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)

Road Intensity Based Mapping Using Radar Measurements With a Probability Hypothesis Density Filter. - Christian Lundquist; Lars Hammarstrand; Fredrik Gustafsson (IEEE Trans. Signal Process., 2011)

A study of MAP estimation techniques for nonlinear filtering. - Maryam Fatemi; Lennart Svensson; Lars Hammarstrand; 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)

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)

Multitarget Sensor Resolution Model and Joint Probabilistic Data Association. - Daniel Svensson; Martin Ulmke; Lars Hammarstrand (IEEE Trans. Aerosp. Electron. Syst., 2012)

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

A Probabilistic Framework for Decision-Making in Collision Avoidance Systems. - Mattias Brännström; Fredrik Sandblom; Lars Hammarstrand (IEEE Trans. Intell. Transp. Syst., 2013)

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)

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)

Using a single band GNSS receiver to improve relative positioning in autonomous cars. - Erik Stenborg; Lars Hammarstrand (Intelligent Vehicles Symposium, 2016)

Coordination of Cooperative Autonomous Vehicles: Toward safer and more efficient road transportation. - Robert Hult; Gabriel Rodrigues de Campos; Erik Steinmetz; Lars Hammarstrand; Paolo Falcone; Henk Wymeersch (IEEE Signal Process. Mag., 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)

Driver-Gaze Zone Estimation Using Bayesian Filtering and Gaussian Processes. - Malin Lundgren; Lars Hammarstrand; Tomas McKelvey (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)

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

Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions. - Torsten Sattler; Will Maddern; Carl Toft; Akihiko Torii; Lars Hammarstrand; Erik Stenborg; Daniel Safari; Masatoshi Okutomi; Marc Pollefeys; Josef Sivic; Fredrik Kahl; Tomás Pajdla (CVPR, 2018)

Semantic Match Consistency for Long-Term Visual Localization. - Carl Toft; Erik Stenborg; Lars Hammarstrand; Lucas Brynte; Marc Pollefeys; Torsten Sattler; Fredrik Kahl (ECCV (2), 2018)

Long-Term Visual Localization Using Semantically Segmented Images. - Erik Stenborg; Carl Toft; Lars Hammarstrand (ICRA, 2018)

A Cross-Season Correspondence Dataset for Robust Semantic Segmentation. - Måns Larsson; Erik Stenborg; Lars Hammarstrand; Marc Pollefeys; Torsten Sattler; Fredrik Kahl (CVPR, 2019)

Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization. - Måns Larsson; Erik Stenborg; Carl Toft; Lars Hammarstrand; Torsten Sattler; Fredrik Kahl (ICCV, 2019)

Using Image Sequences for Long-Term Visual Localization. - Erik Stenborg; Torsten Sattler; Lars Hammarstrand (3DV, 2020)

Back to the Feature: Learning Robust Camera Localization From Pixels To Pose. - Paul-Edouard Sarlin; Ajaykumar Unagar; Måns Larsson; Hugo Germain; Carl Toft; Viktor Larsson; Marc Pollefeys; Vincent Lepetit; Lars Hammarstrand; Fredrik Kahl; Torsten Sattler (CVPR, 2021)

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

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

Long-Term Visual Localization Revisited. - Carl Toft; Will Maddern; Akihiko Torii; Lars Hammarstrand; Erik Stenborg; Daniel Safari; Masatoshi Okutomi; Marc Pollefeys; Josef Sivic; Tomás Pajdla; Fredrik Kahl; Torsten Sattler (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Localization is All You Evaluate: Data Leakage in Online Mapping Datasets and How to Fix it. - Adam Lilja; Junsheng Fu; Erik Stenborg; Lars Hammarstrand (CVPR, 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)

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)

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

Exploring Semi-Supervised Learning for Online Mapping. - Adam Lilja; Erik Wallin; Junsheng Fu; Lars Hammarstrand (CVPR Workshops, 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)

ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth Networks. - Erik Wallin; Fredrik Kahl; Lars Hammarstrand (CVPR, 2025)

GASP: Unifying Geometric and Semantic Self-Supervised Pre-training for Autonomous Driving. - William Ljungbergh; Adam Lilja; Adam Tonderski; Arvid Laveno Ling; Carl Lindström; Willem Verbeke; Junsheng Fu; Christoffer Petersson; Lars Hammarstrand; Michael Felsberg (CoRR, 2025)