Lukas von Stumberg

According to our database, Lukas von Stumberg authored at least 15 papers between 2016 and 2023.

Collaborative distances:

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

2023

Optimization- and Learning-Based Approaches to Visual SLAM and Relocalization.

Lukas von Stumberg

PhD thesis, 2023

2022

DM-VIO: Delayed Marginalization Visual-Inertial Odometry.

Lukas von Stumberg, Daniel Cremers

IEEE Robotics Autom. Lett., 2022

2021

MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments From a Single Moving Camera.

Felix Wimbauer, Nan Yang, Lukas von Stumberg, Niclas Zeller, Daniel Cremers

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

2020

TUM Flyers: Vision - Based MAV Navigation for Systematic Inspection of Structures.

Vladyslav Usenko, Lukas von Stumberg, Jörg Stückler, Daniel Cremers

Proceedings of the Bringing Innovative Robotic Technologies from Research Labs to Industrial End-users, 2020

GN-Net: The Gauss-Newton Loss for Multi-Weather Relocalization.

Lukas von Stumberg, Patrick Wenzel, Qadeer Khan, Daniel Cremers

IEEE Robotics Autom. Lett., 2020

4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in Autonomous Driving.

Patrick Wenzel, Rui Wang, Nan Yang, Qing Cheng, Qadeer Khan, Lukas von Stumberg, Niclas Zeller, Daniel Cremers

Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry.

Nan Yang, Lukas von Stumberg, Rui Wang, Daniel Cremers

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization.

Lukas von Stumberg, Patrick Wenzel, Nan Yang, Daniel Cremers

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

2019

GN-Net: The Gauss-Newton Loss for Deep Direct SLAM.

Lukas von Stumberg, Patrick Wenzel, Qadeer Khan, Daniel Cremers

CoRR, 2019

Rolling-Shutter Modelling for Direct Visual-Inertial Odometry.

David Schubert, Nikolaus Demmel, Lukas von Stumberg, Vladyslav Usenko, Daniel Cremers

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

Omnidirectional DSO: Direct Sparse Odometry With Fisheye Cameras.

Hidenobu Matsuki, Lukas von Stumberg, Vladyslav Usenko, Jörg Stückler, Daniel Cremers

IEEE Robotics Autom. Lett., 2018

Direct Sparse Visual-Inertial Odometry Using Dynamic Marginalization.

Lukas von Stumberg, Vladyslav Usenko, Daniel Cremers

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

2017

Real-time trajectory replanning for MAVs using uniform B-splines and a 3D circular buffer.

Vladyslav Usenko, Lukas von Stumberg, Andrej Pangercic, Daniel Cremers

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

From monocular SLAM to autonomous drone exploration.

Lukas von Stumberg, Vladyslav Usenko, Jakob Engel, Jörg Stückler, Daniel Cremers

Proceedings of the 2017 European Conference on Mobile Robots, 2017

2016

Autonomous Exploration with a Low-Cost Quadrocopter using Semi-Dense Monocular SLAM.

Lukas von Stumberg, Vladyslav Usenko, Jakob Engel, Jörg Stückler, Daniel Cremers

CoRR, 2016