Lennart Svensson

Full Professor at Signal Processing

Lennart Svensson is Professor in Signal Processing. His research interests include nonlinear filtering, multi-target tracking, deep learning, Bayesian inference and reinforcement learning.

Source: chalmers.se
Image of Lennart Svensson

Showing 164 publications

2024

LidarCLIP or: How I Learned to Talk to Point Clouds

Georg Hess, Adam Tonderski, Christoffer Petersson et al
Proceedings of the 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), p. 7423-7432
Paper in proceeding
2024

Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap

Carl Lindström, Georg Hess, Adam Lilja et al
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Paper in proceeding
2024

Improving Open-Set Semi-Supervised Learning with Self-Supervision

Erik Wallin, Lennart Svensson, Fredrik Kahl et al
Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024, p. 2345-2354
Paper in proceeding
2024

Markov Chain Monte Carlo Multi-Scan Data Association for Sets of Trajectories

Yuxuan Xia, Angel Garcia, Lennart Svensson
IEEE Transactions on Aerospace and Electronic Systems. Vol. In Press
Journal article
2024

On the connection between Noise-Contrastive Estimation and Contrastive Divergence

Amanda Olmin, Jakob Lindqvist, Lennart Svensson et al
Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, UAI 2022. Vol. 238, p. 3016-3024
Paper in proceeding
2024

Experimental Validation of Single BS 5G mmWave Positioning and Mapping for Intelligent Transport

Yu Ge, Hedieh Khosravi, Fan Jiang et al
IEEE Transactions on Vehicular Technology. Vol. In Press
Journal article
2024

Set-Type Belief Propagation with Applications to Poisson Multi-Bernoulli SLAM

Hyowon Kim, Angel F. Garcia-Fernsndez, Yu Ge et al
IEEE Transactions on Signal Processing. Vol. 72, p. 1989-2005
Journal article
2024

Graph GOSPA metric: a metric to measure the discrepancy between graphs of different sizes

Jinhao Gu, Angel Garcia, Robert E. Firth et al
IEEE Transactions on Signal Processing. Vol. 72, p. 4037-4049
Journal article
2023

Active Learning with Weak Supervision for Gaussian Processes

Amanda Olmin, Jakob Lindqvist, Lennart Svensson et al
Communications in Computer and Information Science. Vol. 1792 CCIS, p. 195-204
Paper in proceeding
2023

Deep Learning for Model-Based Multi-Object Tracking

Juliano Pinto, Georg Hess, William Ljungbergh et al
IEEE Transactions on Aerospace and Electronic Systems. Vol. 59 (6), p. 7363-7379
Journal article
2023

Deep Fusion of Multi-Object Densities Using Transformer

Lechi Li, Chen Dai, Yuxuan Xia et al
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 2023
Paper in proceeding
2023

Trajectory PMB Filters for Extended Object Tracking Using Belief Propagation

Yuxuan Xia, Angel Garcia, Florian Meyer et al
IEEE Transactions on Aerospace and Electronic Systems. Vol. 59 (6), p. 9312-9331
Journal article
2023

An Efficient Implementation of the Extended Object Trajectory PMB Filter Using Blocked Gibbs Sampling

Yuxuan Xia, Angel Garcia, Lennart Svensson
2023 26th International Conference on Information Fusion, FUSION 2023
Paper in proceeding
2023

Masked Autoencoder for Self-Supervised Pre-Training on Lidar Point Clouds

Georg Hess, Johan Jaxing, Elias Svensson et al
Proceedings - 2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW 2023, p. 350-359
Paper in proceeding
2023

MmWave Mapping and SLAM for 5G and Beyond

Yu Ge, Ossi Kaltiokallio, Hyowon Kim et al
Integrated Sensing and Communications, p. 445-475
Book chapter
2023

Poisson multi-Bernoulli mixture filter with general target-generated measurements and arbitrary clutter

Angel Garcia, Yuxuan Xia, Lennart Svensson
IEEE Transactions on Signal Processing. Vol. 71, p. 1895-1906
Journal article
2023

You can have your ensemble and run it too - Deep Ensembles Spread Over Time

Isak Meding, Alexander Bodin, Adam Tonderski et al
Proceedings - 2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023, p. 4022-4031
Paper in proceeding
2023

Deep Learning for Model-Based Multiobject Tracking

Juliano Pinto, Georg Hess, William Ljungbergh et al
IEEE Transactions on Aerospace and Electronic Systems. Vol. 59 (6), p. 7363-7379
Journal article
2023

Integrated Monostatic and Bistatic mmWave Sensing

Yu Ge, Hyowon Kim, Lennart Svensson et al
Proceedings - IEEE Global Communications Conference, GLOBECOM, p. 3897-3903
Paper in proceeding
2023

Generalised Active Learning With Annotation Quality Selection

Jakob Lindqvist, Amanda Olmin, Lennart Svensson et al
IEEE International Workshop on Machine Learning for Signal Processing, MLSP. Vol. 2023-September
Paper in proceeding
2022

Tracking Multiple Spawning Targets Using Poisson Multi-Bernoulli Mixtures on Sets of Tree Trajectories

Angel F. Garcia-Fernandez, Lennart Svensson
IEEE Transactions on Signal Processing. Vol. 70, p. 1987-1999
Journal article
2022

Poisson Multi-Bernoulli Approximations for Multiple Extended Object Filtering

Yuxuan Xia, Karl Granström, Lennart Svensson et al
IEEE Transactions on Aerospace and Electronic Systems. Vol. 58 (2), p. 890-906
Journal article
2022

Object Detection as Probabilistic Set Prediction

Georg Hess, Christoffer Petersson, Lennart Svensson
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 13670 LNCS (XVIII), p. 550-566
Paper in proceeding
2022

Doppler Exploitation in Bistatic mmWave Radio SLAM

Yu Ge, Ossi Kaltiokallio, Hui Chen et al
GLOBECOM - IEEE Global Telecommunications Conference, p. 6463-6468
Paper in proceeding
2022

A Computationally Efficient EK-PMBM Filter for Bistatic mmWave Radio SLAM

Yu Ge, Ossi Kaltiokallio, Hyowon Kim et al
IEEE Journal on Selected Areas in Communications. Vol. 40 (7), p. 2179-2192
Journal article
2022

Multiple Object Trajectory Estimation Using Backward Simulation

Yuxuan Xia, Lennart Svensson, Angel F. Garcia-Fernandez et al
IEEE Transactions on Signal Processing. Vol. 70, p. 3249-3263
Journal article
2022

A comparison between PMBM Bayesian track initiation and labelled RFS adaptive birth

Angel Garcia, Yuxuan Xia, Lennart Svensson
2022 25th International Conference on Information Fusion, FUSION 2022, p. 1143-1150
Paper in proceeding
2022

PMBM-Based SLAM Filters in 5G mmWave Vehicular Networks

Hyowon Kim, Karl Granström, Lennart Svensson et al
IEEE Transactions on Vehicular Technology. Vol. 71 (8), p. 8646-8661
Journal article
2022

DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision

Erik Wallin, Lennart Svensson, Fredrik Kahl et al
Proceedings - International Conference on Pattern Recognition. Vol. 2022-August, p. 2871-2877
Paper in proceeding
2022

Experimental Validation of Single Base Station 5G mm Wave Positioning: Initial Findings

Yu Ge, Hui Chen, Fan Jiang et al
2022 25th International Conference on Information Fusion, FUSION 2022
Paper in proceeding
2022

Iterated Posterior Linearization PMB Filter for 5G SLAM

Yu Ge, Yibo Wu, Fan Jiang et al
IEEE International Conference on Communications. Vol. 2022-May, p. 877-882
Paper in proceeding
2021

Next Generation Multitarget Trackers: Random Finite Set Methods vs Transformer-based Deep Learning

Juliano Pinto, Georg Hess, William Ljungbergh et al
Proceedings of 2021 IEEE 24th International Conference on Information Fusion, FUSION 2021, p. 1059-1066
Paper in proceeding
2021

A Poisson multi-Bernoulli mixture filter for coexisting point and extended targets

Angel Garcia, Jason L. Williams, Lennart Svensson et al
IEEE Transactions on Signal Processing. Vol. 69, p. 2600-2610
Journal article
2021

Extended Object Tracking Using Sets of Trajectories with a PHD Filter

Jakob Sjudin, Martin Marcusson, Lennart Svensson et al
Proceedings of 2021 IEEE 24th International Conference on Information Fusion, FUSION 2021, p. 961-968
Paper in proceeding
2021

Learning-Based Extended Object Tracking Using Hierarchical Truncation Measurement Model With Automotive Radar

Yuxuan Xia, Pu Wang, Karl Berntorp et al
IEEE Journal on Selected Topics in Signal Processing. Vol. 15 (4), p. 1013-1029
Journal article
2021

A time-weighted metric for sets of trajectories to assess multi-object tracking algorithms

Angel Garcia, Abu Sajana Rahmathullah, Lennart Svensson
Proceedings of 2021 IEEE 24th International Conference on Information Fusion, FUSION 2021, p. 363-370
Paper in proceeding
2021

Lidar–camera semi-supervised learning for semantic segmentation

Luca Caltagirone, Mauro Bellone, Lennart Svensson et al
Sensors. Vol. 21 (14)
Journal article
2021

An Uncertainty-Aware Performance Measure for Multi-Object Tracking

Juliano Pinto, Yuxuan Xia, Lennart Svensson et al
IEEE Signal Processing Letters. Vol. 28, p. 1689-1693
Journal article
2021

ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning

Viktor Olsson, Wilhelm Tranheden, Lennart Svensson et al
Proceedings - 2021 IEEE Winter Conference on Applications of Computer Vision, WACV 2021
Paper in proceeding
2021

DACS: Domain adaptation via cross-domain mixed sampling

Wilhelm Tranheden, Viktor Olsson, Juliano Pinto et al
Proceedings - 2021 IEEE Winter Conference on Applications of Computer Vision, WACV 2021, p. 1378-1388
Paper in proceeding
2021

5G SLAM with Low-complexity Channel Estimation

Yu Ge, Fan Jiang, Meifang Zhu et al
15th European Conference on Antennas and Propagation, EuCAP 2021
Paper in proceeding
2020

Trajectory multi-Bernoulli filters for multi-target tracking based on sets of trajectories

Angel Garcia, Lennart Svensson, Jason L. Williams et al
Proceedings of 2020 23rd International Conference on Information Fusion, FUSION 2020, p. 313-320
Paper in proceeding
2020

Multiple Target Tracking Based on Sets of Trajectories

Angel F. Garcia-Fernandez, Lennart Svensson, Mark R. Morelande
IEEE Transactions on Aerospace and Electronic Systems. Vol. 56 (3), p. 1685-1707
Journal article
2020

Deep LiDAR localization using optical flow sensor-map correspondences

Anders Sunegård, Lennart Svensson, Torsten Sattler
Proceedings - 2020 International Conference on 3D Vision, 3DV 2020, p. 838-847
Paper in proceeding
2020

5G SLAM Using the Clustering and Assignment Approach with Diffuse Multipath

Yu Ge, Fuxi Wen, Hyowon Kim et al
Sensors. Vol. 20 (16), p. 1-31
Journal article
2020

Exploiting Diffuse Multipath in 5G SLAM

Yu Ge, Hyowon Kim, Fuxi Wen et al
2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings
Paper in proceeding
2020

Trajectory Poisson Multi-Bernoulli Filters

Angel Garcia, Lennart Svensson, Jason L. Williams et al
IEEE Transactions on Signal Processing. Vol. 68, p. 4933-4945
Journal article
2020

Extended Object Tracking with Automotive Radar Using Learned Structural Measurement Model

Yuxuan Xia, Pu Wang, Karl Berntorp et al
IEEE National Radar Conference - Proceedings. Vol. 2020-September
Paper in proceeding
2020

Backward simulation for sets of trajectories

Yuxuan Xia, Lennart Svensson, Angel Garcia et al
Proceedings of 2020 23rd International Conference on Information Fusion, FUSION 2020
Paper in proceeding
2020

Poisson Multi-Bernoulli Mixture Conjugate Prior for Multiple Extended Target Filtering

Karl Granström, Maryam Fatemi, Lennart Svensson
IEEE Transactions on Aerospace and Electronic Systems. Vol. 56 (1), p. 208-225
Journal article
2020

A general framework for ensemble distribution distillation

Jakob Lindqvist, Amanda Olmin, F. Lindsten et al
IEEE International Workshop on Machine Learning for Signal Processing, MLSP. Vol. 2020-September
Paper in proceeding
2020

Spatiotemporal Constraints for Sets of Trajectories with Applications to PMBM Densities

Karl Granström, Lennart Svensson, Yuxuan Xia et al
Proceedings of 2020 23rd International Conference on Information Fusion, FUSION 2020, p. 343-350
Paper in proceeding
2020

A Metric on the Space of Finite Sets of Trajectories for Evaluation of Multi-Target Tracking Algorithms

Angel Garcia, Abu Sajana Rahmathullah, Lennart Svensson
IEEE Transactions on Signal Processing. Vol. 68, p. 3917-3928
Journal article
2020

Levenberg-Marquardt and Line-Search Extended Kalman Smoothers

Simo Särkkä, Lennart Svensson
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 2020-May, p. 5875-5879
Paper in proceeding
2019

Spooky effect in optimal OSPA estimation and how GOSPA solves it

Ángel F. García-Femández, Lennart Svensson
FUSION 2019 - 22nd International Conference on Information Fusion
Paper in proceeding
2019

Learning faster to perform autonomous lane changes by constructing maneuvers from shielded semantic actions

Dapeng Liu, Mattias Brännström, Andrew Backhouse et al
2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019, p. 1838-1844
Paper in proceeding
2019

Extended target Poisson multi-Bernoulli mixture trackers based on sets of trajectories

Yuxuan Xia, Karl Granström, Lennart Svensson et al
FUSION 2019 - 22nd International Conference on Information Fusion
Paper in proceeding
2019

LIDAR-Camera Fusion for Road Detection Using Fully Convolutional Neural Networks

Luca Caltagirone, Mauro Bellone, Lennart Svensson et al
Robotics and Autonomous Systems. Vol. 111, p. 125-131
Journal article
2019

Gaussian implementation of the multi-Bernoulli mixture filter

Angel F. Garcaa-Fernandez, Yuxuan Xia, Karl Granström et al
FUSION 2019 - 22nd International Conference on Information Fusion
Paper in proceeding
2019

Bayesian Linear Regression on Deep Representations

John Moberg, Lennart Svensson, Juliano Pinto et al
Advances in Neural Information Processing Systems 32
Paper in proceeding
2019

Multiscan implementation of the trajectory poisson multi-Bernoulli mixture filter

Yuxuan Xia, Karl Granström, Lennart Svensson et al
Journal of Advances in Information Fusion. Vol. 14 (2), p. 213-235
Journal article
2019

Trajectory PHD and CPHD filters

Angel Garcia, Lennart Svensson
IEEE Transactions on Signal Processing. Vol. 67 (22), p. 5702-5714
Journal article
2018

Damped Posterior Linearization Filter

Matti Raitoharju, Lennart Svensson, Angel Froilan Garcia-Fernandez et al
IEEE Signal Processing Letters. Vol. 25 (4), p. 536-540
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 proceeding
2018

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
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
2018

Cooperative Localization Using Posterior Linearization Belief Propagation

Angel Garcia, Lennart Svensson, S. Särkkä
IEEE Transactions on Vehicular Technology. Vol. 67 (1), p. 832-836
Journal article
2018

Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation

F. J. R. Ruiz, I. Valera, Lennart Svensson et al
IEEE Transactions on Cognitive Communications and Networking. Vol. 4 (2), p. 177-191
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 proceeding
2018

Trajectory probability hypothesis density filter

Angel Garcia, Lennart Svensson
2018 21st International Conference on Information Fusion, FUSION 2018, p. 1430-1437
Paper in proceeding
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 proceeding
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

Imitation Learning for Vision-based Lane Keeping Assistance

Christopher Innocenti, Henrik Linden, Ghazaleh Panahandeh et al
IEEE International Conference on Intelligent Transportation Systems-ITSC. Vol. 2018-March
Paper in proceeding
2017

Fast LIDAR-based road detection using fully convolutional neural networks

Luca Caltagirone, Samuel Scheidegger, Lennart Svensson et al
IEEE Intelligent Vehicles Symposium, Proceedings, p. 1019-1024
Paper in proceeding
2017

LIDAR-based Driving Path Generation Using Fully Convolutional Neural Networks

Luca Caltagirone, Mauro Bellone, Lennart Svensson et al
IEEE 20th International Conference on Intelligent Transportation Systems. Vol. 2018-March, p. 1-6
Paper in proceeding
2017

Iterated Posterior Linearization Smoother

Angel Garcia, Lennart Svensson, S. Särkkä
IEEE Transactions on Automatic Control. Vol. 62 (4), p. 2056-2063
Journal article
2017

Generalized optimal sub-pattern assignment metric

Abu Sajana Rahmathullah, Angel Garcia, Lennart Svensson
20th International Conference on Information Fusion, Fusion 2017, Xian, China, 10-13 July 2017, p. 182-189
Paper in proceeding
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 proceeding
2016

Recent Results on Bayesian Cramer-Rao Bounds for Jump Markov Systems

C. Fritsche, U. Orguner, Lennart Svensson et al
2016 19th International Conference on Information Fusion (Fusion), p. 512-520
Paper in proceeding
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 proceeding
2016

Variational Bayesian Expectation Maximization for Radar Map Estimation

Malin Lundgren, Lennart Svensson, Lars Hammarstrand
IEEE Transactions on Signal Processing. Vol. 64 (6), p. 1391-1404
Journal article
2016

Labeling Uncertainty in Multitarget Tracking

E. H. Aoki, P. Mandal, Lennart Svensson et al
IEEE Transactions on Aerospace and Electronic Systems. Vol. 52 (3), p. 1006-1020
Journal article
2016

Poisson multi-Bernoulli filter for extended object tracking

Maryam Fatemi, Lennart Svensson, Karl Granström
Preprint
2016

Poisson Multi-Bernoulli Radar Mapping Using Gibbs Sampling

Maryam Fatemi, Karl Granström, Lennart Svensson et al
Preprint
2016

On the relation between Gaussian process quadratures and sigma-point methods

A. S. Arkkä, J. Hartikainen, Lennart Svensson et al
Journal of Advances in Information Fusion. Vol. 11 (1), p. 31-46
Journal article
2016

Recent results on Bayesian Cramér-Rao bounds for jump Markov systems

C. Fritsche, U. Orguner, Lennart Svensson et al
FUSION 2016 - 19th International Conference on Information Fusion, Proceedings, p. 512-520
Paper in proceeding
2016

A batch algorithm for estimating trajectories of point targets using expectation maximization

Abu Sajana Rahmathullah, Raghavendra Selvan, Lennart Svensson
IEEE Transactions on Signal Processing. Vol. 64 (18), p. 4792 - 4804
Journal article
2016

Long-range road geometry estimation using moving vehicles and road-side observations

Lars Hammarstrand, Maryam Fatemi, Angel Garcia et al
IEEE Transactions on Intelligent Transportation Systems. Vol. 17 (8), p. 2144-2158
Journal article
2015

Posterior Linearization Filter: Principles and Implementation Using Sigma Points

Angel Garcia, Lennart Svensson, M. R. Morelande et al
IEEE Transactions on Signal Processing. Vol. 63 (20), p. 5561-5573
Journal article
2015

Gaussian MAP Filtering Using Kalman Optimization

Angel Garcia, Lennart Svensson
IEEE Transactions on Automatic Control. Vol. 60 (5), p. 1336-1349
Journal article
2015

Challenges for cooperative ITS: Improving road safety through the integration of wireless communications, control, and positioning

Henk Wymeersch, Gabriel Rodrigues de Campos, Paolo Falcone et al
2015 International Conference on Computing, Networking and Communications, ICNC 2015, p. 573-578
Paper in proceeding
2015

Flipping a PhD course using movies from a MOOC

Lennart Svensson, Lars Hammarstrand, Christian Stöhr
Proceedings från 5:e Utvecklingskonferensen för Sveriges ingenjörsutbildningar, Uppsala, November 18-19, 2015. Vol. 5, p. 168-171
Paper in proceeding
2015

Adaptive unscented Gaussian likelihood approximation filter

Angel Garcia, M. R. Morelande, J. Grajal et al
Automatica. Vol. 54, p. 166-175
Journal article
2015

Designing and Evaluating a Flipped Signals and Systems Course

Lennart Svensson, Tom Adawi
Proceedings of the 14th European Conference on e-Learning – ECEL 2015, Hatfield, UK, 29-30 October 2015, p. 584-591
Paper in proceeding
2015

Infinite Factorial Dynamical Model

Isabel Valera, Fran Francisco, Lennart Svensson et al
Advances in Neural Information Processing Systems. Vol. 2015-January, p. 1666-1674
Paper in proceeding
2015

Variational Bayesian EM for SLAM

Maryam Fatemi, Lennart Svensson, Lars Hammarstrand et al
IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2015, Cancun, Mexico, 13-16 Dec. 2015, p. 501-504
Paper in proceeding
2015

A Bayesian nonparametric approach for blind multiuser channel estimation

I. Valera, F. J. R. Ruiz, Lennart Svensson et al
2015 23rd European Signal Processing Conference, EUSIPCO 2015, p. 2766-2770
Paper in proceeding
2014

Vehicle self-localization using off-the-shelf sensors and a detailed map

Malin Lundgren, Erik Stenborg, Lennart Svensson et al
IEEE Intelligent Vehicles Symposium, Proceedings, p. 522-528
Paper in proceeding
2014

Bayesian Road Estimation Using Onboard Sensors

Angel Garcia, Lars Hammarstrand, Maryam Fatemi et al
IEEE Transactions on Intelligent Transportation Systems. Vol. PP (99), p. 1-14
Journal article
2014

The Marginal Enumeration Bayesian Cramer-Rao Bound for Jump Markov Systems

C. Fritsche, U. Orguner, Lennart Svensson et al
IEEE Signal Processing Letters. Vol. 21 (4), p. 464-468
Journal article
2014

Gaussian process quadratures in nonlinear sigma-point filtering and smoothing

S. Särkkä, J. Hartikainen, Lennart Svensson et al
17th International Conference on Information Fusion, FUSION 2014; Salamanca; Spain; 7 July 2014 through 10 July 2014
Paper in proceeding
2014

Two-filter Gaussian mixture smoothing with posterior pruning

Abu Sajana Rahmathullah, Lennart Svensson, Daniel Svensson
17th International Conference on Information Fusion, FUSION 2014, Salamanca, Spain, 7-10 July 2014, p. Art. no. 6916249-
Paper in proceeding
2014

Road Geometry Estimation Using a Precise Clothoid Road Model and Observations of Moving Vehicles

Maryam Fatemi, Lars Hammarstrand, Lennart Svensson et al
17th International IEEE Conference on Intelligent Transportation Systems October 8-11, 2014, Qingdao, China, p. 238-244
Paper in proceeding
2014

Merging-based forward-backward smoothing on Gaussian mixtures

Abu Sajana Rahmathullah, Lennart Svensson, Daniel Svensson
17th International Conference on Information Fusion, FUSION 2014; Salamanca; Spain; 7 July 2014 through 10 July 2014, p. -
Paper in proceeding
2014

Iterated statistical linear regression for Bayesian updates

Angel Garcia, Lennart Svensson, M. Morelande
17th International Conference on Information Fusion, FUSION 2014; Salamanca; Spain; 7 July 2014 through 10 July 2014, p. Art. no. 6916133-
Paper in proceeding
2014

Target tracking based on estimation of sets of trajectories

Lennart Svensson, M. Morelande
17th International Conference on Information Fusion, FUSION 2014; Salamanca; Spain; 7 July 2014 through 10 July 2014 (Art. no. 6916226)
Paper in proceeding
2014

A fresh look at Bayesian Cramér-Rao bounds for discrete-time nonlinear filtering

C. Fritsche, E. Özkan, Lennart Svensson et al
17th International Conference on Information Fusion, FUSION 2014; Salamanca; Spain; 7 July 2014 through 10 July 2014, p. Art. no. 6916255-
Paper in proceeding
2013

A CPHD Filter for Tracking With Spawning Models

Malin Lundgren, Lennart Svensson, Lars Hammarstrand
IEEE Journal on Selected Topics in Signal Processing. Vol. 7 (3), p. 496-507
Journal article
2013

Smoothed probabilistic data association filter

Abu Sajana Rahmathullah, Lennart Svensson, Daniel Svensson et al
FUSION 2013, 9-12 July 2013, Istanbul, Turkey, p. 1296 - 1303
Paper in proceeding
2013

Adaptive Stopping for Fast Particle Smoothing

Ehsan Taghavi, F. Lindsten, Lennart Svensson et al
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, p. 6293-6297
Paper in proceeding
2013

Particle PHD forward filter-backward simulator for targets in close proximity

R. Georgescu, Peter Willett, Lennart Svensson
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, p. 6387-6391
Paper in proceeding
2013

A CPHD filter for tracking with spawning models - including a FISST based derivation

Malin Lundgren, Lennart Svensson, Lars Hammarstrand
Report
2012

A map based estimator for inverse complex covariance matricies

Magnus Nordenvaad, Lennart Svensson
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, p. 3369-3372
Paper in proceeding
2012

A Study of MAP Estimation Techniques for Nonlinear Filtering

Maryam Fatemi, Lennart Svensson, Lars Hammarstrand et al
15th international conference on information fusion, July 09-12 2012, Singapore, p. 1058 - 1065
Paper in proceeding
2012

Adaptive Radar Sensor Model for Tracking Structured Extended Objects

Lars Hammarstrand, Malin Lundgren, Lennart Svensson
IEEE Transactions on Aerospace and Electronic Systems. Vol. 48 (3), p. 1975 - 1995
Journal article
2012

Moment Estimation Using a Marginalized Transform

Fredrik Sandblom, Lennart Svensson
IEEE Transactions on Signal Processing. Vol. 60 (12), p. 6138-6150
Journal article
2012

Optimal posterior density approximation for bearings-only tracking

M. Morelande, Lennart Svensson, J. Hagmar et al
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, p. 3585-3588
Paper in proceeding
2012

Two linear complexity particle filters capable of maintaining target label probabilities for targets in close proximity

R. Georgescu, P. Willett, Lennart Svensson et al
15th International Conference on Information Fusion, FUSION 2012. Singapore, 7 - 12 September 2012, p. 2370-2377
Paper in proceeding
2012

Variational Bayesian Framework for Receiver Design in the Presence of Phase Noise in MIMO Systems

Rajet Krishnan, M Reza Khanzadi, Lennart Svensson et al
IEEE Wireless Communications and Networking Conference, WCNC, p. 347-352
Paper in proceeding
2012

A cardinality preserving multitarget multi-Bernoulli RFS tracker

V.C. Ravindra, Lennart Svensson, Lars Hammarstrand et al
15th International Conference on Information Fusion, FUSION 2012. Singapore, 7 - 12 September 2012, p. 832-839
Paper in proceeding
2012

A Bayesian look at the optimal track labelling problem

E. H. Aoki, Y. Boers, Lennart Svensson et al
9th IET Data Fusion and Target Tracking Conference: Algorithms and Applications, DF and TT 2012, London,16-17 May 2012. Vol. 2012 (595), p. 4-
Paper in proceeding
2012

A non-degenerate rao-blackwellised particle filter for estimating static parameters in dynamical models

F. Lindsten, T. B. Schön, Lennart Svensson
IFAC Proceedings Volumes (IFAC-PapersOnline). Vol. 16 (1), p. 1149-1154
Paper in proceeding
2012

Design and Experimental Validation of a Cooperative Driving System in the Grand Cooperative Driving Challenge

Roozbeh Kianfar, Bruno Augusto, Alireza Ebadighajari et al
IEEE Transactions on Intelligent Transportation Systems. Vol. 13 (3), p. 994-1007
Journal article
2012

The Rao-Blackwellized marginal M-SMC filter for Bayesian multi-target tracking and labelling

E. H. Aoki, Y. Boers, Lennart Svensson et al
15th International Conference on Information Fusion, FUSION 2012. Singapore, 9 - 12 July 2012, p. 90-97
Paper in proceeding
2012

Extended Object Tracking using a Radar Resolution Model

Lars Hammarstrand, Fredrik Sandblom, Lennart Svensson et al
IEEE Transactions on Aerospace and Electronic Systems. Vol. 48 (3), p. 2371 - 2386
Journal article
2011

The Set MHT

David F. Crouse, P. Willett, Lennart Svensson et al
14th International Conference on Information Fusion, Fusion 2011; Chicago, IL; 5 July 2011 through 8 July 2011
Paper in proceeding
2011

Marginalized sigma-point filtering

Fredrik Sandblom, Lennart Svensson
14th International Conference on Information Fusion, Fusion 2011; Chicago, IL; 5 July 2011 through 8 July 2011
Paper in proceeding
2011

An approximate minimum MOSPA estimator

David Crouse, P. Willett, Marco Guerriero et al
Proc. 36th international conference on acoustics, speech and signal processing, ICASSP 2011; Prague; 22 May 2011 through 27 May 2011
Paper in proceeding
2011

Aspects of MMOSPA Estimation

David, F. Crouse, P. Willett, Y. Bar-Shalom et al
Proceedings of the IEEE Conference on Decision and Control, p. 6001-6006
Paper in proceeding
2011

Set JPDA Filter for Multitarget Tracking

Lennart Svensson, Daniel Svensson, Marco Guerriero et al
IEEE Transactions on Signal Processing. Vol. 59 (10), p. 4677-4691
Journal article
2011

Interpolation based on stationary and adaptive AR(1) modeling

Eija Johansson, Marie Ström, Lennart Svensson et al
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, p. 4052-4055
Paper in proceeding
2011

A New Vehicle Motion Model for Improved Predictions and Situation Assessment

Joakim Sörstedt, Lennart Svensson, Fredrik Sandblom et al
IEEE Transactions on Intelligent Transportation Systems. Vol. 12 (4), p. 1209 - 1219
Journal article
2011

Optimal parameterization of posterior densities using homotopy

Jonas Hagmar, Lennart Svensson, Mark Morelande et al
14th International Conference on Information Fusion, Fusion 2011; Chicago, IL; 5 July 2011 through 8 July 2011
Paper in proceeding
2011

A look at Gaussian mixture reduction algorithms

David Crouse, P. Willett, Krishna Pattipati et al
14th International Conference on Information Fusion, Fusion 2011; Chicago, IL; 5 July 2011 through 8 July 2011
Paper in proceeding
2011

The Set IMMJPDA filter for multitarget tracking

Daniel Svensson, David Crouse, Lennart Svensson et al
Proceedings of SPIE: Signal Processing, Sensor Fusion, and Target Recognition XX. Conference on Signal Processing, Sensor Fusion, and Target Recognition XX Orlando, FL, APR 25-27, 2011. Vol. 8050
Other conference contribution
2011

CS versus MAP and MMOSPA for Multi-Target Radar AOAs

David Crouse, P. Willett, Lennart Svensson et al
Proc. 45th Asilomar Conference on Signals, Systems and Computers
Paper in proceeding
2011

The multitarget Set JPDA filter with target identity

Daniel Svensson, Lennart Svensson, Marco Guerriero et al
Proceedings of SPIE: Signal Processing, Sensor Fusion, and Target Recognition XX. Conference on Signal Processing, Sensor Fusion, and Target Recognition XX Orlando, FL, APR 25-27, 2011. Vol. 8050
Other conference contribution
2010

The JPDAF in practical systems: computation and snake oil

David F. Crouse, Y. Bar-Shalom, P. Willett et al
Proceedings of Signal Processing of Small Targets, SPIE. Vol. 7698
Paper in proceeding
2010

Bayesian Data Fusion for Distributed Target Detection in Sensor Networks

Marco Guerriero, Lennart Svensson, P. Willett
IEEE Transactions on Signal Processing. Vol. 58 (6), p. 3417-3421
Journal article
2010

Shooting two birds with two bullets: how to find Minimum Mean OSPA estimates

Marco Guerriero, Lennart Svensson, Daniel Svensson et al
Proceedings of the 13th International Conference on Information Fusion
Paper in proceeding
2010

A New Multiple Model Filter with Switch Time Conditions

Daniel Svensson, Lennart Svensson
IEEE Transactions on Signal Processing. Vol. 58 (1), p. 11-25
Journal article
2010

Set JPDA Filter for Multi-Target Tracking

Lennart Svensson, Daniel Svensson, Marco Guerriero
Report
2010

The Reference Prior for Complex Covariance Matrices With Efficient Implementation Strategies

Lennart Svensson, Magnus Nordenvaad
IEEE Transactions on Signal Processing. Vol. 58 (1), p. 53-66
Journal article
2010

On the Bayesian Cramér-Rao Bound for Markovian Switching Systems

Lennart Svensson
IEEE Transactions on Signal Processing. Vol. 58 (9), p. 4507-4516
Journal article
2010

Tracking Conductivity Variations in The Absence of Accurate State Evolution Models in Electrical Impedance Tomography

Parham Hashemzadeh, V Sahota, M.F. Callaghan et al
Proceedings of the 4th International Conference on Bioinformatics and Biomedical Engineering
Paper in proceeding
2009

Set JPDA Algorithm for Tracking Sonar Crossing Targets

Marco Guerriero, Lennart Svensson, Daniel Svensson et al
Proceedings of NATO Workshop on Data Fusion and Anomaly Detection for Maritime Situational Awareness
Paper in proceeding
2009

Set JPDA algorithm for tracking unordered sets of targets

Lennart Svensson, Daniel Svensson, P. Willett
Proceedings of the 12th International Conference on Information Fusion, p. 1187-1194
Paper in proceeding
2009

Performance Evaluation of MHT and GM-CPHD in a Ground Target Tracking Scenario

Daniel Svensson, Johannes Wintenby, Lennart Svensson
Proceedings of the 12th International Conference on Information Fusion, p. 300-307
Paper in proceeding
2009

Evaluating the Bayesian Cramér-Rao Bound for multiple model filtering

Lennart Svensson
Proceedings of the 12th International Conference on Information Fusion, p. 1775-1782
Paper in proceeding
2007

Tracking vehicles using radar detections

Joakim Gunnarsson, Lennart Svensson, Lars Danielsson et al
2007 IEEE Intelligent Vehicles Symposium, IV 2007; Istanbul; Turkey; 13 June 2007 through 15 June 2007, p. 296-302
Paper in proceeding
2007

Multiple Model Filtering with Switch Time Conditions

Lennart Svensson, Daniel Svensson
Proceedings of the 10th International Conference on Information Fusion
Paper in proceeding
2006

Joint driver intention classification and tracking of vehicles

Joakim Gunnarsson, Lennart Svensson, Fredrik Bengtsson et al
Proc. Nonlinear Statistical Signal Processing Workshop, NSSPW
Paper in proceeding
2006

A New motion model for tracking of vehicles

Lennart Svensson, Joakim Gunnarsson
Proc. 14th IFAC Symposium on System Identification, SYSID 2006
Paper in proceeding
2005

On Posterior Distributions for Signals in Gaussian Noise With Unknown Covariance Matrix

Lennart Svensson, Magnus Lundberg
IEEE Transactions on Signal Processing. Vol. 53 (9), p. 3554 - 3571
Journal article
2004

The Haar measure and the generation of random unitary matrices

Magnus Lundberg, Lennart Svensson
2004 Sensor Array and Multichannel Signal Processing Workshop; Barcelona; Spain; 18 July 2004 through 21 July 2004, p. 114-118
Paper in proceeding
2004

Bayesian Inference with Unknown Noise Covariance

Lennart Svensson
Doctoral thesis
2004

Estimating complex covariance matrices

Lennart Svensson, Magnus Lundberg
Proc. 38th Asilomar conference on signals, systems and computers
Paper in proceeding
2002

Dual-Band Land Mine Detection Using a Bayesian Approach

Lennart Svensson, Magnus Lundberg
IEEE, International Conference on Acoustics Speech and Signal Processing, ICASSP '02, Orlando
Paper in proceeding
2002

Analytical Expression for the Posterior Distribution of Signals in Colored Gaussian Noise

Lennart Svensson, Magnus Lundberg
Proc. of the 36th Asilomar Conf., Sig., Syst., Comput., Monterey, CA
Paper in proceeding
2001

Land Mine Detection in Rotationally Invariant Noise Fields

Lennart Svensson, Magnus Lundberg
Proc. of the 2001 IEEE Workshop on Statistical Signal Processing, p. 170-173
Paper in proceeding
2001

Infrared Detection of Buried Land Mines Based on Texture Modeling

Magnus Lundberg, Lennart Svensson, Irene Yu-Hua Gu
Spie Proceedings: Detection and Remediation Technologies for Mines and Minelike Targets VI. Vol. 4394, p. 199-206
Paper in proceeding

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Showing 11 research projects

2023–2027

Deep MultiModal Learning for Automotive Applications

Selpi Selpi Data Science and AI 1
Lennart Svensson Signal Processing
Lars Hammarstrand Signal Processing
VINNOVA

2021–2025

Deep multi-object tracking for self-driving vehicles

Lennart Svensson Signal Processing
Henk Wymeersch Communication Systems
Christoffer Petersson Algebra and geometry
Wallenberg AI, Autonomous Systems and Software Program

3 publications exist
2021–2023

6G Artificial Intelligence Radar

Jinxiang Song Communication Systems
Lennart Svensson Signal Processing
Henk Wymeersch Communication Systems
Christian Häger Communication Systems
Furkan Keskin Communication Systems
Juliano Pinto Signal Processing
Yibo Wu Communication Systems
Chalmers AI Research Centre (CHAIR)

3 publications exist
2020–2025

Semi-supervised Learning for Medical Image Analysis

Fredrik Kahl Imaging and Image Analysis
Roman Naeem Imaging and Image Analysis
David Hagerman Olzon Signal Processing
Lennart Svensson Signal Processing
MedTech West

2020–2024

Robust and precise Semi-Supervised Learning schemes

Lars Hammarstrand Signal Processing
Erik Wallin Signal Processing
Lennart Svensson Signal Processing
Fredrik Kahl Computer vision and medical image analysis
Wallenberg AI, Autonomous Systems and Software Program

1 publication exists
2019–2024

Probabilistic models and deep learning - bridging the gap

Lennart Svensson Signal Processing
Jakob Lindqvist Signal Processing
Wallenberg AI, Autonomous Systems and Software Program

3 publications exist
2018–2022

Deep multi-object tracking for ground truth trajectory estimation

Tomas McKelvey Signal Processing and Biomedical Engineering
Karl Granström Signal Processing and Biomedical Engineering
Lennart Svensson Signal Processing and Biomedical Engineering
VINNOVA

9 publications exist
2013–2017

Target tracking in complex scenarios including jamming conditions for airborne sensor systems

Tomas McKelvey Signal Processing
Lennart Svensson Signal Processing
Abu Sajana Rahmathullah Signal Processing
VINNOVA

2013–2016

Fordonspositionering och ruttprediktion

Tomas McKelvey Signal Processing
Lennart Svensson Signal Processing
Lars Hammarstrand Signal Processing
Erik Stenborg Signal Processing
VINNOVA

2012–2014

Parameter estimation based on sparse modeling

Mats Viberg Signal Processing
Ashkan Panahi Signal Processing
Lennart Svensson Signal Processing
Swedish Research Council (VR)

2011–2014

Model-based Reconstruction and Classification Based on Near-Field Microwave Measurements

Mats Viberg Signal Processing
Mikael Persson Biomedical Electromagnetics
Tomas McKelvey Signal Processing
Thomas Rylander Signal Processing
Jian Yang Antennas
Lennart Svensson Signal Processing
Swedish Research Council (VR)

There might be more projects where Lennart Svensson participates, but you have to be logged in as a Chalmers employee to see them.