This is an old revision of the document!
% 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. StĂĽckler 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},
}