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@inproceedings{engel2016monodataset,
author = {J. Engel and V. Usenko and D. Cremers},
title = {A Photometrically Calibrated Benchmark For Monocular Visual Odometry},
booktitle = {arXiv:1607.02555},
arxiv = { arXiv:1607.02555},
year = {2016},
month = {July},
keywords = {mono-ds,dso,photometric-calibration, vo, vslam},
}
@inproceedings{engel2016dso,
author = {J. Engel and V. Koltun and D. Cremers},
title = { Direct Sparse Odometry},
booktitle = {arXiv:1607.02565},
arxiv = { arXiv:1607.02565},
year = {2016},
month = {July},
keywords = {mono-ds,dso, vslam},
}
@article{Engel-et-al-pami2018,
author = {J. Engel and V. Koltun and D. Cremers},
title = { Direct Sparse Odometry},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
year = {2018},
month = {mar},
titleurl = {engel_et_al_pami2018.pdf},
keywords = {mono-ds,dso,directsparseodometry, vslam},
}
@inproceedings{wang2017stereoDSO,
title = {Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras},
author = {R. Wang and M. Schwörer and D. Cremers},
booktitle = {International Conference on Computer Vision (ICCV)},
year = {2017},
month = {October},
address = {Venice, Italy},
keywords = {dso, visual odometry, stereo, 3D reconstruction, stereodso},
}
@article{bergmann_RA-L_2018,
author = {P. Bergmann and R. Wang and D. Cremers},
title = {Online Photometric Calibration of Auto Exposure Video for Realtime Visual Odometry and SLAM},
journal = {IEEE Robotics and Automation Letters (RA-L)},
volume = {3},
issue = {2},
pages = {627--634},
year = {2018},
month = {April},
titleurl = {bergmann17calibration.pdf},
keywords = {visual odometry, calibration, SLAM, direct, dso, photometric-calibration},
award = {ICRA'18 Best Vision Paper Award - Finalist},
}
@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},
}
@inproceedings{gao2018ldso,
author = {X. Gao and R. Wang and N. Demmel and D. Cremers},
title = {LDSO: Direct Sparse Odometry with Loop Closure},
booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
arxiv = {arXiv:1808.01111},
year = {2018},
month = {October},
keywords = {dso, ldso, 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},
}
@inproceedings{yang2018dvso,
author = {N. Yang and R. Wang and J. Stueckler and D. Cremers},
title = {Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2018},
month = {September},
award = {Oral Presentation},
keywords = {dso, dvso, deep learning, monocular depth estimation, semi-supervised learning, slam, visual odometry, vslam},
}
@inproceedings{schubert2018drso,
author = {D. Schubert and N. Demmel and V. Usenko and J. Stueckler and D. Cremers},
title = {Direct Sparse Odometry With Rolling Shutter},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2018},
month = {September},
award = {Oral Presentation},
keywords = {dso, 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{gladkova2021tight,
author = {M Gladkova and R Wang and N Zeller and D Cremers},
title = {Tight Integration of Feature-based Relocalization in Monocular Direct Visual Odometry},
booktitle = {Proc. of the IEEE International Conference on Robotics and Automation (ICRA)},
year = {2021},
eprint = {2102.01191},
eprinttype = {arXiv},
eprintclass = {cs.CV},
keywords = {relocalization, localization, dso, ldso, tirdso, vslam},
}
@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},
}