Lars Hammarstrand

According to our database, Lars Hammarstrand authored at least 34 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Exploring Semi-Supervised Learning for Online Mapping.

Adam Lilja, Erik Wallin, Junsheng Fu, Lars Hammarstrand

CoRR, 2024

Improving Open-Set Semi-Supervised Learning with Self-Supervision.

Erik Wallin, Lennart Svensson, Fredrik Kahl, Lars Hammarstrand

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

ProSub: Probabilistic Open-Set Semi-supervised Learning with Subspace-Based Out-of-Distribution Detection.

Erik Wallin, Lennart Svensson, Fredrik Kahl, Lars Hammarstrand

Proceedings of the Computer Vision - ECCV 2024, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Localization is All You Evaluate: Data Leakage in Online Mapping Datasets and How to Fix it.

Adam Lilja, Junsheng Fu, Erik Stenborg, Lars Hammarstrand

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision.

Erik Wallin, Lennart Svensson, Fredrik Kahl, Lars Hammarstrand

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

Extended Object Tracking Using Sets Of Trajectories with a PHD Filter.

Jakob Sjudin, Martin Marcusson, Lennart Svensson, Lars Hammarstrand

Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Using Image Sequences for Long-Term Visual Localization.

Erik Stenborg, Torsten Sattler, Lars Hammarstrand

Proceedings of the 8th International Conference on 3D Vision, 2020

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

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A Cross-Season Correspondence Dataset for Robust Semantic Segmentation.

Måns Larsson, Erik Stenborg, Lars Hammarstrand, Marc Pollefeys, Torsten Sattler, Fredrik Kahl

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Long-Term Visual Localization Using Semantically Segmented Images.

Erik Stenborg, Carl Toft, Lars Hammarstrand

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Semantic Match Consistency for Long-Term Visual Localization.

Carl Toft, Erik Stenborg, Lars Hammarstrand, Lucas Brynte, Marc Pollefeys, Torsten Sattler, Fredrik Kahl

Proceedings of the Computer Vision - ECCV 2018, 2018

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

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

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

2016

Variational Bayesian Expectation Maximization for Radar Map Estimation.

Malin Lundgren, Lennart Svensson, Lars Hammarstrand

IEEE Trans. Signal Process., 2016

Driver-Gaze Zone Estimation Using Bayesian Filtering and Gaussian Processes.

Malin Lundgren, Lars Hammarstrand, Tomas McKelvey

IEEE Trans. Intell. Transp. 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

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

Using a single band GNSS receiver to improve relative positioning in autonomous cars.

Erik Stenborg, Lars Hammarstrand

Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

2015

Variational Bayesian EM for SLAM.

Maryam Fatemi, Lennart Svensson, Lars Hammarstrand, Malin Lundgren

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014

Bayesian Road Estimation Using Onboard Sensors.

Ángel F. García-Fernández, Lars Hammarstrand, Maryam Fatemi, Lennart Svensson

IEEE Trans. Intell. Transp. Syst., 2014

Vehicle self-localization using off-the-shelf sensors and a detailed map.

Malin Lundgren, Erik Stenborg, Lennart Svensson, Lars Hammarstrand

Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 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

Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

2013

A Probabilistic Framework for Decision-Making in Collision Avoidance Systems.

Mattias Brännström, Fredrik Sandblom, Lars Hammarstrand

IEEE Trans. Intell. Transp. Syst., 2013

A CPHD Filter for Tracking With Spawning Models.

Malin Lundgren, Lennart Svensson, Lars Hammarstrand

IEEE J. Sel. Top. Signal Process., 2013

2012

Multitarget Sensor Resolution Model and Joint Probabilistic Data Association.

Daniel Svensson, Martin Ulmke, Lars Hammarstrand

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

Adaptive Radar Sensor Model for Tracking Structured Extended Objects.

Lars Hammarstrand, Malin Lundgren, Lennart Svensson

IEEE Trans. Aerosp. Electron. Syst., 2012

A cardinality preserving multitarget multi-Bernoulli RFS tracker.

Vishal Cholapadi Ravindra, Lennart Svensson, Lars Hammarstrand, Mark R. Morelande

Proceedings of the 15th International Conference on Information Fusion, 2012

A study of MAP estimation techniques for nonlinear filtering.

Maryam Fatemi, Lennart Svensson, Lars Hammarstrand, Mark R. Morelande

Proceedings of the 15th International Conference on Information Fusion, 2012

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 New Vehicle Motion Model for Improved Predictions and Situation Assessment.

Joakim Sorstedt, Lennart Svensson, Fredrik Sandblom, Lars Hammarstrand

IEEE Trans. Intell. Transp. Syst., 2011