Erik Stenborg

According to our database, Erik Stenborg authored at least 14 papers between 2014 and 2026.

Collaborative distances:

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

2026

B²F-Map: Crowd-sourced Mapping with Bayesian B-spline Fusion.

Yiping Xie, Yuxuan Xia, Erik Stenborg, Junsheng Fu, Axel Beauvisage, Gabriel E. García, Tianyu Wu, Gustaf Hendeby

CoRR, March, 2026

2025

SMAB: Simple Multimodal Attention for Effective BEV Fusion.

Amer Mustajbasic, Shuangshuang Chen, Erik Stenborg, Selpi

Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

Guided Gaussians: Enhancing 3D Occupancy Estimation with Sparse Sensor Priors.

Amer Mustajbasic, Han Fu, Jialu Xu, Shuangshuang Chen, Erik Stenborg

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

2024

Bayesian Simultaneous Localization and Multi-Lane Tracking Using Onboard Sensors and a SD Map.

Yuxuan Xia, Erik Stenborg, Junsheng Fu, Gustaf Hendeby

Proceedings of the 27th International Conference on Information Fusion, 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

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

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

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