Lars Hammarstrand

55 papers A* 7A 1B 3C 4Journal 32Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Semi-Supervised Hierarchical Open-Set Classification.
CoRR
Erik Wallin, Fredrik Kahl, Lars Hammarstrand
2025 C conf
Bayesian Motion Estimation for Articulated Heavy Vehicles; A Damper-Based Model for Coupling Force.
FUSION
Axel Ceder, Lars Hammarstrand, Mats Jonasson, Murat Kumru, Leo Laine
2025 — conf
Exploring Semi-Supervised Learning for Online Mapping.
CVPR Workshops
Adam Lilja, Erik Wallin, Junsheng Fu, Lars Hammarstrand
2025 J jnl
GASP: Unifying Geometric and Semantic Self-Supervised Pre-training for Autonomous Driving.
CoRR
William Ljungbergh, Adam Lilja, Adam Tonderski, Arvid Laveno Ling, Carl Lindström, Willem Verbeke, Junsheng Fu, Christoffer Petersson, Lars Hammarstrand, Michael Felsberg
2025 J jnl
IDSplat: Instance-Decomposed 3D Gaussian Splatting for Driving Scenes.
CoRR
Carl Lindström, Mahan Rafidashti, Maryam Fatemi, Lars Hammarstrand, Martin R. Oswald, Lennart Svensson
2025 — conf
NeuRadar: Neural Radiance Fields for Automotive Radar Point Clouds.
CVPR Workshops
Mahan Rafidashti, Ji Lan, Maryam Fatemi, Junsheng Fu, Lars Hammarstrand, Lennart Svensson
2025 J jnl
NeuRadar: Neural Radiance Fields for Automotive Radar Point Clouds.
CoRR
Mahan Rafidashti, Ji Lan, Maryam Fatemi, Junsheng Fu, Lars Hammarstrand, Lennart Svensson
2025 A* conf
ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth Networks.
CVPR
Erik Wallin, Fredrik Kahl, Lars Hammarstrand
2025 J jnl
ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth Networks.
CoRR
Erik Wallin, Fredrik Kahl, Lars Hammarstrand
2025 J jnl
QueryOcc: Query-based Self-Supervision for 3D Semantic Occupancy.
CoRR
Adam Lilja, Ji Lan, Junsheng Fu, Lars Hammarstrand
2024 — conf
Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap.
CVPR Workshops
Carl Lindström, Georg Hess, Adam Lilja, Maryam Fatemi, Lars Hammarstrand, Christoffer Petersson, Lennart Svensson
2024 J jnl
Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap.
CoRR
Carl Lindström, Georg Hess, Adam Lilja, Maryam Fatemi, Lars Hammarstrand, Christoffer Petersson, Lennart Svensson
2024 J jnl
Exploring Semi-Supervised Learning for Online Mapping.
CoRR
Adam Lilja, Erik Wallin, Junsheng Fu, Lars Hammarstrand
2024 A conf
Improving Open-Set Semi-Supervised Learning with Self-Supervision.
WACV
Erik Wallin, Lennart Svensson, Fredrik Kahl, Lars Hammarstrand
2024 A* conf
Localization is All You Evaluate: Data Leakage in Online Mapping Datasets and How to Fix it.
CVPR
Adam Lilja, Junsheng Fu, Erik Stenborg, Lars Hammarstrand
2024 J jnl
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection.
CoRR
Erik Wallin, Lennart Svensson, Fredrik Kahl, Lars Hammarstrand
2024 — conf
ProSub: Probabilistic Open-Set Semi-supervised Learning with Subspace-Based Out-of-Distribution Detection.
ECCV (61)
Erik Wallin, Lennart Svensson, Fredrik Kahl, Lars Hammarstrand
2023 J jnl
Improving Open-Set Semi-Supervised Learning with Self-Supervision.
CoRR
Erik Wallin, Lennart Svensson, Fredrik Kahl, Lars Hammarstrand
2023 J jnl
Localization Is All You Evaluate: Data Leakage in Online Mapping Datasets and How to Fix It.
CoRR
Adam Lilja, Junsheng Fu, Erik Stenborg, Lars Hammarstrand
2022 B conf
DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision.
ICPR
Erik Wallin, Lennart Svensson, Fredrik Kahl, Lars Hammarstrand
2022 J jnl
DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision.
CoRR
Erik Wallin, Lennart Svensson, Fredrik Kahl, Lars Hammarstrand
2022 J jnl
Long-Term Visual Localization Revisited.
IEEE Trans. Pattern Anal. Mach. Intell.
Carl Toft, Will Maddern, Akihiko Torii, Lars Hammarstrand, Erik Stenborg, Daniel Safari, Masatoshi Okutomi, Marc Pollefeys, Josef Sivic, Tomás Pajdla, Fredrik Kahl, Torsten Sattler
2021 A* conf
Back to the Feature: Learning Robust Camera Localization From Pixels To Pose.
CVPR
Paul-Edouard Sarlin, Ajaykumar Unagar, Måns Larsson, Hugo Germain, Carl Toft, Viktor Larsson, Marc Pollefeys, Vincent Lepetit, Lars Hammarstrand, Fredrik Kahl, Torsten Sattler
2021 J jnl
Back to the Feature: Learning Robust Camera Localization from Pixels to Pose.
CoRR
Paul-Edouard Sarlin, Ajaykumar Unagar, Måns Larsson, Hugo Germain, Carl Toft, Viktor Larsson, Marc Pollefeys, Vincent Lepetit, Lars Hammarstrand, Fredrik Kahl, Torsten Sattler
2021 C conf
Extended Object Tracking Using Sets Of Trajectories with a PHD Filter.
FUSION
Jakob Sjudin, Martin Marcusson, Lennart Svensson, Lars Hammarstrand
2021 J jnl
Extended Object Tracking Using Sets Of Trajectories with a PHD Filter.
CoRR
Jakob Sjudin, Martin Marcusson, Lennart Svensson, Lars Hammarstrand
2020 — conf
Using Image Sequences for Long-Term Visual Localization.
3DV
Erik Stenborg, Torsten Sattler, Lars Hammarstrand
2019 A* conf
A Cross-Season Correspondence Dataset for Robust Semantic Segmentation.
CVPR
Måns Larsson, Erik Stenborg, Lars Hammarstrand, Marc Pollefeys, Torsten Sattler, Fredrik Kahl
2019 J jnl
A Cross-Season Correspondence Dataset for Robust Semantic Segmentation.
CoRR
Måns Larsson, Erik Stenborg, Lars Hammarstrand, Torsten Sattler, Marc Pollefeys, Fredrik Kahl
2019 A* conf
Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization.
ICCV
Måns Larsson, Erik Stenborg, Carl Toft, Lars Hammarstrand, Torsten Sattler, Fredrik Kahl
2019 J jnl
Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization.
CoRR
Måns Larsson, Erik Stenborg, Carl Toft, Lars Hammarstrand, Torsten Sattler, Fredrik Kahl
2018 A* conf
Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions.
CVPR
Torsten Sattler, Will Maddern, Carl Toft, Akihiko Torii, Lars Hammarstrand, Erik Stenborg, Daniel Safari, Masatoshi Okutomi, Marc Pollefeys, Josef Sivic, Fredrik Kahl, Tomás Pajdla
2018 A* conf
Long-Term Visual Localization Using Semantically Segmented Images.
ICRA
Erik Stenborg, Carl Toft, Lars Hammarstrand
2018 J jnl
Long-term Visual Localization using Semantically Segmented Images.
CoRR
Erik Stenborg, Carl Toft, Lars Hammarstrand
2018 J jnl
Poisson Multi-Bernoulli Mapping Using Gibbs Sampling.
CoRR
Maryam Fatemi, Karl Granström, Lennart Svensson, Francisco J. R. Ruiz, Lars Hammarstrand
2018 — conf
Semantic Match Consistency for Long-Term Visual Localization.
ECCV (2)
Carl Toft, Erik Stenborg, Lars Hammarstrand, Lucas Brynte, Marc Pollefeys, Torsten Sattler, Fredrik Kahl
2017 J jnl
Poisson Multi-Bernoulli Mapping Using Gibbs Sampling.
IEEE Trans. Signal Process.
Maryam Fatemi, Karl Granström, Lennart Svensson, Francisco J. R. Ruiz, Lars Hammarstrand
2016 J jnl
Coordination of Cooperative Autonomous Vehicles: Toward safer and more efficient road transportation.
IEEE Signal Process. Mag.
Robert Hult, Gabriel Rodrigues de Campos, Erik Steinmetz, Lars Hammarstrand, Paolo Falcone, Henk Wymeersch
2016 J jnl
Driver-Gaze Zone Estimation Using Bayesian Filtering and Gaussian Processes.
IEEE Trans. Intell. Transp. Syst.
Malin Lundgren, Lars Hammarstrand, Tomas McKelvey
2016 J jnl
Long-Range Road Geometry Estimation Using Moving Vehicles and Roadside Observations.
IEEE Trans. Intell. Transp. Syst.
Lars Hammarstrand, Maryam Fatemi, Ángel F. García-Fernández, Lennart Svensson
2016 B conf
Using a single band GNSS receiver to improve relative positioning in autonomous cars.
Intelligent Vehicles Symposium
Erik Stenborg, Lars Hammarstrand
2016 J jnl
Variational Bayesian Expectation Maximization for Radar Map Estimation.
IEEE Trans. Signal Process.
Malin Lundgren, Lennart Svensson, Lars Hammarstrand
2015 — conf
Variational Bayesian EM for SLAM.
CAMSAP
Maryam Fatemi, Lennart Svensson, Lars Hammarstrand, Malin Lundgren
2014 J jnl
Bayesian Road Estimation Using Onboard Sensors.
IEEE Trans. Intell. Transp. Syst.
Ángel F. García-Fernández, Lars Hammarstrand, Maryam Fatemi, Lennart Svensson
2014 — conf
Road geometry estimation using a precise clothoid road model and observations of moving vehicles.
ITSC
Maryam Fatemi, Lars Hammarstrand, Lennart Svensson, Ángel F. García-Fernández
2014 B conf
Vehicle self-localization using off-the-shelf sensors and a detailed map.
Intelligent Vehicles Symposium
Malin Lundgren, Erik Stenborg, Lennart Svensson, Lars Hammarstrand
2013 J jnl
A CPHD Filter for Tracking With Spawning Models.
IEEE J. Sel. Top. Signal Process.
Malin Lundgren, Lennart Svensson, Lars Hammarstrand
2013 J jnl
A Probabilistic Framework for Decision-Making in Collision Avoidance Systems.
IEEE Trans. Intell. Transp. Syst.
Mattias Brännström, Fredrik Sandblom, Lars Hammarstrand
2012 C conf
A cardinality preserving multitarget multi-Bernoulli RFS tracker.
FUSION
Vishal Cholapadi Ravindra, Lennart Svensson, Lars Hammarstrand, Mark R. Morelande
2012 C conf
A study of MAP estimation techniques for nonlinear filtering.
FUSION
Maryam Fatemi, Lennart Svensson, Lars Hammarstrand, Mark R. Morelande
2012 J jnl
Adaptive Radar Sensor Model for Tracking Structured Extended Objects.
IEEE Trans. Aerosp. Electron. Syst.
Lars Hammarstrand, Malin Lundgren, Lennart Svensson
2012 J jnl
Extended Object Tracking using a Radar Resolution Model.
IEEE Trans. Aerosp. Electron. Syst.
Lars Hammarstrand, Lennart Svensson, Fredrik Sandblom, Joakim Sorstedt
2012 J jnl
Multitarget Sensor Resolution Model and Joint Probabilistic Data Association.
IEEE Trans. Aerosp. Electron. Syst.
Daniel Svensson, Martin Ulmke, Lars Hammarstrand
2011 J jnl
A New Vehicle Motion Model for Improved Predictions and Situation Assessment.
IEEE Trans. Intell. Transp. Syst.
Joakim Sorstedt, Lennart Svensson, Fredrik Sandblom, Lars Hammarstrand
2011 J jnl
Road Intensity Based Mapping Using Radar Measurements With a Probability Hypothesis Density Filter.
IEEE Trans. Signal Process.
Christian Lundquist, Lars Hammarstrand, Fredrik Gustafsson