Lennart Svensson

Orcid: 0000-0003-0206-9186

According to our database1, Lennart Svensson authored at least 149 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Set-Type Belief Propagation With Applications to Poisson Multi-Bernoulli SLAM.
IEEE Trans. Signal Process., 2024

Graph GOSPA Metric: A Metric to Measure the Discrepancy Between Graphs of Different Sizes.
IEEE Trans. Signal Process., 2024

ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection.
CoRR, 2024

ECAP: Extensive Cut-and-Paste Augmentation for Unsupervised Domain Adaptive Semantic Segmentation.
CoRR, 2024

Improving Open-Set Semi-Supervised Learning with Self-Supervision.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

LidarCLIP or: How I Learned to Talk to Point Clouds.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Trexplorer: Recurrent DETR for Topologically Correct Tree Centerline Tracking.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Hybrid PHD-PMB Trajectory Smoothing Using Backward Simulation.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2024

NeuRAD: Neural Rendering for Autonomous Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

On the connection between Noise-Contrastive Estimation and Contrastive Divergence.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Trajectory PMB Filters for Extended Object Tracking Using Belief Propagation.
IEEE Trans. Aerosp. Electron. Syst., December, 2023

Deep Learning for Model-Based Multiobject Tracking.
IEEE Trans. Aerosp. Electron. Syst., December, 2023

Poisson Multi-Bernoulli Mixture Filter With General Target-Generated Measurements and Arbitrary Clutter.
IEEE Trans. Signal Process., 2023

Transformer-Based Multi-Object Smoothing with Decoupled Data Association and Smoothing.
CoRR, 2023

MCMC-Correction of Score-Based Diffusion Models for Model Composition.
CoRR, 2023

Set-Type Belief Propagation with Applications to Mapping, MTT, SLAM, and SLAT.
CoRR, 2023

Masked Autoencoder for Self-Supervised Pre-training on Lidar Point Clouds.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

Generalised Active Learning With Annotation Quality Selection.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

You can have your ensemble and run it too - Deep Ensembles Spread Over Time.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Deep Fusion of Multi-Object Densities Using Transformer.
Proceedings of the IEEE International Conference on Acoustics, 2023

Integrated Monostatic and Bistatic mmWave Sensing.
Proceedings of the IEEE Global Communications Conference, 2023

An Efficient Implementation of the Extended Object Trajectory PMB Filter Using Blocked Gibbs Sampling.
Proceedings of the 26th International Conference on Information Fusion, 2023

2022
PMBM-Based SLAM Filters in 5G mmWave Vehicular Networks.
IEEE Trans. Veh. Technol., 2022

Multiple Object Trajectory Estimation Using Backward Simulation.
IEEE Trans. Signal Process., 2022

Tracking Multiple Spawning Targets Using Poisson Multi-Bernoulli Mixtures on Sets of Tree Trajectories.
IEEE Trans. Signal Process., 2022

Poisson Multi-Bernoulli Approximations for Multiple Extended Object Filtering.
IEEE Trans. Aerosp. Electron. Syst., 2022

A Computationally Efficient EK-PMBM Filter for Bistatic mmWave Radio SLAM.
IEEE J. Sel. Areas Commun., 2022

Masked Autoencoders for Self-Supervised Learning on Automotive Point Clouds.
CoRR, 2022

Active Learning with Weak Labels for Gaussian Processes.
CoRR, 2022

Can Deep Learning be Applied to Model-Based Multi-Object Tracking?
CoRR, 2022

DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Active Learning with Weak Supervision for Gaussian Processes.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Iterated Posterior Linearization PMB Filter for 5G SLAM.
Proceedings of the IEEE International Conference on Communications, 2022

Doppler Exploitation in Bistatic mmWave Radio SLAM.
Proceedings of the IEEE Global Communications Conference, 2022

Experimental Validation of Single Base Station 5G mm Wave Positioning: Initial Findings.
Proceedings of the 25th International Conference on Information Fusion, 2022

A comparison between PMBM Bayesian track initiation and labelled RFS adaptive birth.
Proceedings of the 25th International Conference on Information Fusion, 2022

Object Detection as Probabilistic Set Prediction.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
A Poisson Multi-Bernoulli Mixture Filter for Coexisting Point and Extended Targets.
IEEE Trans. Signal Process., 2021

An Uncertainty-Aware Performance Measure for Multi-Object Tracking.
IEEE Signal Process. Lett., 2021

Lidar-Camera Semi-Supervised Learning for Semantic Segmentation.
Sensors, 2021

Learning-Based Extended Object Tracking Using Hierarchical Truncation Measurement Model With Automotive Radar.
IEEE J. Sel. Top. Signal Process., 2021

DACS: Domain Adaptation via Cross-domain Mixed Sampling.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Extended Object Tracking Using Sets Of Trajectories with a PHD Filter.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

Next Generation Multitarget Trackers: Random Finite Set Methods vs Transformer-based Deep Learning.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

A time-weighted metric for sets of trajectories to assess multi-object tracking algorithms.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

2020
Trajectory Poisson Multi-Bernoulli Filters.
IEEE Trans. Signal Process., 2020

A Metric on the Space of Finite Sets of Trajectories for Evaluation of Multi-Target Tracking Algorithms.
IEEE Trans. Signal Process., 2020

Poisson Multi-Bernoulli Mixture Conjugate Prior for Multiple Extended Target Filtering.
IEEE Trans. Aerosp. Electron. Syst., 2020

Multiple Target Tracking Based on Sets of Trajectories.
IEEE Trans. Aerosp. Electron. Syst., 2020

5G SLAM Using the Clustering and Assignment Approach with Diffuse Multipath.
Sensors, 2020

A General Framework for Ensemble Distribution Distillation.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Levenberg-Marquardt and Line-Search Extended Kalman Smoothers.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Exploiting Diffuse Multipath in 5G SLAM.
Proceedings of the IEEE Global Communications Conference, 2020

Backward Simulation for Sets of Trajectories.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

Spatiotemporal Constraints for Sets of Trajectories with Applications to PMBM Densities.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

Trajectory multi-Bernoulli filters for multi-target tracking based on sets of trajectories.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

Deep LiDAR localization using optical flow sensor-map correspondences.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
Trajectory PHD and CPHD Filters.
IEEE Trans. Signal Process., 2019

LIDAR-camera fusion for road detection using fully convolutional neural networks.
Robotics Auton. Syst., 2019

Poisson Multi-Bernoulli Mixtures for Sets of Trajectories.
CoRR, 2019

Bayesian Linear Regression on Deep Representations.
CoRR, 2019

Lidar-Camera Co-Training for Semi-Supervised Road Detection.
CoRR, 2019

Learning faster to perform autonomous lane changes by constructing maneuvers from shielded semantic actions.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Extended target Poisson multi-Bernoulli mixture trackers based on sets of trajectories.
Proceedings of the 22th International Conference on Information Fusion, 2019

Gaussian implementation of the multi-Bernoulli mixture filter.
Proceedings of the 22th International Conference on Information Fusion, 2019

Spooky effect in optimal OSPA estimation and how GOSPA solves it.
Proceedings of the 22th International Conference on Information Fusion, 2019

2018
Cooperative Localization Using Posterior Linearization Belief Propagation.
IEEE Trans. Veh. Technol., 2018

Likelihood-Based Data Association for Extended Object Tracking Using Sampling Methods.
IEEE Trans. Intell. Veh., 2018

Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation.
IEEE Trans. Cogn. Commun. Netw., 2018

Poisson Multi-Bernoulli Mixture Filter: Direct Derivation and Implementation.
IEEE Trans. Aerosp. Electron. Syst., 2018

Damped Posterior Linearization Filter.
IEEE Signal Process. Lett., 2018

An Implementation of the Poisson Multi-Bernoulli Mixture Trajectory Filter via Dual Decomposition.
Proceedings of the 21st International Conference on Information Fusion, 2018

Poisson Multi-Bernoulli Mixture Trackers: Continuity Through Random Finite Sets of Trajectories.
Proceedings of the 21st International Conference on Information Fusion, 2018

Trajectory probability hypothesis density filter.
Proceedings of the 21st International Conference on Information Fusion, 2018

2017
Poisson Multi-Bernoulli Mapping Using Gibbs Sampling.
IEEE Trans. Signal Process., 2017

Iterated Posterior Linearization Smoother.
IEEE Trans. Autom. Control., 2017

Simultaneous Perception and Path Generation Using Fully Convolutional Neural Networks.
CoRR, 2017

ProViz: a tool for explorative 3-D visualization and template matching in electron tomograms.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2017

Pedestrian tracking using Velodyne data - Stochastic optimization for extended object tracking.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Fast LIDAR-based road detection using fully convolutional neural networks.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Imitation learning for vision-based lane keeping assistance.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

LIDAR-based driving path generation using fully convolutional neural networks.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Performance evaluation of multi-bernoulli conjugate priors for multi-target filtering.
Proceedings of the 20th International Conference on Information Fusion, 2017

Generalized optimal sub-pattern assignment metric.
Proceedings of the 20th International Conference on Information Fusion, 2017

2016
A Batch Algorithm for Estimating Trajectories of Point Targets Using Expectation Maximization.
IEEE Trans. Signal Process., 2016

Variational Bayesian Expectation Maximization for Radar Map Estimation.
IEEE Trans. Signal Process., 2016

Long-Range Road Geometry Estimation Using Moving Vehicles and Roadside Observations.
IEEE Trans. Intell. Transp. Syst., 2016

Labeling uncertainty in multitarget tracking.
IEEE Trans. Aerosp. Electron. Syst., 2016

Poisson multi-Bernoulli conjugate prior for multiple extended object estimation.
CoRR, 2016

Gamma Gaussian inverse-Wishart Poisson multi-Bernoulli filter for extended target tracking.
Proceedings of the 19th International Conference on Information Fusion, 2016

Recent results on Bayesian Cramér-Rao bounds for jump Markov systems.
Proceedings of the 19th International Conference on Information Fusion, 2016

2015
Posterior Linearization Filter: Principles and Implementation Using Sigma Points.
IEEE Trans. Signal Process., 2015

Gaussian MAP Filtering Using Kalman Optimization.
IEEE Trans. Autom. Control., 2015

Adaptive unscented Gaussian likelihood approximation filter.
Autom., 2015

Infinite Factorial Dynamical Model.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Challenges for cooperative ITS: Improving road safety through the integration of wireless communications, control, and positioning.
Proceedings of the International Conference on Computing, Networking and Communications, 2015

A Bayesian nonparametric approach for blind multiuser channel estimation.
Proceedings of the 23rd European Signal Processing Conference, 2015

Variational Bayesian EM for SLAM.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014
Bayesian Road Estimation Using Onboard Sensors.
IEEE Trans. Intell. Transp. Syst., 2014

The Marginal Enumeration Bayesian Cramér-Rao Bound for Jump Markov Systems.
IEEE Signal Process. Lett., 2014

Vehicle self-localization using off-the-shelf sensors and a detailed map.
Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

Road geometry estimation using a precise clothoid road model and observations of moving vehicles.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

Target tracking based on estimation of sets of trajectories.
Proceedings of the 17th International Conference on Information Fusion, 2014

Gaussian process quadratures in nonlinear sigma-point filtering and smoothing.
Proceedings of the 17th International Conference on Information Fusion, 2014

Merging-based forward-backward smoothing on Gaussian mixtures.
Proceedings of the 17th International Conference on Information Fusion, 2014

Two-filter Gaussian mixture smoothing with posterior pruning.
Proceedings of the 17th International Conference on Information Fusion, 2014

Iterated statistical linear regression for Bayesian updates.
Proceedings of the 17th International Conference on Information Fusion, 2014

A fresh look at Bayesian Cramér-Rao bounds for discrete-time nonlinear filtering.
Proceedings of the 17th International Conference on Information Fusion, 2014

2013
A CPHD Filter for Tracking With Spawning Models.
IEEE J. Sel. Top. Signal Process., 2013

Adaptive stopping for fast particle smoothing.
Proceedings of the IEEE International Conference on Acoustics, 2013

Particle PHD forward filter-backward simulator for targets in close proximity.
Proceedings of the IEEE International Conference on Acoustics, 2013

A Probabilistic Template Model for Finding Macromolecules in MET Volume Images.
Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013

Smoothed probabilistic data association filter.
Proceedings of the 16th International Conference on Information Fusion, 2013

2012
Moment Estimation Using a Marginalized Transform.
IEEE Trans. Signal Process., 2012

Design and Experimental Validation of a Cooperative Driving System in the Grand Cooperative Driving Challenge.
IEEE Trans. Intell. Transp. Syst., 2012

Extended Object Tracking using a Radar Resolution Model.
IEEE Trans. Aerosp. Electron. Syst., 2012

Adaptive Radar Sensor Model for Tracking Structured Extended Objects.
IEEE Trans. Aerosp. Electron. Syst., 2012

Variational Bayesian framework for receiver design in the presence of phase noise in MIMO systems.
Proceedings of the 2012 IEEE Wireless Communications and Networking Conference, 2012

Rigid Template Registration in MET Images using CUDA.
Proceedings of the VISAPP 2012, 2012

A map based estimator for inverse complex covariance matricies.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Optimal posterior density approximation for bearings-only tracking.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

A cardinality preserving multitarget multi-Bernoulli RFS tracker.
Proceedings of the 15th International Conference on Information Fusion, 2012

Two linear complexity particle filters capable of maintaining target label probabilities for targets in close proximity.
Proceedings of the 15th International Conference on Information Fusion, 2012

A study of MAP estimation techniques for nonlinear filtering.
Proceedings of the 15th International Conference on Information Fusion, 2012

The Rao-Blackwellized marginal M-SMC filter for Bayesian multi-target tracking and labelling.
Proceedings of the 15th International Conference on Information Fusion, 2012

2011
Set JPDA Filter for Multitarget Tracking.
IEEE Trans. Signal Process., 2011

A New Vehicle Motion Model for Improved Predictions and Situation Assessment.
IEEE Trans. Intell. Transp. Syst., 2011

Registration Parameter Spaces for Molecular Electron Tomography Images.
Proceedings of the Image Analysis and Processing - ICIAP 2011, 2011

Interpolation based on stationary and adaptive AR(1) modeling.
Proceedings of the IEEE International Conference on Acoustics, 2011

An approximate Minimum MOSPA estimator.
Proceedings of the IEEE International Conference on Acoustics, 2011

Marginalized sigma-point filtering.
Proceedings of the 14th International Conference on Information Fusion, 2011

Optimal parameterization of posterior densities using homotopy.
Proceedings of the 14th International Conference on Information Fusion, 2011

The Set MHT.
Proceedings of the 14th International Conference on Information Fusion, 2011

A look at Gaussian mixture reduction algorithms.
Proceedings of the 14th International Conference on Information Fusion, 2011

Aspects of MMOSPA estimation.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

CS versus MAP and MMOSPA for multi-target radar AOAs.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
A new multiple model filter with switch time conditions.
IEEE Trans. Signal Process., 2010

The reference prior for complex covariance matrices with efficient implementation strategies.
IEEE Trans. Signal Process., 2010

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

Bayesian data fusion for distributed target detection in sensor networks.
IEEE Trans. Signal Process., 2010

Shooting two birds with two bullets: How to find Minimum Mean OSPA estimates.
Proceedings of the 13th Conference on Information Fusion, 2010

2009
Performance evaluation of MHT and GM-CPHD in a ground target tracking scenario.
Proceedings of the 12th International Conference on Information Fusion, 2009

Set JPDA algorithm for tracking unordered sets of targets.
Proceedings of the 12th International Conference on Information Fusion, 2009

Evaluating the Bayesian Cramér-Rao Bound for multiple model filtering.
Proceedings of the 12th International Conference on Information Fusion, 2009

2007
Multiple Model Filtering with Switch Time Conditions.
Proceedings of the 10th International Conference on Information Fusion, 2007

2005
On posterior distributions for signals in Gaussian noise with unknown covariance matrix.
IEEE Trans. Signal Process., 2005

2002
Dual-band land mine detection using a Bayesian approach.
Proceedings of the IEEE International Conference on Acoustics, 2002


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