% generated by bibtexbrowser % % Encoding: UTF-8 @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}, }