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Lennart Svensson
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2020 – today
- 2024
- [j50]Hyowon Kim
, Ángel F. García-Fernández
Set-Type Belief Propagation With Applications to Poisson Multi-Bernoulli SLAM. IEEE Trans. Signal Process. 72: 1989-2005 (2024) - [j49]Jinhao Gu
Graph GOSPA Metric: A Metric to Measure the Discrepancy Between Graphs of Different Sizes. IEEE Trans. Signal Process. 72: 4037-4049 (2024) - [c86]Amanda Olmin
On the connection between Noise-Contrastive Estimation and Contrastive Divergence. AISTATS 2024: 3016-3024 - [c85]Carl Lindström, Georg Hess, Adam Lilja, Maryam Fatemi, Lars Hammarstrand, Christoffer Petersson, Lennart Svensson:
Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap. CVPR Workshops 2024: 4461-4471 - [c84]Adam Tonderski, Carl Lindström, Georg Hess, William Ljungbergh, Lennart Svensson, Christoffer Petersson:
NeuRAD: Neural Rendering for Autonomous Driving. CVPR 2024: 14895-14904 - [c83]Yuxuan Xia, Ángel F. García-Fernández, Lennart Svensson:
Hybrid PHD-PMB Trajectory Smoothing Using Backward Simulation. MFI 2024: 1-8 - [c82]Roman Naeem, David Hagerman
Trexplorer: Recurrent DETR for Topologically Correct Tree Centerline Tracking. MICCAI (11) 2024: 744-754 - [c81]Erik Wallin, Lennart Svensson, Fredrik Kahl, Lars Hammarstrand:
Improving Open-Set Semi-Supervised Learning with Self-Supervision. WACV 2024: 2345-2354 - [c80]Georg Hess
LidarCLIP or: How I Learned to Talk to Point Clouds. WACV 2024: 7423-7432 - [i50]Amanda Olmin, Jakob Lindqvist, Lennart Svensson, Fredrik Lindsten:
On the connection between Noise-Contrastive Estimation and Contrastive Divergence. CoRR abs/2402.16688 (2024) - [i49]Erik Brorsson, Knut Åkesson, Lennart Svensson, Kristofer Bengtsson:
ECAP: Extensive Cut-and-Paste Augmentation for Unsupervised Domain Adaptive Semantic Segmentation. CoRR abs/2403.03854 (2024) - [i48]Carl Lindström, Georg Hess
Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap. CoRR abs/2403.16092 (2024) - [i47]Erik Wallin, Lennart Svensson, Fredrik Kahl, Lars Hammarstrand:
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection. CoRR abs/2407.11735 (2024) - 2023
- [j48]Juliano Pinto
Deep Learning for Model-Based Multiobject Tracking. IEEE Trans. Aerosp. Electron. Syst. 59(6): 7363-7379 (2023) - [j47]Yuxuan Xia
Trajectory PMB Filters for Extended Object Tracking Using Belief Propagation. IEEE Trans. Aerosp. Electron. Syst. 59(6): 9312-9331 (2023) - [j46]Ángel F. García-Fernández
Poisson Multi-Bernoulli Mixture Filter With General Target-Generated Measurements and Arbitrary Clutter. IEEE Trans. Signal Process. 71: 1895-1906 (2023) - [c79]Yuxuan Xia, Ángel F. García-Fernández, Lennart Svensson:
An Efficient Implementation of the Extended Object Trajectory PMB Filter Using Blocked Gibbs Sampling. FUSION 2023: 1-8 - [c78]Yu Ge, Hyowon Kim, Lennart Svensson, Henk Wymeersch, Sumei Sun:
Integrated Monostatic and Bistatic mmWave Sensing. GLOBECOM 2023: 3897-3903 - [c77]Lechi Li, Chen Dai, Yuxuan Xia, Lennart Svensson:
Deep Fusion of Multi-Object Densities Using Transformer. ICASSP 2023: 1-5 - [c76]Isak Meding, Alexander Bodin, Adam Tonderski, Joakim Johnander, Christoffer Petersson, Lennart Svensson:
You can have your ensemble and run it too - Deep Ensembles Spread Over Time. ICCV (Workshops) 2023: 4022-4031 - [c75]Jakob Lindqvist, Amanda Olmin, Lennart Svensson, Fredrik Lindsten:
Generalised Active Learning With Annotation Quality Selection. MLSP 2023: 1-6 - [c74]Georg Hess
Masked Autoencoder for Self-Supervised Pre-training on Lidar Point Clouds. WACV (Workshops) 2023: 350-359 - [i46]Erik Wallin, Lennart Svensson, Fredrik Kahl, Lars Hammarstrand:
Improving Open-Set Semi-Supervised Learning with Self-Supervision. CoRR abs/2301.10127 (2023) - [i45]Hyowon Kim
Set-Type Belief Propagation with Applications to Mapping, MTT, SLAM, and SLAT. CoRR abs/2305.04797 (2023) - [i44]Anders Sjöberg, Jakob Lindqvist, Magnus Önnheim, Mats Jirstrand, Lennart Svensson:
MCMC-Correction of Score-Based Diffusion Models for Model Composition. CoRR abs/2307.14012 (2023) - [i43]Isak Meding, Alexander Bodin, Adam Tonderski, Joakim Johnander, Christoffer Petersson, Lennart Svensson:
You can have your ensemble and run it too - Deep Ensembles Spread Over Time. CoRR abs/2309.11333 (2023) - [i42]Jinhao Gu, Ángel F. García-Fernández, Robert E. Firth, Lennart Svensson:
Graph GOSPA metric: a metric to measure the discrepancy between graphs of different sizes. CoRR abs/2311.07596 (2023) - [i41]Adam Tonderski, Carl Lindström, Georg Hess
NeuRAD: Neural Rendering for Autonomous Driving. CoRR abs/2311.15260 (2023) - [i40]Juliano Pinto, Georg Hess
Transformer-Based Multi-Object Smoothing with Decoupled Data Association and Smoothing. CoRR abs/2312.17261 (2023) - 2022
- [j45]Yu Ge
A Computationally Efficient EK-PMBM Filter for Bistatic mmWave Radio SLAM. IEEE J. Sel. Areas Commun. 40(7): 2179-2192 (2022) - [j44]Yuxuan Xia
Poisson Multi-Bernoulli Approximations for Multiple Extended Object Filtering. IEEE Trans. Aerosp. Electron. Syst. 58(2): 890-906 (2022) - [j43]Ángel F. García-Fernández
Tracking Multiple Spawning Targets Using Poisson Multi-Bernoulli Mixtures on Sets of Tree Trajectories. IEEE Trans. Signal Process. 70: 1987-1999 (2022) - [j42]Yuxuan Xia
Multiple Object Trajectory Estimation Using Backward Simulation. IEEE Trans. Signal Process. 70: 3249-3263 (2022) - [j41]Hyowon Kim
PMBM-Based SLAM Filters in 5G mmWave Vehicular Networks. IEEE Trans. Veh. Technol. 71(8): 8646-8661 (2022) - [c73]Georg Hess
Object Detection as Probabilistic Set Prediction. ECCV (10) 2022: 550-566 - [c72]Ángel F. García-Fernández, Yuxuan Xia, Lennart Svensson:
A comparison between PMBM Bayesian track initiation and labelled RFS adaptive birth. FUSION 2022: 1-8 - [c71]Yu Ge, Hui Chen, Fan Jiang, Meifang Zhu, Hedieh Khosravi, Simon Lindberg, Hans Herbertsson, Olof Eriksson, Oliver Brunnegård, Bengt-Erik Olsson, Peter Hammarberg, Fredrik Tufvesson, Lennart Svensson, Henk Wymeersch:
Experimental Validation of Single Base Station 5G mm Wave Positioning: Initial Findings. FUSION 2022: 1-8 - [c70]Yu Ge, Ossi Kaltiokallio, Hui Chen
Doppler Exploitation in Bistatic mmWave Radio SLAM. GLOBECOM 2022: 6463-6468 - [c69]Yu Ge
Iterated Posterior Linearization PMB Filter for 5G SLAM. ICC 2022: 877-882 - [c68]Amanda Olmin
Active Learning with Weak Supervision for Gaussian Processes. ICONIP (5) 2022: 195-204 - [c67]Erik Wallin
DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision. ICPR 2022: 2871-2877 - [i39]Juliano Pinto, Georg Hess, William Ljungbergh, Yuxuan Xia, Henk Wymeersch, Lennart Svensson:
Can Deep Learning be Applied to Model-Based Multi-Object Tracking? CoRR abs/2202.07909 (2022) - [i38]Georg Hess
Object Detection as Probabilistic Set Prediction. CoRR abs/2203.07980 (2022) - [i37]Amanda Olmin, Jakob Lindqvist, Lennart Svensson, Fredrik Lindsten:
Active Learning with Weak Labels for Gaussian Processes. CoRR abs/2204.08335 (2022) - [i36]Erik Wallin, Lennart Svensson, Fredrik Kahl, Lars Hammarstrand:
DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision. CoRR abs/2205.05575 (2022) - [i35]Georg Hess
Masked Autoencoders for Self-Supervised Learning on Automotive Point Clouds. CoRR abs/2207.00531 (2022) - [i34]Ángel F. García-Fernández, Yuxuan Xia, Lennart Svensson:
A comparison between PMBM Bayesian track initiation and labelled RFS adaptive birth. CoRR abs/2207.06156 (2022) - [i33]Lechi Li, Chen Dai, Yuxuan Xia, Lennart Svensson:
Deep Fusion of Multi-Object Densities Using Transformer. CoRR abs/2209.08857 (2022) - [i32]Ángel F. García-Fernández, Yuxuan Xia, Lennart Svensson:
Poisson multi-Bernoulli mixture filter with general target-generated measurements and arbitrary clutter. CoRR abs/2210.12983 (2022) - [i31]Georg Hess, Adam Tonderski, Christoffer Petersson, Lennart Svensson, Kalle Åström:
LidarCLIP or: How I Learned to Talk to Point Clouds. CoRR abs/2212.06858 (2022) - 2021
- [j40]Yuxuan Xia
Learning-Based Extended Object Tracking Using Hierarchical Truncation Measurement Model With Automotive Radar. IEEE J. Sel. Top. Signal Process. 15(4): 1013-1029 (2021) - [j39]Luca Caltagirone, Mauro Bellone
Lidar-Camera Semi-Supervised Learning for Semantic Segmentation. Sensors 21(14): 4813 (2021) - [j38]Juliano Pinto
An Uncertainty-Aware Performance Measure for Multi-Object Tracking. IEEE Signal Process. Lett. 28: 1689-1693 (2021) - [j37]Ángel F. García-Fernández
A Poisson Multi-Bernoulli Mixture Filter for Coexisting Point and Extended Targets. IEEE Trans. Signal Process. 69: 2600-2610 (2021) - [c66]Ángel F. García-Fernández, Abu Sajana Rahmathullah, Lennart Svensson:
A time-weighted metric for sets of trajectories to assess multi-object tracking algorithms. FUSION 2021: 1-8 - [c65]Juliano Pinto, Georg Hess, William Ljungbergh, Yuxuan Xia, Lennart Svensson, Henk Wymeersch:
Next Generation Multitarget Trackers: Random Finite Set Methods vs Transformer-based Deep Learning. FUSION 2021: 1-8 - [c64]Jakob Sjudin, Martin Marcusson, Lennart Svensson, Lars Hammarstrand:
Extended Object Tracking Using Sets Of Trajectories with a PHD Filter. FUSION 2021: 1-8 - [c63]Viktor Olsson, Wilhelm Tranheden, Juliano Pinto, Lennart Svensson:
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning. WACV 2021: 1368-1377 - [c62]Wilhelm Tranheden, Viktor Olsson, Juliano Pinto, Lennart Svensson:
DACS: Domain Adaptation via Cross-domain Mixed Sampling. WACV 2021: 1378-1388 - [i30]Juliano Pinto, Georg Hess, William Ljungbergh, Yuxuan Xia, Lennart Svensson, Henk Wymeersch:
Next Generation Multitarget Trackers: Random Finite Set Methods vs Transformer-based Deep Learning. CoRR abs/2104.00734 (2021) - [i29]Juliano Pinto, Yuxuan Xia, Lennart Svensson, Henk Wymeersch:
An Uncertainty-Aware Performance Measure for Multi-Object Tracking. CoRR abs/2108.04619 (2021) - [i28]Jakob Sjudin, Martin Marcusson, Lennart Svensson, Lars Hammarstrand:
Extended Object Tracking Using Sets Of Trajectories with a PHD Filter. CoRR abs/2109.01019 (2021) - [i27]Ángel F. García-Fernández, Abu Sajana Rahmathullah, Lennart Svensson:
A time-weighted metric for sets of trajectories to assess multi-object tracking algorithms. CoRR abs/2110.13444 (2021) - [i26]Ángel F. García-Fernández, Lennart Svensson:
Tracking multiple spawning targets using Poisson multi-Bernoulli mixtures on sets of tree trajectories. CoRR abs/2111.05620 (2021) - [i25]Yu Ge, Yibo Wu, Fan Jiang, Ossi Kaltiokallio, Jukka Talvitie, Mikko Valkama, Lennart Svensson, Henk Wymeersch:
Iterated Posterior Linearization PMB Filter for 5G SLAM. CoRR abs/2112.02575 (2021) - 2020
- [j36]Yu Ge
5G SLAM Using the Clustering and Assignment Approach with Diffuse Multipath. Sensors 20(16): 4656 (2020) - [j35]Karl Granström
Poisson Multi-Bernoulli Mixture Conjugate Prior for Multiple Extended Target Filtering. IEEE Trans. Aerosp. Electron. Syst. 56(1): 208-225 (2020) - [j34]Ángel F. García-Fernández
Multiple Target Tracking Based on Sets of Trajectories. IEEE Trans. Aerosp. Electron. Syst. 56(3): 1685-1707 (2020) - [j33]Ángel F. García-Fernández
A Metric on the Space of Finite Sets of Trajectories for Evaluation of Multi-Target Tracking Algorithms. IEEE Trans. Signal Process. 68: 3917-3928 (2020) - [j32]Ángel F. García-Fernández
Trajectory Poisson Multi-Bernoulli Filters. IEEE Trans. Signal Process. 68: 4933-4945 (2020) - [c61]Anders Sunegård, Lennart Svensson, Torsten Sattler:
Deep LiDAR localization using optical flow sensor-map correspondences. 3DV 2020: 838-847 - [c60]Ángel F. García-Fernández, Lennart Svensson, Jason L. Williams
Trajectory multi-Bernoulli filters for multi-target tracking based on sets of trajectories. FUSION 2020: 1-8 - [c59]Karl Granström, Lennart Svensson, Yuxuan Xia
Spatiotemporal Constraints for Sets of Trajectories with Applications to PMBM Densities. FUSION 2020: 1-8 - [c58]Yuxuan Xia
Backward Simulation for Sets of Trajectories. FUSION 2020: 1-8 - [c57]Yu Ge
Exploiting Diffuse Multipath in 5G SLAM. GLOBECOM 2020: 1-6 - [c56]Simo Särkkä, Lennart Svensson:
Levenberg-Marquardt and Line-Search Extended Kalman Smoothers. ICASSP 2020: 5875-5879 - [c55]Jakob Lindqvist, Amanda Olmin
A General Framework for Ensemble Distribution Distillation. MLSP 2020: 1-6 - [i24]Jakob Lindqvist, Amanda Olmin, Fredrik Lindsten, Lennart Svensson:
A general framework for ensemble distribution distillation. CoRR abs/2002.11531 (2020) - [i23]Ángel F. García-Fernández, Lennart Svensson, Jason L. Williams, Yuxuan Xia, Karl Granström:
Trajectory Poisson multi-Bernoulli filters. CoRR abs/2003.12767 (2020) - [i22]Viktor Olsson, Wilhelm Tranheden, Juliano Pinto, Lennart Svensson:
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning. CoRR abs/2007.07936 (2020) - [i21]Wilhelm Tranheden, Viktor Olsson, Juliano Pinto, Lennart Svensson:
DACS: Domain Adaptation via Cross-domain Mixed Sampling. CoRR abs/2007.08702 (2020) - [i20]Ángel F. García-Fernández, Jason L. Williams, Lennart Svensson, Yuxuan Xia:
A Poisson multi-Bernoulli mixture filter for coexisting point and extended targets. CoRR abs/2011.04464 (2020)
2010 – 2019
- 2019
- [j31]Luca Caltagirone, Mauro Bellone
LIDAR-camera fusion for road detection using fully convolutional neural networks. Robotics Auton. Syst. 111: 125-131 (2019) - [j30]Ángel F. García-Fernández
Trajectory PHD and CPHD Filters. IEEE Trans. Signal Process. 67(22): 5702-5714 (2019) - [c54]Ángel F. García-Fernández, Lennart Svensson:
Spooky effect in optimal OSPA estimation and how GOSPA solves it. FUSION 2019: 1-8 - [c53]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 - [c52]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 - [c51]Dapeng Liu, Mattias Brännström, Andrew Backhouse, Lennart Svensson:
Learning faster to perform autonomous lane changes by constructing maneuvers from shielded semantic actions. ITSC 2019: 1838-1844 - [i19]Ángel F. García-Fernández, Lennart Svensson:
Spooky effect in optimal OSPA estimation and how GOSPA solves it. CoRR abs/1908.08815 (2019) - [i18]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) - [i17]Luca Caltagirone, Lennart Svensson, Mattias Wahde, Martin Sanfridson:
Lidar-Camera Co-Training for Semi-Supervised Road Detection. CoRR abs/1911.12597 (2019) - [i16]John Moberg, Lennart Svensson, Juliano Pinto, Henk Wymeersch:
Bayesian Linear Regression on Deep Representations. CoRR abs/1912.06760 (2019) - [i15]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
- [j29]Matti Raitoharju
Damped Posterior Linearization Filter. IEEE Signal Process. Lett. 25(4): 536-540 (2018) - [j28]Ángel F. García-Fernández
Poisson Multi-Bernoulli Mixture Filter: Direct Derivation and Implementation. IEEE Trans. Aerosp. Electron. Syst. 54(4): 1883-1901 (2018) - [j27]Francisco J. R. Ruiz
Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation. IEEE Trans. Cogn. Commun. Netw. 4(2): 177-191 (2018) - [j26]Karl Granström
Likelihood-Based Data Association for Extended Object Tracking Using Sampling Methods. IEEE Trans. Intell. Veh. 3(1): 30-45 (2018) - [j25]Ángel F. García-Fernández
Cooperative Localization Using Posterior Linearization Belief Propagation. IEEE Trans. Veh. Technol. 67(1): 832-836 (2018) - [c50]Karl Granström, Lennart Svensson, Yuxuan Xia
Poisson Multi-Bernoulli Mixture Trackers: Continuity Through Random Finite Sets of Trajectories. FUSION 2018: 1-5 - [c49]Yuxuan Xia
An Implementation of the Poisson Multi-Bernoulli Mixture Trajectory Filter via Dual Decomposition. FUSION 2018: 1-8 - [c48]Ángel F. García-Fernández, Lennart Svensson:
Trajectory probability hypothesis density filter. FUSION 2018: 1430-1437 - [i14]Luca Caltagirone, Mauro Bellone, Lennart Svensson, Mattias Wahde:
LIDAR-Camera Fusion for Road Detection Using Fully Convolutional Neural Networks. CoRR abs/1809.07941 (2018) - [i13]Francisco J. R. Ruiz, Isabel Valera, Lennart Svensson, Fernando Pérez-Cruz:
Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation. CoRR abs/1810.09261 (2018) - [i12]Maryam Fatemi, Karl Granström, Lennart Svensson, Francisco J. R. Ruiz, Lars Hammarstrand:
Poisson Multi-Bernoulli Mapping Using Gibbs Sampling. CoRR abs/1811.03154 (2018) - [i11]Ángel F. García-Fernández, Lennart Svensson:
Trajectory PHD and CPHD filters. CoRR abs/1811.08820 (2018) - [i10]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
- [j24]Lennart Svensson, Stina Svensson, Ingela Nyström, Fredrik Nysjö
ProViz: a tool for explorative 3-D visualization and template matching in electron tomograms. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 5(6): 446-454 (2017) - [j23]Ángel F. García-Fernández
Iterated Posterior Linearization Smoother. IEEE Trans. Autom. Control. 62(4): 2056-2063 (2017) - [j22]Maryam Fatemi, Karl Granström
Poisson Multi-Bernoulli Mapping Using Gibbs Sampling. IEEE Trans. Signal Process. 65(11): 2814-2827 (2017) - [c47]Abu Sajana Rahmathullah, Ángel F. García-Fernández, Lennart Svensson:
Generalized optimal sub-pattern assignment metric. FUSION 2017: 1-8 - [c46]Yuxuan Xia
Performance evaluation of multi-bernoulli conjugate priors for multi-target filtering. FUSION 2017: 1-8 - [c45]Luca Caltagirone, Mauro Bellone
LIDAR-based driving path generation using fully convolutional neural networks. ITSC 2017: 1-6 - [c44]Christopher Innocenti, Henrik Lindén, Ghazaleh Panahandeh, Lennart Svensson, Nasser Mohammadiha:
Imitation learning for vision-based lane keeping assistance. ITSC 2017: 425-430 - [c43]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 - [c42]Luca Caltagirone, Samuel Scheidegger
Fast LIDAR-based road detection using fully convolutional neural networks. Intelligent Vehicles Symposium 2017: 1019-1024 - [i9]Luca Caltagirone, Samuel Scheidegger, Lennart Svensson, Mattias Wahde:
Fast LIDAR-based Road Detection Using Fully Convolutional Neural Networks. CoRR abs/1703.03613 (2017) - [i8]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) - [i7]Luca Caltagirone, Mauro Bellone, Lennart Svensson, Mattias Wahde:
Simultaneous Perception and Path Generation Using Fully Convolutional Neural Networks. CoRR abs/1703.08987 (2017) - [i6]Christopher Innocenti, Henrik Lindén, Ghazaleh Panahandeh, Lennart Svensson, Nasser Mohammadiha:
Imitation Learning for Vision-based Lane Keeping Assistance. CoRR abs/1709.03853 (2017) - 2016
- [j21]Edson Hiroshi Aoki, Pranab Kumar Mandal, Lennart Svensson, Yvo Boers, Arunabha Bagchi:
Labeling uncertainty in multitarget tracking. IEEE Trans. Aerosp. Electron. Syst. 52(3): 1006-1020 (2016) - [j20]Lars Hammarstrand, Maryam Fatemi, Ángel F. García-Fernández, Lennart Svensson:
Long-Range Road Geometry Estimation Using Moving Vehicles and Roadside Observations. IEEE Trans. Intell. Transp. Syst. 17(8): 2144-2158 (2016) - [j19]Malin Lundgren, Lennart Svensson, Lars Hammarstrand:
Variational Bayesian Expectation Maximization for Radar Map Estimation. IEEE Trans. Signal Process. 64(6): 1391-1404 (2016) - [j18]Abu Sajana Rahmathullah
A Batch Algorithm for Estimating Trajectories of Point Targets Using Expectation Maximization. IEEE Trans. Signal Process. 64(18): 4792-4804 (2016) - [c41]Carsten Fritsche, Umut Orguner, Lennart Svensson, Fredrik Gustafsson:
Recent results on Bayesian Cramér-Rao bounds for jump Markov systems. FUSION 2016: 512-520 - [c40]Karl Granström, Maryam Fatemi, Lennart Svensson:
Gamma Gaussian inverse-Wishart Poisson multi-Bernoulli filter for extended target tracking. FUSION 2016: 893-900 - [i5]Abu Sajana Rahmathullah, Ángel F. García-Fernández, Lennart Svensson:
Generalized optimal sub-pattern assignment metric. CoRR abs/1601.05585 (2016) - [i4]Abu Sajana Rahmathullah, Ángel F. García-Fernández, Lennart Svensson:
A metric on the space of finite sets of trajectories for evaluation of multi-target tracking algorithms. CoRR abs/1605.01177 (2016) - [i3]Karl Granström, Maryam Fatemi, Lennart Svensson:
Poisson multi-Bernoulli conjugate prior for multiple extended object estimation. CoRR abs/1605.06311 (2016) - [i2]Ángel F. García-Fernández, Lennart Svensson:
Trajectory probability hypothesis density filter. CoRR abs/1605.07264 (2016) - [i1]Ángel F. García-Fernández, Lennart Svensson, Mark R. Morelande:
Multiple target tracking based on sets of trajectories. CoRR abs/1605.08163 (2016) - 2015
- [j17]Ángel F. García-Fernández, Mark R. Morelande, Jesús Grajal, Lennart Svensson:
Adaptive unscented Gaussian likelihood approximation filter. Autom. 54: 166-175 (2015) - [j16]Ángel F. García-Fernández, Lennart Svensson:
Gaussian MAP Filtering Using Kalman Optimization. IEEE Trans. Autom. Control. 60(5): 1336-1349 (2015) - [j15]Ángel F. García-Fernández, Lennart Svensson, Mark R. Morelande, Simo Särkkä:
Posterior Linearization Filter: Principles and Implementation Using Sigma Points. IEEE Trans. Signal Process. 63(20): 5561-5573 (2015) - [c39]Maryam Fatemi, Lennart Svensson, Lars Hammarstrand, Malin Lundgren:
Variational Bayesian EM for SLAM. CAMSAP 2015: 501-504 - [c38]Isabel Valera
A Bayesian nonparametric approach for blind multiuser channel estimation. EUSIPCO 2015: 2766-2770 - [c37]Henk Wymeersch
Challenges for cooperative ITS: Improving road safety through the integration of wireless communications, control, and positioning. ICNC 2015: 573-578 - [c36]Isabel Valera
Infinite Factorial Dynamical Model. NIPS 2015: 1666-1674 - 2014
- [j14]Carsten Fritsche, Umut Orguner
The Marginal Enumeration Bayesian Cramér-Rao Bound for Jump Markov Systems. IEEE Signal Process. Lett. 21(4): 464-468 (2014) - [j13]Ángel F. García-Fernández, Lars Hammarstrand, Maryam Fatemi, Lennart Svensson:
Bayesian Road Estimation Using Onboard Sensors. IEEE Trans. Intell. Transp. Syst. 15(4): 1676-1689 (2014) - [c35]Carsten Fritsche, Emre Özkan, Lennart Svensson, Fredrik Gustafsson:
A fresh look at Bayesian Cramér-Rao bounds for discrete-time nonlinear filtering. FUSION 2014: 1-8 - [c34]Ángel F. García-Fernández, Lennart Svensson, Mark R. Morelande:
Iterated statistical linear regression for Bayesian updates. FUSION 2014: 1-8 - [c33]Abu Sajana Rahmathullah, Lennart Svensson, Daniel Svensson:
Two-filter Gaussian mixture smoothing with posterior pruning. FUSION 2014: 1-8 - [c32]Abu Sajana Rahmathullah, Lennart Svensson, Daniel Svensson:
Merging-based forward-backward smoothing on Gaussian mixtures. FUSION 2014: 1-8 - [c31]Simo Särkkä, Jouni Hartikainen, Lennart Svensson, Fredrik Sandblom:
Gaussian process quadratures in nonlinear sigma-point filtering and smoothing. FUSION 2014: 1-8 - [c30]Lennart Svensson, Mark R. Morelande:
Target tracking based on estimation of sets of trajectories. FUSION 2014: 1-8 - [c29]Maryam Fatemi, Lars Hammarstrand, Lennart Svensson, Ángel F. García-Fernández:
Road geometry estimation using a precise clothoid road model and observations of moving vehicles. ITSC 2014: 238-244 - [c28]Malin Lundgren, Erik Stenborg, Lennart Svensson, Lars Hammarstrand:
Vehicle self-localization using off-the-shelf sensors and a detailed map. Intelligent Vehicles Symposium 2014: 522-528 - 2013
- [j12]Malin Lundgren, Lennart Svensson, Lars Hammarstrand:
A CPHD Filter for Tracking With Spawning Models. IEEE J. Sel. Top. Signal Process. 7(3): 496-507 (2013) - [c27]Abu Sajana Rahmathullah, Lennart Svensson, Daniel Svensson, Peter Willett:
Smoothed probabilistic data association filter. FUSION 2013: 1296-1303 - [c26]Lennart Svensson, Ida-Maria Sintorn:
A Probabilistic Template Model for Finding Macromolecules in MET Volume Images. IbPRIA 2013: 855-862 - [c25]Ehsan Taghavi
Adaptive stopping for fast particle smoothing. ICASSP 2013: 6293-6297 - [c24]Ramona Georgescu, Peter Willett
Particle PHD forward filter-backward simulator for targets in close proximity. ICASSP 2013: 6387-6391 - 2012
- [j11]Lars Hammarstrand, Malin Lundgren, Lennart Svensson:
Adaptive Radar Sensor Model for Tracking Structured Extended Objects. IEEE Trans. Aerosp. Electron. Syst. 48(3): 1975-1995 (2012) - [j10]Lars Hammarstrand, Lennart Svensson, Fredrik Sandblom, Joakim Sorstedt:
Extended Object Tracking using a Radar Resolution Model. IEEE Trans. Aerosp. Electron. Syst. 48(3): 2371-2386 (2012) - [j9]Roozbeh Kianfar, Bruno Augusto, Alireza Ebadighajari, Usman Hakeem, Josef Nilsson, Ali Raza, Reza S. Tabar, Naga VishnuKanth Irukulapati
Design and Experimental Validation of a Cooperative Driving System in the Grand Cooperative Driving Challenge. IEEE Trans. Intell. Transp. Syst. 13(3): 994-1007 (2012) - [j8]Fredrik Sandblom, Lennart Svensson:
Moment Estimation Using a Marginalized Transform. IEEE Trans. Signal Process. 60(12): 6138-6150 (2012) - [c23]Edson Hiroshi Aoki, Yvo Boers, Lennart Svensson, Pranab Kumar Mandal, Arunabha Bagchi:
The Rao-Blackwellized marginal M-SMC filter for Bayesian multi-target tracking and labelling. FUSION 2012: 90-97 - [c22]Vishal Cholapadi Ravindra, Lennart Svensson, Lars Hammarstrand, Mark R. Morelande:
A cardinality preserving multitarget multi-Bernoulli RFS tracker. FUSION 2012: 832-839 - [c21]Maryam Fatemi, Lennart Svensson, Lars Hammarstrand, Mark R. Morelande:
A study of MAP estimation techniques for nonlinear filtering. FUSION 2012: 1058-1065 - [c20]Ramona Georgescu, Peter Willett, Lennart Svensson, Mark R. Morelande:
Two linear complexity particle filters capable of maintaining target label probabilities for targets in close proximity. FUSION 2012: 2370-2377 - [c19]Magnus Lundberg Nordenvaad, Lennart Svensson:
A map based estimator for inverse complex covariance matricies. ICASSP 2012: 3369-3372 - [c18]Mark R. Morelande, Lennart Svensson, Jonas Hagmar, Mats Jirstrand
Optimal posterior density approximation for bearings-only tracking. ICASSP 2012: 3585-3588 - [c17]Lennart Svensson, Johan Nysjö, Anders Brun, Ingela Nyström, Ida-Maria Sintorn:
Rigid Template Registration in MET Images using CUDA. VISAPP (1) 2012: 418-422 - [c16]Rajet Krishnan, Mohammad Reza Khanzadi, Lennart Svensson, Thomas Eriksson
Variational Bayesian framework for receiver design in the presence of phase noise in MIMO systems. WCNC 2012: 347-352 - 2011
- [j7]Joakim Sorstedt, Lennart Svensson, Fredrik Sandblom, Lars Hammarstrand:
A New Vehicle Motion Model for Improved Predictions and Situation Assessment. IEEE Trans. Intell. Transp. Syst. 12(4): 1209-1219 (2011) - [j6]Lennart Svensson, Daniel Svensson, Marco Guerriero, Peter Willett
Set JPDA Filter for Multitarget Tracking. IEEE Trans. Signal Process. 59(10): 4677-4691 (2011) - [c15]David Frederic Crouse, Peter Willett
CS versus MAP and MMOSPA for multi-target radar AOAs. ACSCC 2011: 1484-1490 - [c14]David Frederic Crouse, Peter Willett
Aspects of MMOSPA estimation. CDC/ECC 2011: 6001-6006 - [c13]David Frederic Crouse, Peter Willett, Krishna R. Pattipati, Lennart Svensson:
A look at Gaussian mixture reduction algorithms. FUSION 2011: 1-8 - [c12]David Frederic Crouse, Peter Willett, Lennart Svensson, Daniel Svensson, Marco Guerriero:
The Set MHT. FUSION 2011: 1-8 - [c11]Jonas Hagmar, Mats Jirstrand, Lennart Svensson, Mark R. Morelande:
Optimal parameterization of posterior densities using homotopy. FUSION 2011: 1-8 - [c10]Fredrik Sandblom, Lennart Svensson:
Marginalized sigma-point filtering. FUSION 2011: 1-8 - [c9]David Frederic Crouse, Peter Willett
An approximate Minimum MOSPA estimator. ICASSP 2011: 3644-3647 - [c8]Eija Johansson, Marie Strom, Mats Viberg
Interpolation based on stationary and adaptive AR(1) modeling. ICASSP 2011: 4052-4055 - [c7]Lennart Svensson, Anders Brun, Ingela Nyström, Ida-Maria Sintorn:
Registration Parameter Spaces for Molecular Electron Tomography Images. ICIAP (1) 2011: 403-412 - 2010
- [j5]Daniel Svensson, Lennart Svensson:
A new multiple model filter with switch time conditions. IEEE Trans. Signal Process. 58(1): 11-25 (2010) - [j4]Lennart Svensson, Magnus Lundberg Nordenvaad:
The reference prior for complex covariance matrices with efficient implementation strategies. IEEE Trans. Signal Process. 58(1): 53-66 (2010) - [j3]Marco Guerriero, Lennart Svensson, Peter Willett
Bayesian data fusion for distributed target detection in sensor networks. IEEE Trans. Signal Process. 58(6): 3417-3412 (2010) - [j2]Lennart Svensson:
On the Bayesian Cramér-Rao bound for Markovian switching systems. IEEE Trans. Signal Process. 58(9): 4507-4516 (2010) - [c6]Marco Guerriero, Lennart Svensson, Daniel Svensson, Peter Willett:
Shooting two birds with two bullets: How to find Minimum Mean OSPA estimates. FUSION 2010: 1-8
2000 – 2009
- 2009
- [c5]Daniel Svensson, Johannes Wintenby, Lennart Svensson:
Performance evaluation of MHT and GM-CPHD in a ground target tracking scenario. FUSION 2009: 300-307 - [c4]Lennart Svensson, Daniel Svensson, Peter Willett:
Set JPDA algorithm for tracking unordered sets of targets. FUSION 2009: 1187-1194 - [c3]Lennart Svensson:
Evaluating the Bayesian Cramér-Rao Bound for multiple model filtering. FUSION 2009: 1775-1782 - 2007
- [c2]Lennart Svensson, Daniel Svensson:
Multiple Model Filtering with Switch Time Conditions. FUSION 2007: 1-7 - 2005
- [j1]Lennart Svensson, Magnus Lundberg:
On posterior distributions for signals in Gaussian noise with unknown covariance matrix. IEEE Trans. Signal Process. 53(9): 3554-3571 (2005) - 2002
- [c1]Lennart Svensson, Magnus Lundberg:
Dual-band land mine detection using a Bayesian approach. ICASSP 2002: 1297-1300
Coauthor Index
[j50] [j49] [c83] [j47] [j46] [c79] [i45] [i42] [j44] [j43] [j42] [c72] [i34] [i32] [j37] [c66] [i27] [i26] [j34] [j33] [j32] [c60] [c59] [c58] [i23] [i20] [j30] [c54] [c53] [c52] [i19] [i18] [i15] [j29] [j28] [j25] [c50] [c49] [c48] [i11] [i10] [j23] [c47] [c46] [i8] [j20] [i5] [i4] [i2] [i1] [j17] [j16] [j15] [j13] [c34] [c29]
Jason Williams 0002
aka: Jason L. Williams
aka: Jason L. Williams
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