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% generated by bibtexbrowser % % Encoding: UTF-8 @inproceedings{stumberg16exploration, author = {L. von Stumberg and V. Usenko and J. Engel and J. Stueckler and D. Cremers}, title = {From Monocular {SLAM} to Autonomous Drone Exploration}, booktitle = {European Conference on Mobile Robots (ECMR)}, arxiv = {arXiv:1609.07835}, year = {2017}, month = {September}, keywords = {vslam}, } @inproceedings{usenko17replanning, author = {V. Usenko and L. von Stumberg and A. Pangercic and D. Cremers}, title = {Real-Time Trajectory Replanning for MAVs using Uniform B-splines and a 3D Circular Buffer}, booktitle = {International Conference on Intelligent Robots and Systems (IROS)}, address = {Vancouver, Canada}, year = {2017}, month = {Sep}, award = {Best Paper Award - Finalist ({link})}, keywords = {trajectory, replanning, MAV}, } @inproceedings{stumberg18vidso, author = {L. von Stumberg and V. Usenko and D. Cremers}, title = {Direct Sparse Visual-Inertial Odometry using Dynamic Marginalization}, booktitle = {International Conference on Robotics and Automation (ICRA)}, year = {2018}, month = {May}, keywords = {dso, vi-dso, vslam}, } @inproceedings{schubert2019vidsors, author = {D. Schubert and N. Demmel and L. von Stumberg and V. Usenko and D. Cremers}, title = {Rolling-Shutter Modelling for Visual-Inertial Odometry}, booktitle = {International Conference on Intelligent Robots and Systems (IROS)}, year = {2019}, month = {November}, arxiv = {arXiv: 1911.01015}, keywords = {vidsors, vo, vio ,vslam}, } @article{matsuki2018_omnidso, title = {Omnidirectional DSO: Direct Sparse Odometry with Fisheye Cameras}, author = {H. Matsuki and L. von Stumberg and V. Usenko and J. Stueckler and D. Cremers}, journal = {IEEE Robotics and Automation Letters & Int. Conference on Intelligent Robots and Systems (IROS)}, booktitle = {Robotics and Automation Letters}, publisher = {IEEE}, year = {2018}, keywords = {dso, vslam}, } @article{gn-net-2020, author = {L. von Stumberg and P. Wenzel and Q. Khan and D. Cremers}, title = {{GN-Net}: The Gauss-Newton Loss for Multi-Weather Relocalization}, journal = {{IEEE} Robotics and Automation Letters ({RA-L})}, year = {2020}, volume = {5}, number = {2}, pages = {890-897}, keywords = {gn-net, vslam, deep learning}, } @inbook{vi-dso-chapter, author = {L. von Stumberg and V. Usenko and D. Cremers}, title = {A Review and Quantitative Evaluation of Direct Visual–Inertial Odometry}, editor = {M. Yang and B. Rosenhahn and V. Murino}, chapter = {Multimodal Scene Understanding}, publisher = {Academic Press}, pages = {159--198}, year = {2019}, doi = {10.1016/B978-0-12-817358-9.00013-5}, isbn = {978-0-12-817358-9}, keywords = {vo, vio, vslam}, } @inbook{usenko2020_tumflyers, author = {V. Usenko and L. von Stumberg and J. Stückler and D. Cremers}, editor = {F. Caccavale and C. Ott and B. Winkler and Z. Taylor}, title = {TUM Flyers: Vision---Based MAV Navigation for Systematic Inspection of Structures}, chapter = {Bringing Innovative Robotic Technologies from Research Labs to Industrial End-users}, year = {2020}, publisher = {Springer International Publishing}, address = {Cham}, pages = {189--209}, isbn = {978-3-030-34507-5}, doi = {10.1007/978-3-030-34507-5_8}, keywords = {vo, vio, vslam}, } @inproceedings{yang20d3vo, author = {N. Yang and L. von Stumberg and R. Wang and D. Cremers}, title = {D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry}, booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, eprint = {2003.01060}, eprinttype = {arXiv}, eprintclass = {cs.CV}, award = {Oral Presentation}, keywords = {dso,dvso, deep learning, monocular depth estimation, semi-supervised learning, slam, visual odometry,d3vo, vslam}, } @inproceedings{wenzel2020fourseasons, title = {{4Seasons}: A Cross-Season Dataset for Multi-Weather {SLAM} in Autonomous Driving}, author = {P. Wenzel and R. Wang and N. Yang and Q. Cheng and Q. Khan and L. von Stumberg and N. Zeller and D. Cremers}, booktitle = {Proceedings of the German Conference on Pattern Recognition ({GCPR})}, year = {2020}, keywords = {vslam,4seasons, deep learning}, } @inproceedings{lm-reloc-2020, author = {L. von Stumberg and P. Wenzel and N. Yang and D. Cremers}, title = {LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization}, booktitle = {International Conference on 3D Vision (3DV)}, year = {2020}, keywords = {lm-reloc, slam, structure-from-motion, direct method, mapping, vslam, deep learning}, } @inproceedings{wimbauer2020monorec, title = {MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera}, author = {F. Wimbauer and N. Yang and L. von Stumberg and N. Zeller and D Cremers}, booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, eprint = {2011.11814}, eprinttype = {arXiv}, eprintclass = {cs.CV}, keywords = {monorec, dvso, d3vo, mvs, deep learning, SLAM, vslam, reconstruction}, } @article{stumberg22dmvio, author = {L. von Stumberg and D. Cremers}, title = {{DM-VIO}: Delayed Marginalization Visual-Inertial Odometry}, journal = {{IEEE} Robotics and Automation Letters ({RA-L}) & International Conference on Robotics and Automation ({ICRA})}, year = {2022}, volume = {7}, number = {2}, pages = {1408-1415}, doi = {10.1109/LRA.2021.3140129}, keywords = {dm-vio, dso, vslam, SLAM, VIO, visual-inertial, vi-dso}, }