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ORCIDLars Hammarstrand
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2020 – today
- 2024
[c18]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- [c17]Adam Lilja, Junsheng Fu, Erik Stenborg, Lars Hammarstrand:
Localization is All You Evaluate: Data Leakage in Online Mapping Datasets and How to Fix it. CVPR 2024: 22150-22159 - [c16]Erik Wallin, Lennart Svensson, Fredrik Kahl, Lars Hammarstrand:
Improving Open-Set Semi-Supervised Learning with Self-Supervision. WACV 2024: 2345-2354 - [i11]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. CoRR abs/2403.16092 (2024) - [i10]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
- [i9]Erik Wallin, Lennart Svensson, Fredrik Kahl, Lars Hammarstrand:
Improving Open-Set Semi-Supervised Learning with Self-Supervision. CoRR abs/2301.10127 (2023) - [i8]Adam Lilja, Junsheng Fu, Erik Stenborg, Lars Hammarstrand:
Localization Is All You Evaluate: Data Leakage in Online Mapping Datasets and How to Fix It. CoRR abs/2312.06420 (2023) - 2022
- [j14]Carl Toft, Will Maddern, Akihiko Torii, Lars Hammarstrand, Erik Stenborg, Daniel Safari, Masatoshi Okutomi, Marc Pollefeys, Josef Sivic, Tomás Pajdla, Fredrik Kahl, Torsten Sattler:
Long-Term Visual Localization Revisited. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 2074-2088 (2022) - [c15]Erik Wallin, Lennart Svensson, Fredrik Kahl, Lars Hammarstrand:
DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision. ICPR 2022: 2871-2877 - [i7]Erik Wallin, Lennart Svensson, Fredrik Kahl, Lars Hammarstrand:
DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision. CoRR abs/2205.05575 (2022) - 2021
- [c14]Paul-Edouard Sarlin, Ajaykumar Unagar, Måns Larsson, Hugo Germain, Carl Toft, Viktor Larsson, Marc Pollefeys, Vincent Lepetit, Lars Hammarstrand, Fredrik Kahl, Torsten Sattler:
Back to the Feature: Learning Robust Camera Localization From Pixels To Pose. CVPR 2021: 3247-3257 - [c13]Jakob Sjudin, Martin Marcusson, Lennart Svensson, Lars Hammarstrand:
Extended Object Tracking Using Sets Of Trajectories with a PHD Filter. FUSION 2021: 1-8 - [i6]Paul-Edouard Sarlin, Ajaykumar Unagar, Måns Larsson, Hugo Germain, Carl Toft, Viktor Larsson, Marc Pollefeys, Vincent Lepetit, Lars Hammarstrand, Fredrik Kahl, Torsten Sattler:
Back to the Feature: Learning Robust Camera Localization from Pixels to Pose. CoRR abs/2103.09213 (2021) - [i5]Jakob Sjudin, Martin Marcusson, Lennart Svensson, Lars Hammarstrand:
Extended Object Tracking Using Sets Of Trajectories with a PHD Filter. CoRR abs/2109.01019 (2021) - 2020
- [c12]Erik Stenborg, Torsten Sattler, Lars Hammarstrand:
Using Image Sequences for Long-Term Visual Localization. 3DV 2020: 938-948
2010 – 2019
- 2019
- [c11]Måns Larsson, Erik Stenborg, Lars Hammarstrand, Marc Pollefeys, Torsten Sattler, Fredrik Kahl:
A Cross-Season Correspondence Dataset for Robust Semantic Segmentation. CVPR 2019: 9532-9542 - [c10]Måns Larsson, Erik Stenborg, Carl Toft, Lars Hammarstrand, Torsten Sattler, Fredrik Kahl:
Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization. ICCV 2019: 31-41 - [i4]Måns Larsson, Erik Stenborg, Lars Hammarstrand, Torsten Sattler, Marc Pollefeys, Fredrik Kahl:
A Cross-Season Correspondence Dataset for Robust Semantic Segmentation. CoRR abs/1903.06916 (2019) - [i3]Måns Larsson, Erik Stenborg, Carl Toft, Lars Hammarstrand, Torsten Sattler, Fredrik Kahl:
Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization. CoRR abs/1908.06387 (2019) - 2018
- [c9]Torsten Sattler, Will Maddern, Carl Toft, Akihiko Torii, Lars Hammarstrand, Erik Stenborg, Daniel Safari, Masatoshi Okutomi, Marc Pollefeys, Josef Sivic, Fredrik Kahl, Tomás Pajdla:
Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions. CVPR 2018: 8601-8610 - [c8]Carl Toft, Erik Stenborg, Lars Hammarstrand, Lucas Brynte, Marc Pollefeys, Torsten Sattler, Fredrik Kahl:
Semantic Match Consistency for Long-Term Visual Localization. ECCV (2) 2018: 391-408 - [c7]Erik Stenborg, Carl Toft, Lars Hammarstrand:
Long-Term Visual Localization Using Semantically Segmented Images. ICRA 2018: 6484-6490 - [i2]Erik Stenborg, Carl Toft, Lars Hammarstrand:
Long-term Visual Localization using Semantically Segmented Images. CoRR abs/1801.05269 (2018) - [i1]Maryam Fatemi, Karl Granström, Lennart Svensson, Francisco J. R. Ruiz, Lars Hammarstrand:
Poisson Multi-Bernoulli Mapping Using Gibbs Sampling. CoRR abs/1811.03154 (2018) - 2017
- [j13]Maryam Fatemi, Karl Granström, Lennart Svensson, Francisco J. R. Ruiz, Lars Hammarstrand:
Poisson Multi-Bernoulli Mapping Using Gibbs Sampling. IEEE Trans. Signal Process. 65(11): 2814-2827 (2017) - 2016
- [j12]Robert Hult, Gabriel Rodrigues de Campos, Erik Steinmetz, Lars Hammarstrand, Paolo Falcone, Henk Wymeersch:
Coordination of Cooperative Autonomous Vehicles: Toward safer and more efficient road transportation. IEEE Signal Process. Mag. 33(6): 74-84 (2016) - [j11]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) - [j10]Malin Lundgren, Lars Hammarstrand, Tomas McKelvey:
Driver-Gaze Zone Estimation Using Bayesian Filtering and Gaussian Processes. IEEE Trans. Intell. Transp. Syst. 17(10): 2739-2750 (2016) - [j9]Malin Lundgren, Lennart Svensson, Lars Hammarstrand:
Variational Bayesian Expectation Maximization for Radar Map Estimation. IEEE Trans. Signal Process. 64(6): 1391-1404 (2016) - [c6]Erik Stenborg, Lars Hammarstrand:
Using a single band GNSS receiver to improve relative positioning in autonomous cars. Intelligent Vehicles Symposium 2016: 921-926 - 2015
- [c5]Maryam Fatemi, Lennart Svensson, Lars Hammarstrand, Malin Lundgren:
Variational Bayesian EM for SLAM. CAMSAP 2015: 501-504 - 2014
- [j8]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) - [c4]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 - [c3]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
- [j7]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) - [j6]Mattias Brännström, Fredrik Sandblom, Lars Hammarstrand:
A Probabilistic Framework for Decision-Making in Collision Avoidance Systems. IEEE Trans. Intell. Transp. Syst. 14(2): 637-648 (2013) - 2012
- [j5]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) - [j4]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) - [j3]Daniel Svensson, Martin Ulmke, Lars Hammarstrand:
Multitarget Sensor Resolution Model and Joint Probabilistic Data Association. IEEE Trans. Aerosp. Electron. Syst. 48(4): 3418-3434 (2012) - [c2]Vishal Cholapadi Ravindra, Lennart Svensson, Lars Hammarstrand, Mark R. Morelande:
A cardinality preserving multitarget multi-Bernoulli RFS tracker. FUSION 2012: 832-839 - [c1]Maryam Fatemi, Lennart Svensson, Lars Hammarstrand, Mark R. Morelande:
A study of MAP estimation techniques for nonlinear filtering. FUSION 2012: 1058-1065 - 2011
- [j2]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) - [j1]Christian Lundquist, Lars Hammarstrand, Fredrik Gustafsson:
Road Intensity Based Mapping Using Radar Measurements With a Probability Hypothesis Density Filter. IEEE Trans. Signal Process. 59(4): 1397-1408 (2011)
Coauthor Index
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