Dual-band land mine detection using a Bayesian approach. - Lennart Svensson; Magnus Lundberg (ICASSP, 2002)

On posterior distributions for signals in Gaussian noise with unknown covariance matrix. - Lennart Svensson; Magnus Lundberg (IEEE Trans. Signal Process., 2005)

Multiple Model Filtering with Switch Time Conditions. - Lennart Svensson; Daniel Svensson (FUSION, 2007)

Evaluating the Bayesian Cramér-Rao Bound for multiple model filtering. - Lennart Svensson (FUSION, 2009)

Set JPDA algorithm for tracking unordered sets of targets. - Lennart Svensson; Daniel Svensson; Peter Willett 001 (FUSION, 2009)

Performance evaluation of MHT and GM-CPHD in a ground target tracking scenario. - Daniel Svensson; Johannes Wintenby; Lennart Svensson (FUSION, 2009)

Shooting two birds with two bullets: How to find Minimum Mean OSPA estimates. - Marco Guerriero; Lennart Svensson; Daniel Svensson; Peter Willett 001 (FUSION, 2010)

Bayesian data fusion for distributed target detection in sensor networks. - Marco Guerriero; Lennart Svensson; Peter Willett 001 (IEEE Trans. Signal Process., 2010)

On the Bayesian Cramér-Rao bound for Markovian switching systems. - Lennart Svensson (IEEE Trans. Signal Process., 2010)

The reference prior for complex covariance matrices with efficient implementation strategies. - Lennart Svensson; Magnus Lundberg Nordenvaad (IEEE Trans. Signal Process., 2010)

A new multiple model filter with switch time conditions. - Daniel Svensson; Lennart Svensson (IEEE Trans. Signal Process., 2010)

CS versus MAP and MMOSPA for multi-target radar AOAs. - David Frederic Crouse; Peter Willett 001; Yaakov Bar-Shalom; Lennart Svensson (ACSCC, 2011)

Aspects of MMOSPA estimation. - David Frederic Crouse; Peter Willett 001; Yaakov Bar-Shalom; Lennart Svensson (CDC/ECC, 2011)

A look at Gaussian mixture reduction algorithms. - David Frederic Crouse; Peter Willett 001; Krishna R. Pattipati; Lennart Svensson (FUSION, 2011)

The Set MHT. - David Frederic Crouse; Peter Willett 001; Lennart Svensson; Daniel Svensson; Marco Guerriero (FUSION, 2011)

Optimal parameterization of posterior densities using homotopy. - Jonas Hagmar; Mats Jirstrand; Lennart Svensson; Mark R. Morelande (FUSION, 2011)

Marginalized sigma-point filtering. - Fredrik Sandblom; Lennart Svensson (FUSION, 2011)

An approximate Minimum MOSPA estimator. - David Frederic Crouse; Peter Willett 001; Marco Guerriero; Lennart Svensson (ICASSP, 2011)

Interpolation based on stationary and adaptive AR(1) modeling. - Eija Johansson; Marie Strom; Mats Viberg; Lennart Svensson (ICASSP, 2011)

Registration Parameter Spaces for Molecular Electron Tomography Images. - Lennart Svensson; Anders Brun; Ingela Nyström; Ida-Maria Sintorn (ICIAP (1), 2011)

A New Vehicle Motion Model for Improved Predictions and Situation Assessment. - Joakim Sorstedt; Lennart Svensson; Fredrik Sandblom; Lars Hammarstrand (IEEE Trans. Intell. Transp. Syst., 2011)

Set JPDA Filter for Multitarget Tracking. - Lennart Svensson; Daniel Svensson; Marco Guerriero; Peter Willett 001 (IEEE Trans. Signal Process., 2011)

The Rao-Blackwellized marginal M-SMC filter for Bayesian multi-target tracking and labelling. - Edson Hiroshi Aoki; Yvo Boers; Lennart Svensson; Pranab Kumar Mandal; Arunabha Bagchi (FUSION, 2012)

A study of MAP estimation techniques for nonlinear filtering. - Maryam Fatemi; Lennart Svensson; Lars Hammarstrand; Mark R. Morelande (FUSION, 2012)

Two linear complexity particle filters capable of maintaining target label probabilities for targets in close proximity. - Ramona Georgescu; Peter Willett 001; Lennart Svensson; Mark R. Morelande (FUSION, 2012)

A cardinality preserving multitarget multi-Bernoulli RFS tracker. - Vishal Cholapadi Ravindra; Lennart Svensson; Lars Hammarstrand; Mark R. Morelande (FUSION, 2012)

Optimal posterior density approximation for bearings-only tracking. - Mark R. Morelande; Lennart Svensson; Jonas Hagmar; Mats Jirstrand (ICASSP, 2012)

A map based estimator for inverse complex covariance matricies. - Magnus Lundberg Nordenvaad; Lennart Svensson (ICASSP, 2012)

Rigid Template Registration in MET Images using CUDA. - Lennart Svensson; Johan Nysjö; Anders Brun; Ingela Nyström; Ida-Maria Sintorn (VISAPP (1), 2012)

Variational Bayesian framework for receiver design in the presence of phase noise in MIMO systems. - Rajet Krishnan; Mohammad Reza Khanzadi; Lennart Svensson; Thomas Eriksson; Tommy Svensson (WCNC, 2012)

Adaptive Radar Sensor Model for Tracking Structured Extended Objects. - Lars Hammarstrand; Malin Lundgren; Lennart Svensson (IEEE Trans. Aerosp. Electron. Syst., 2012)

Extended Object Tracking using a Radar Resolution Model. - Lars Hammarstrand; Lennart Svensson; Fredrik Sandblom; Joakim Sorstedt (IEEE Trans. Aerosp. Electron. Syst., 2012)

Design and Experimental Validation of a Cooperative Driving System in the Grand Cooperative Driving Challenge. - Roozbeh Kianfar; Bruno Augusto; Alireza Ebadighajari; Usman Hakeem; Josef Nilsson; Ali Raza; Reza S. Tabar; Naga VishnuKanth Irukulapati; Christer Englund; Paolo Falcone; Stylianos Papanastasiou; Lennart Svensson; et al. (IEEE Trans. Intell. Transp. Syst., 2012)

Moment Estimation Using a Marginalized Transform. - Fredrik Sandblom; Lennart Svensson (IEEE Trans. Signal Process., 2012)

Smoothed probabilistic data association filter. - Abu Sajana Rahmathullah; Lennart Svensson; Daniel Svensson; Peter Willett 001 (FUSION, 2013)

A Probabilistic Template Model for Finding Macromolecules in MET Volume Images. - Lennart Svensson; Ida-Maria Sintorn (IbPRIA, 2013)

Particle PHD forward filter-backward simulator for targets in close proximity. - Ramona Georgescu; Peter Willett 001; Lennart Svensson (ICASSP, 2013)

Adaptive stopping for fast particle smoothing. - Ehsan Taghavi; Fredrik Lindsten; Lennart Svensson; Thomas B. Schön (ICASSP, 2013)

A CPHD Filter for Tracking With Spawning Models. - Malin Lundgren; Lennart Svensson; Lars Hammarstrand (IEEE J. Sel. Top. Signal Process., 2013)

A fresh look at Bayesian Cramér-Rao bounds for discrete-time nonlinear filtering. - Carsten Fritsche; Emre Özkan; Lennart Svensson; Fredrik Gustafsson (FUSION, 2014)

Iterated statistical linear regression for Bayesian updates. - Ángel F. García-Fernández; Lennart Svensson; Mark R. Morelande (FUSION, 2014)

Two-filter Gaussian mixture smoothing with posterior pruning. - Abu Sajana Rahmathullah; Lennart Svensson; Daniel Svensson (FUSION, 2014)

Merging-based forward-backward smoothing on Gaussian mixtures. - Abu Sajana Rahmathullah; Lennart Svensson; Daniel Svensson (FUSION, 2014)

Gaussian process quadratures in nonlinear sigma-point filtering and smoothing. - Simo Särkkä; Jouni Hartikainen; Lennart Svensson; Fredrik Sandblom (FUSION, 2014)

Target tracking based on estimation of sets of trajectories. - Lennart Svensson; Mark R. Morelande (FUSION, 2014)

Road geometry estimation using a precise clothoid road model and observations of moving vehicles. - Maryam Fatemi; Lars Hammarstrand; Lennart Svensson; Ángel F. García-Fernández (ITSC, 2014)

Vehicle self-localization using off-the-shelf sensors and a detailed map. - Malin Lundgren; Erik Stenborg; Lennart Svensson; Lars Hammarstrand (Intelligent Vehicles Symposium, 2014)

The Marginal Enumeration Bayesian Cramér-Rao Bound for Jump Markov Systems. - Carsten Fritsche; Umut Orguner; Lennart Svensson; Fredrik Gustafsson (IEEE Signal Process. Lett., 2014)

Bayesian Road Estimation Using Onboard Sensors. - Ángel F. García-Fernández; Lars Hammarstrand; Maryam Fatemi; Lennart Svensson (IEEE Trans. Intell. Transp. Syst., 2014)

Variational Bayesian EM for SLAM. - Maryam Fatemi; Lennart Svensson; Lars Hammarstrand; Malin Lundgren (CAMSAP, 2015)

A Bayesian nonparametric approach for blind multiuser channel estimation. - Isabel Valera; Francisco J. R. Ruiz; Lennart Svensson; Fernando Pérez-Cruz (EUSIPCO, 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; Lennart Svensson; Erik G. Ström (ICNC, 2015)

Infinite Factorial Dynamical Model. - Isabel Valera; Francisco J. R. Ruiz; Lennart Svensson; Fernando Pérez-Cruz (NIPS, 2015)

Adaptive unscented Gaussian likelihood approximation filter. - Ángel F. García-Fernández; Mark R. Morelande; Jesús Grajal; Lennart Svensson (Autom., 2015)

Gaussian MAP Filtering Using Kalman Optimization. - Ángel F. García-Fernández; Lennart Svensson (IEEE Trans. Autom. Control., 2015)

Posterior Linearization Filter: Principles and Implementation Using Sigma Points. - Ángel F. García-Fernández; Lennart Svensson; Mark R. Morelande; Simo Särkkä (IEEE Trans. Signal Process., 2015)

Recent results on Bayesian Cramér-Rao bounds for jump Markov systems. - Carsten Fritsche; Umut Orguner; Lennart Svensson; Fredrik Gustafsson (FUSION, 2016)

Gamma Gaussian inverse-Wishart Poisson multi-Bernoulli filter for extended target tracking. - Karl Granström; Maryam Fatemi; Lennart Svensson (FUSION, 2016)

Poisson multi-Bernoulli conjugate prior for multiple extended object estimation. - Karl Granström; Maryam Fatemi; Lennart Svensson (CoRR, 2016)

Labeling uncertainty in multitarget tracking. - Edson Hiroshi Aoki; Pranab Kumar Mandal; Lennart Svensson; Yvo Boers; Arunabha Bagchi (IEEE Trans. Aerosp. Electron. Syst., 2016)

Long-Range Road Geometry Estimation Using Moving Vehicles and Roadside Observations. - Lars Hammarstrand; Maryam Fatemi; Ángel F. García-Fernández; Lennart Svensson (IEEE Trans. Intell. Transp. Syst., 2016)

Variational Bayesian Expectation Maximization for Radar Map Estimation. - Malin Lundgren; Lennart Svensson; Lars Hammarstrand (IEEE Trans. Signal Process., 2016)

A Batch Algorithm for Estimating Trajectories of Point Targets Using Expectation Maximization. - Abu Sajana Rahmathullah; Raghavendra Selvan; Lennart Svensson (IEEE Trans. Signal Process., 2016)

Generalized optimal sub-pattern assignment metric. - Abu Sajana Rahmathullah; Ángel F. García-Fernández; Lennart Svensson (FUSION, 2017)

Performance evaluation of multi-bernoulli conjugate priors for multi-target filtering. - Yuxuan Xia; Karl Granström; Lennart Svensson; Ángel F. García-Fernández (FUSION, 2017)

LIDAR-based driving path generation using fully convolutional neural networks. - Luca Caltagirone; Mauro Bellone; Lennart Svensson; Mattias Wahde (ITSC, 2017)

Imitation learning for vision-based lane keeping assistance. - Christopher Innocenti; Henrik Lindén; Ghazaleh Panahandeh; Lennart Svensson; Nasser Mohammadiha (ITSC, 2017)

Fast LIDAR-based road detection using fully convolutional neural networks. - Luca Caltagirone; Samuel Scheidegger; Lennart Svensson; Mattias Wahde (Intelligent Vehicles Symposium, 2017)

Pedestrian tracking using Velodyne data - Stochastic optimization for extended object tracking. - Karl Granström; Stephan Renter; Maryam Fatemi; Lennart Svensson (Intelligent Vehicles Symposium, 2017)

ProViz: a tool for explorative 3-D visualization and template matching in electron tomograms. - Lennart Svensson; Stina Svensson; Ingela Nyström; Fredrik Nysjö; Johan Nysjö; Aurelie Laloeuf; Lianne den Hollander; Anders Brun; Sergej Masich; Linda Sandblad; Musa Sani; Ida-Maria Sintorn (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2017)

Simultaneous Perception and Path Generation Using Fully Convolutional Neural Networks. - Luca Caltagirone; Mauro Bellone; Lennart Svensson; Mattias Wahde (CoRR, 2017)

Iterated Posterior Linearization Smoother. - Ángel F. García-Fernández; Lennart Svensson; Simo Särkkä (IEEE Trans. Autom. Control., 2017)

Poisson Multi-Bernoulli Mapping Using Gibbs Sampling. - Maryam Fatemi; Karl Granström; Lennart Svensson; Francisco J. R. Ruiz; Lars Hammarstrand (IEEE Trans. Signal Process., 2017)

Trajectory probability hypothesis density filter. - Ángel F. García-Fernández; Lennart Svensson (FUSION, 2018)

Poisson Multi-Bernoulli Mixture Trackers: Continuity Through Random Finite Sets of Trajectories. - Karl Granström; Lennart Svensson; Yuxuan Xia; Jason L. Williams; Ángel F. García-Fernández (FUSION, 2018)

An Implementation of the Poisson Multi-Bernoulli Mixture Trajectory Filter via Dual Decomposition. - Yuxuan Xia; Karl Granström; Lennart Svensson; Ángel F. García-Fernández (FUSION, 2018)

Damped Posterior Linearization Filter. - Matti Raitoharju; Lennart Svensson; Ángel F. García-Fernández; Robert Piché (IEEE Signal Process. Lett., 2018)

Poisson Multi-Bernoulli Mixture Filter: Direct Derivation and Implementation. - Ángel F. García-Fernández; Jason L. Williams; Karl Granström; Lennart Svensson (IEEE Trans. Aerosp. Electron. Syst., 2018)

Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation. - Francisco J. R. Ruiz; Isabel Valera; Lennart Svensson; Fernando Pérez-Cruz (IEEE Trans. Cogn. Commun. Netw., 2018)

Likelihood-Based Data Association for Extended Object Tracking Using Sampling Methods. - Karl Granström; Lennart Svensson; Stephan Reuter; Yuxuan Xia; Maryam Fatemi (IEEE Trans. Intell. Veh., 2018)

Cooperative Localization Using Posterior Linearization Belief Propagation. - Ángel F. García-Fernández; Lennart Svensson; Simo Särkkä (IEEE Trans. Veh. Technol., 2018)

Spooky effect in optimal OSPA estimation and how GOSPA solves it. - Ángel F. García-Fernández; Lennart Svensson (FUSION, 2019)

Gaussian implementation of the multi-Bernoulli mixture filter. - Ángel F. García-Fernández; Yuxuan Xia; Karl Granström; Lennart Svensson; Jason L. Williams (FUSION, 2019)

Extended target Poisson multi-Bernoulli mixture trackers based on sets of trajectories. - Yuxuan Xia; Karl Granström; Lennart Svensson; Ángel F. García-Fernández; Jason L. Williams (FUSION, 2019)

Learning faster to perform autonomous lane changes by constructing maneuvers from shielded semantic actions. - Dapeng Liu; Mattias Brännström; Andrew Backhouse; Lennart Svensson (ITSC, 2019)

Lidar-Camera Co-Training for Semi-Supervised Road Detection. - Luca Caltagirone; Lennart Svensson; Mattias Wahde; Martin Sanfridson (CoRR, 2019)

Bayesian Linear Regression on Deep Representations. - John Moberg; Lennart Svensson; Juliano Pinto; Henk Wymeersch (CoRR, 2019)

LIDAR-camera fusion for road detection using fully convolutional neural networks. - Luca Caltagirone; Mauro Bellone; Lennart Svensson; Mattias Wahde (Robotics Auton. Syst., 2019)

Trajectory PHD and CPHD Filters. - Ángel F. García-Fernández; Lennart Svensson (IEEE Trans. Signal Process., 2019)

Deep LiDAR localization using optical flow sensor-map correspondences. - Anders Sunegård; Lennart Svensson; Torsten Sattler (3DV, 2020)

Trajectory multi-Bernoulli filters for multi-target tracking based on sets of trajectories. - Ángel F. García-Fernández; Lennart Svensson; Jason L. Williams; Yuxuan Xia; Karl Granström (FUSION, 2020)

Spatiotemporal Constraints for Sets of Trajectories with Applications to PMBM Densities. - Karl Granström; Lennart Svensson; Yuxuan Xia; Ángel F. García-Fernández; Jason L. Williams (FUSION, 2020)

Backward Simulation for Sets of Trajectories. - Yuxuan Xia; Lennart Svensson; Ángel F. García-Fernández; Karl Granström; Jason L. Williams (FUSION, 2020)

Exploiting Diffuse Multipath in 5G SLAM. - Yu Ge 002; Hyowon Kim; Fuxi Wen; Lennart Svensson; Sunwoo Kim 001; Henk Wymeersch (GLOBECOM, 2020)

Levenberg-Marquardt and Line-Search Extended Kalman Smoothers. - Simo Särkkä; Lennart Svensson (ICASSP, 2020)

A General Framework for Ensemble Distribution Distillation. - Jakob Lindqvist; Amanda Olmin; Fredrik Lindsten; Lennart Svensson (MLSP, 2020)

5G SLAM Using the Clustering and Assignment Approach with Diffuse Multipath. - Yu Ge 002; Fuxi Wen; Hyowon Kim; Meifang Zhu; Fan Jiang 003; Sunwoo Kim 001; Lennart Svensson; Henk Wymeersch (Sensors, 2020)

Multiple Target Tracking Based on Sets of Trajectories. - Ángel F. García-Fernández; Lennart Svensson; Mark R. Morelande (IEEE Trans. Aerosp. Electron. Syst., 2020)

Poisson Multi-Bernoulli Mixture Conjugate Prior for Multiple Extended Target Filtering. - Karl Granström; Maryam Fatemi; Lennart Svensson (IEEE Trans. Aerosp. Electron. Syst., 2020)

A Metric on the Space of Finite Sets of Trajectories for Evaluation of Multi-Target Tracking Algorithms. - Ángel F. García-Fernández; Abu Sajana Rahmathullah; Lennart Svensson (IEEE Trans. Signal Process., 2020)

Trajectory Poisson Multi-Bernoulli Filters. - Ángel F. García-Fernández; Lennart Svensson; Jason L. Williams; Yuxuan Xia; Karl Granström (IEEE Trans. Signal Process., 2020)

A time-weighted metric for sets of trajectories to assess multi-object tracking algorithms. - Ángel F. García-Fernández; Abu Sajana Rahmathullah; Lennart Svensson (FUSION, 2021)

Next Generation Multitarget Trackers: Random Finite Set Methods vs Transformer-based Deep Learning. - Juliano Pinto; Georg Hess; William Ljungbergh; Yuxuan Xia; Lennart Svensson; Henk Wymeersch (FUSION, 2021)

Extended Object Tracking Using Sets Of Trajectories with a PHD Filter. - Jakob Sjudin; Martin Marcusson; Lennart Svensson; Lars Hammarstrand (FUSION, 2021)

ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning. - Viktor Olsson; Wilhelm Tranheden; Juliano Pinto; Lennart Svensson (WACV, 2021)

DACS: Domain Adaptation via Cross-domain Mixed Sampling. - Wilhelm Tranheden; Viktor Olsson; Juliano Pinto; Lennart Svensson (WACV, 2021)

Learning-Based Extended Object Tracking Using Hierarchical Truncation Measurement Model With Automotive Radar. - Yuxuan Xia; Pu Wang 004; Karl Berntorp; Lennart Svensson; Karl Granström; Hassan Mansour; Petros Boufounos; Philip V. Orlik (IEEE J. Sel. Top. Signal Process., 2021)

Lidar-Camera Semi-Supervised Learning for Semantic Segmentation. - Luca Caltagirone; Mauro Bellone; Lennart Svensson; Mattias Wahde; Raivo Sell (Sensors, 2021)

An Uncertainty-Aware Performance Measure for Multi-Object Tracking. - Juliano Pinto; Yuxuan Xia; Lennart Svensson; Henk Wymeersch (IEEE Signal Process. Lett., 2021)

A Poisson Multi-Bernoulli Mixture Filter for Coexisting Point and Extended Targets. - Ángel F. García-Fernández; Jason L. Williams; Lennart Svensson; Yuxuan Xia (IEEE Trans. Signal Process., 2021)

Object Detection as Probabilistic Set Prediction. - Georg Hess; Christoffer Petersson; Lennart Svensson (ECCV (10), 2022)

A comparison between PMBM Bayesian track initiation and labelled RFS adaptive birth. - Ángel F. García-Fernández; Yuxuan Xia; Lennart Svensson (FUSION, 2022)

Experimental Validation of Single Base Station 5G mm Wave Positioning: Initial Findings. - Yu Ge 002; Hui Chen 014; Fan Jiang 003; Meifang Zhu; Hedieh Khosravi; Simon Lindberg; Hans Herbertsson; Olof Eriksson; Oliver Brunnegård; Bengt-Erik Olsson; Peter Hammarberg; Fredrik Tufvesson; et al. (FUSION, 2022)

Doppler Exploitation in Bistatic mmWave Radio SLAM. - Yu Ge 002; Ossi Kaltiokallio; Hui Chen 014; Fan Jiang 003; Jukka Talvitie; Mikko Valkama; Lennart Svensson; Henk Wymeersch (GLOBECOM, 2022)

Iterated Posterior Linearization PMB Filter for 5G SLAM. - Yu Ge 002; Yibo Wu; Fan Jiang 003; Ossi Kaltiokallio; Jukka Talvitie; Mikko Valkama; Lennart Svensson; Henk Wymeersch (ICC, 2022)

Active Learning with Weak Supervision for Gaussian Processes. - Amanda Olmin; Jakob Lindqvist; Lennart Svensson; Fredrik Lindsten (ICONIP (5), 2022)

DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision. - Erik Wallin; Lennart Svensson; Fredrik Kahl; Lars Hammarstrand (ICPR, 2022)

Can Deep Learning be Applied to Model-Based Multi-Object Tracking? - Juliano Pinto; Georg Hess; William Ljungbergh; Yuxuan Xia; Henk Wymeersch; Lennart Svensson (CoRR, 2022)

Active Learning with Weak Labels for Gaussian Processes. - Amanda Olmin; Jakob Lindqvist; Lennart Svensson; Fredrik Lindsten (CoRR, 2022)

Masked Autoencoders for Self-Supervised Learning on Automotive Point Clouds. - Georg Hess; Johan Jaxing; Elias Svensson; David Hagerman; Christoffer Petersson; Lennart Svensson (CoRR, 2022)

A Computationally Efficient EK-PMBM Filter for Bistatic mmWave Radio SLAM. - Yu Ge 002; Ossi Kaltiokallio; Hyowon Kim; Fan Jiang 003; Jukka Talvitie; Mikko Valkama; Lennart Svensson; Sunwoo Kim 001; Henk Wymeersch (IEEE J. Sel. Areas Commun., 2022)

Poisson Multi-Bernoulli Approximations for Multiple Extended Object Filtering. - Yuxuan Xia; Karl Granström; Lennart Svensson; Maryam Fatemi; Ángel F. García-Fernández; Jason L. Williams (IEEE Trans. Aerosp. Electron. Syst., 2022)

Tracking Multiple Spawning Targets Using Poisson Multi-Bernoulli Mixtures on Sets of Tree Trajectories. - Ángel F. García-Fernández; Lennart Svensson (IEEE Trans. Signal Process., 2022)

Multiple Object Trajectory Estimation Using Backward Simulation. - Yuxuan Xia; Lennart Svensson; Ángel F. García-Fernández; Jason L. Williams; Daniel Svensson; Karl Granström (IEEE Trans. Signal Process., 2022)

PMBM-Based SLAM Filters in 5G mmWave Vehicular Networks. - Hyowon Kim; Karl Granström; Lennart Svensson; Sunwoo Kim 001; Henk Wymeersch (IEEE Trans. Veh. Technol., 2022)

An Efficient Implementation of the Extended Object Trajectory PMB Filter Using Blocked Gibbs Sampling. - Yuxuan Xia; Ángel F. García-Fernández; Lennart Svensson (FUSION, 2023)

Integrated Monostatic and Bistatic mmWave Sensing. - Yu Ge 002; Hyowon Kim; Lennart Svensson; Henk Wymeersch; Sumei Sun (GLOBECOM, 2023)

Deep Fusion of Multi-Object Densities Using Transformer. - Lechi Li; Chen Dai; Yuxuan Xia; Lennart Svensson (ICASSP, 2023)

You can have your ensemble and run it too - Deep Ensembles Spread Over Time. - Isak Meding; Alexander Bodin; Adam Tonderski; Joakim Johnander; Christoffer Petersson; Lennart Svensson (ICCV (Workshops), 2023)

Generalised Active Learning With Annotation Quality Selection. - Jakob Lindqvist; Amanda Olmin; Lennart Svensson; Fredrik Lindsten (MLSP, 2023)

Masked Autoencoder for Self-Supervised Pre-training on Lidar Point Clouds. - Georg Hess; Johan Jaxing; Elias Svensson; David Hagerman; Christoffer Petersson; Lennart Svensson (WACV (Workshops), 2023)

Set-Type Belief Propagation with Applications to Mapping, MTT, SLAM, and SLAT. - Hyowon Kim; Ángel F. García-Fernández; Yu Ge 002; Yuxuan Xia; Lennart Svensson; Henk Wymeersch (CoRR, 2023)

MCMC-Correction of Score-Based Diffusion Models for Model Composition. - Anders Sjöberg; Jakob Lindqvist; Magnus Önnheim; Mats Jirstrand; Lennart Svensson (CoRR, 2023)

Transformer-Based Multi-Object Smoothing with Decoupled Data Association and Smoothing. - Juliano Pinto; Georg Hess; Yuxuan Xia; Henk Wymeersch; Lennart Svensson (CoRR, 2023)

Poisson Multi-Bernoulli Mixture Filter With General Target-Generated Measurements and Arbitrary Clutter. - Ángel F. García-Fernández; Yuxuan Xia; Lennart Svensson (IEEE Trans. Signal Process., 2023)

Deep Learning for Model-Based Multiobject Tracking. - Juliano Pinto; Georg Hess; William Ljungbergh; Yuxuan Xia; Henk Wymeersch; Lennart Svensson (IEEE Trans. Aerosp. Electron. Syst., 2023)

Trajectory PMB Filters for Extended Object Tracking Using Belief Propagation. - Yuxuan Xia; Ángel F. García-Fernández; Florian Meyer; Jason L. Williams; Karl Granström; Lennart Svensson (IEEE Trans. Aerosp. Electron. Syst., 2023)

On the connection between Noise-Contrastive Estimation and Contrastive Divergence. - Amanda Olmin; Jakob Lindqvist; Lennart Svensson; Fredrik Lindsten (AISTATS, 2024)

Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap. - Carl Lindström; Georg Hess; Adam Lilja; Maryam Fatemi; Lars Hammarstrand; Christoffer Petersson; Lennart Svensson (CVPR Workshops, 2024)

NeuRAD: Neural Rendering for Autonomous Driving. - Adam Tonderski; Carl Lindström; Georg Hess; William Ljungbergh; Lennart Svensson; Christoffer Petersson (CVPR, 2024)

ProSub: Probabilistic Open-Set Semi-supervised Learning with Subspace-Based Out-of-Distribution Detection. - Erik Wallin; Lennart Svensson; Fredrik Kahl; Lars Hammarstrand (ECCV (61), 2024)

ECAP: Extensive Cut-and-Paste Augmentation for Unsupervised Domain Adaptive Semantic Segmentation. - Erik Brorsson; Knut Åkesson; Lennart Svensson; Kristofer Bengtsson (ICIP, 2024)

SwInception - Local Attention Meets Convolutions. - David Hagerman; Roman Naeem; Jakob Lindqvist; Carl Lindström; Fredrik Kahl; Lennart Svensson (ICPRAI (1), 2024)

Hybrid PHD-PMB Trajectory Smoothing Using Backward Simulation. - Yuxuan Xia; Ángel F. García-Fernández; Lennart Svensson (MFI, 2024)

Trexplorer: Recurrent DETR for Topologically Correct Tree Centerline Tracking. - Roman Naeem; David Hagerman; Lennart Svensson; Fredrik Kahl (MICCAI (11), 2024)

LidarCLIP or: How I Learned to Talk to Point Clouds. - Georg Hess; Adam Tonderski; Christoffer Petersson; Kalle Åström; Lennart Svensson (WACV, 2024)

Improving Open-Set Semi-Supervised Learning with Self-Supervision. - Erik Wallin; Lennart Svensson; Fredrik Kahl; Lars Hammarstrand (WACV, 2024)

MVUDA: Unsupervised Domain Adaptation for Multi-view Pedestrian Detection. - Erik Brorsson; Lennart Svensson; Kristofer Bengtsson; Knut Åkesson (CoRR, 2024)

TGOSPA Metric Parameters Selection and Evaluation for Visual Multi-object Tracking. - Jan Krejcí; Oliver Kost; Ondrej Straka; Yuxuan Xia; Lennart Svensson; Ángel F. García-Fernández (CoRR, 2024)

Graph GOSPA Metric: A Metric to Measure the Discrepancy Between Graphs of Different Sizes. - Jinhao Gu; Ángel F. García-Fernández; Robert E. Firth; Lennart Svensson (IEEE Trans. Signal Process., 2024)

Set-Type Belief Propagation With Applications to Poisson Multi-Bernoulli SLAM. - Hyowon Kim; Ángel F. García-Fernández; Yu Ge 002; Yuxuan Xia; Lennart Svensson; Henk Wymeersch (IEEE Trans. Signal Process., 2024)

Experimental Validation of Single BS 5G mmWave Positioning and Mapping for Intelligent Transport. - Yu Ge 002; Hedieh Khosravi; Fan Jiang 003; Hui Chen 014; Simon Lindberg; Peter Hammarberg; Hyowon Kim; Oliver Brunnegård; Olof Eriksson; Bengt-Erik Olsson; Fredrik Tufvesson; Lennart Svensson; et al. (IEEE Trans. Veh. Technol., 2024)

Markov Chain Monte Carlo Multiscan Data Association for Sets of Trajectories. - Yuxuan Xia; Ángel F. García-Fernández; Lennart Svensson (IEEE Trans. Aerosp. Electron. Syst., 2024)

Optimizing Gene-Based Testing for Antibiotic Resistance Prediction. - David Hagerman; Anna Johnning; Roman Naeem; Fredrik Kahl; Erik Kristiansson; Lennart Svensson (AAAI, 2025)

SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving. - Georg Hess; Carl Lindström; Maryam Fatemi; Christoffer Petersson; Lennart Svensson (CVPR, 2025)

NeuRadar: Neural Radiance Fields for Automotive Radar Point Clouds. - Mahan Rafidashti; Ji Lan; Maryam Fatemi; Junsheng Fu; Lars Hammarstrand; Lennart Svensson (CVPR Workshops, 2025)

Batch SLAM With PMBM Data Association Sampling and Graph-Based Optimization. - Yu Ge 002; Ossi Kaltiokallio; Yuxuan Xia; Ángel F. García-Fernández; Hyowon Kim; Jukka Talvitie; Mikko Valkama; Henk Wymeersch; Lennart Svensson (IEEE Trans. Signal Process., 2025)

Poisson Multi-Bernoulli Mixtures for Sets of Trajectories. - Karl Granström; Lennart Svensson; Yuxuan Xia; Jason Williams 002; Ángel F. García-Fernández (IEEE Trans. Aerosp. Electron. Syst., 2025)

Probabilistic Trajectory GOSPA: A Metric for Uncertainty-Aware Multi-Object Tracking Performance Evaluation. - Yuxuan Xia; Ángel F. García-Fernández; Johan Karlsson; Yu Ge 002; Lennart Svensson; Ting Yuan (CoRR, 2025)

A family of graph GOSPA metrics for graphs with different sizes. - Jinhao Gu; Ángel F. García-Fernández; Robert E. Firth; Lennart Svensson (CoRR, 2025)

Trexplorer Super: Topologically Correct Centerline Tree Tracking of Tubular Objects in CT Volumes. - Roman Naeem; David Hagerman; Jennifer Alvén; Lennart Svensson; Fredrik Kahl (CoRR, 2025)

GOSPA and T-GOSPA quasi-metrics for evaluation of multi-object tracking algorithms. - Ángel F. García-Fernández; Jinhao Gu; Lennart Svensson; Yuxuan Xia; Jan Krejcí; Oliver Kost; Ondrej Straka (CoRR, 2025)

Model-based Multi-object Visual Tracking: Identification and Standard Model Limitations. - Jan Krejcí; Oliver Kost; Yuxuan Xia; Lennart Svensson; Ondrej Straka (CoRR, 2025)

Future-Oriented Navigation: Dynamic Obstacle Avoidance With One-Shot Energy-Based Multimodal Motion Prediction. - Ze Zhang; Georg Hess; Junjie Hu; Emmanuel Dean; Lennart Svensson; Knut Åkesson (IEEE Robotics Autom. Lett., 2025)