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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},
}