approach to tracking of cars under an assumed rectangular shape. FUSION 2014: 1-8 - [c11]Alexander Scheel, Karl Granström, Daniel Alexander Meissner, Stephan Reuter, Klaus Dietmayer:
Tracking and data segmentation using a GGIW filter with mixture clustering. FUSION 2014: 1-8 - [i1]Karl Granström:
An extended target tracking model with multiple random matrices and unified kinematics. CoRR abs/1406.2135 (2014) - 2013
- [j6]Christian Lundquist, Karl Granström, Umut Orguner:
An Extended Target CPHD Filter and a Gamma Gaussian Inverse Wishart Implementation. IEEE J. Sel. Top. Signal Process. 7(3): 472-483 (2013) - [j5]Christian Lundquist, Martin A. Skoglund, Karl Granström, S. Torkel Glad:
Insights From Implementing a System for Peer Review. IEEE Trans. Educ. 56(3): 261-267 (2013) - [j4]Karl Granström, Umut Orguner:
On Spawning and Combination of Extended/Group Targets Modeled With Random Matrices. IEEE Trans. Signal Process. 61(3): 678-692 (2013) - [c10]Viktor Edman, Maria Andersson, Karl Granström, Fredrik Gustafsson:
Pedestrian group tracking using the GM-PHD filter. EUSIPCO 2013: 1-5 - [c9]Karl Granström, Christian Lundquist:
On the use of multiple measurement models for extended target tracking. FUSION 2013: 1534-1541 - 2012
- [j3]Karl Granström, Christian Lundquist, Umut Orguner:
Extended Target Tracking using a Gaussian-Mixture PHD Filter. IEEE Trans. Aerosp. Electron. Syst. 48(4): 3268-3286 (2012) - [j2]Karl Granström, Umut Orguner:
A phd Filter for Tracking Multiple Extended Targets Using Random Matrices. IEEE Trans. Signal Process. 60(11): 5657-5671 (2012) - [c8]Karl Granström, Umut Orguner:
On the reduction of Gaussian inverse Wishart mixtures. FUSION 2012: 2162-2169 - [c7]Karl Granström, Umut Orguner:
Estimation and maintenance of measurement rates for multiple extended target tracking. FUSION 2012: 2170-2176 - 2011
- [j1]Karl Granström, Thomas B. Schön, Juan I. Nieto, Fabio T. Ramos:
Learning to close loops from range data. Int. J. Robotics Res. 30(14): 1728-1754 (2011) - [c6]Karl Granström, Christian Lundquist, Umut Orguner:
Tracking rectangular and elliptical extended targets using laser measurements. FUSION 2011: 1-8 - [c5]Christian Lundquist, Karl Granström, Umut Orguner:
Estimating the shape of targets with a PHD filter. FUSION 2011: 1-8 - [c4]Umut Orguner, Christian Lundquist, Karl Granström:
Extended target tracking with a cardinalized probability hypothesis density filter. FUSION 2011: 1-8 - 2010
- [c3]Karl Granström, Christian Lundquist, Umut Orguner:
A Gaussian mixture PHD filter for extended target tracking. FUSION 2010: 1-8 - [c2]Karl Granström, Thomas B. Schön:
Learning to close the loop from 3D point clouds. IROS 2010: 2089-2095
2000 – 2009
- 2009
- [c1]Karl Granström, Jonas Callmer, Fabio T. Ramos, Juan I. Nieto:
Learning to detect loop closure from range data. ICRA 2009: 15-22
Coauthor Index
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