Seuraa
Lukas von Stumberg
Lukas von Stumberg
Computer Vision Software Engineer at Valve Corporation
Vahvistettu sähköpostiosoite verkkotunnuksessa in.tum.de - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
D3vo: Deep depth, deep pose and deep uncertainty for monocular visual odometry
N Yang, L Stumberg, R Wang, D Cremers
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
4002020
Direct sparse visual-inertial odometry using dynamic marginalization
L Von Stumberg, V Usenko, D Cremers
2018 IEEE International Conference on Robotics and Automation (ICRA), 2510-2517, 2018
2482018
Real-time trajectory replanning for MAVs using uniform B-splines and a 3D circular buffer
V Usenko, L Von Stumberg, A Pangercic, D Cremers
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
1912017
Omnidirectional DSO: Direct sparse odometry with fisheye cameras
H Matsuki, L Von Stumberg, V Usenko, J Stückler, D Cremers
IEEE Robotics and Automation Letters 3 (4), 3693-3700, 2018
1062018
Gn-net: The gauss-newton loss for multi-weather relocalization
L Von Stumberg, P Wenzel, Q Khan, D Cremers
IEEE Robotics and Automation Letters 5 (2), 890-897, 2020
86*2020
Monorec: Semi-supervised dense reconstruction in dynamic environments from a single moving camera
F Wimbauer, N Yang, L Von Stumberg, N Zeller, D Cremers
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
742021
From monocular SLAM to autonomous drone exploration
L von Stumberg, V Usenko, J Engel, J Stückler, D Cremers
2017 European Conference on Mobile Robots (ECMR), 1-8, 2017
702017
DM-VIO: Delayed marginalization visual-inertial odometry
L Von Stumberg, D Cremers
IEEE Robotics and Automation Letters 7 (2), 1408-1415, 2022
682022
4Seasons: A cross-season dataset for multi-weather SLAM in autonomous driving
P Wenzel, R Wang, N Yang, Q Cheng, Q Khan, L von Stumberg, N Zeller, ...
Pattern Recognition: 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen …, 2021
542021
Rolling-shutter modelling for direct visual-inertial odometry
D Schubert, N Demmel, L Von Stumberg, V Usenko, D Cremers
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
382019
LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization
L von Stumberg, P Wenzel, N Yang, D Cremers
2020 International Conference on 3D Vision (3DV), 2020
282020
Autonomous exploration with a low-cost quadrocopter using semi-dense monocular slam
L von Stumberg, V Usenko, J Engel, J Stückler, D Cremers
arXiv preprint arXiv:1609.07835, 2016
142016
A Review and Quantitative Evaluation of Direct Visual–Inertial Odometry
L von Stumberg, V Usenko, D Cremers
Multimodal Scene Understanding, 159-198, 2019
62019
TUM flyers: Vision—Based MAV navigation for systematic inspection of structures
V Usenko, L von Stumberg, J Stückler, D Cremers
Bringing Innovative Robotic Technologies from Research Labs to Industrial …, 2020
52020
An Analytical Solution to Gauss-Newton Loss for Direct Image Alignment
S Solonets, D Sinitsyn, L Von Stumberg, N Araslanov, D Cremers
The Twelfth International Conference on Learning Representations, 2023
2023
Optimization-and Learning-Based Approaches to Visual SLAM and Relocalization
LM von Stumberg
Technische Universität München, 2023
2023
Direct Sparse Visual-Inertial Odometry Using Dynamic Marginalization
LM Von Stumberg
US Patent App. 16/366,659, 2019
2019
MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera Supplementary Material
F Wimbauer, N Yang, L von Stumberg, N Zeller, D Cremers
LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization: Supplementary Material
L von Stumberg, P Wenzel, N Yang, D Cremers
GN-Net: The Gauss-Newton Loss for Multi-Weather Relocalization–Supplementary Material–
L von Stumberg, P Wenzel, Q Khan, D Cremers
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Artikkelit 1–20