Direct Sparse Odometry - Google Scholar Metrics

Articles citing Direct Sparse Odometry

Title / Author	Year
Vins-mono: A robust and versatile monocular visual-inertial state estimator T Qin, P Li, S Shen IEEE Transactions on Robotics 34 (4), 1004-1020	2018
SVO: Semidirect visual odometry for monocular and multicamera systems C Forster, Z Zhang, M Gassner, M Werlberger, D Scaramuzza IEEE Transactions on Robotics 33 (2), 249-265	2016
Visual SLAM algorithms: a survey from 2010 to 2016 T Taketomi, H Uchiyama, S Ikeda IPSJ Transactions on Computer Vision and Applications 9 (1), 16	2017
Simultaneous localization and mapping: A survey of current trends in autonomous driving G Bresson, Z Alsayed, L Yu, S Glaser IEEE Transactions on Intelligent Vehicles 2 (3), 194-220	2017
Undeepvo: Monocular visual odometry through unsupervised deep learning R Li, S Wang, Z Long, D Gu 2018 IEEE international conference on robotics and automation (ICRA), 7286-7291	2018
Learning depth from monocular videos using direct methods C Wang, J Miguel Buenaposada, R Zhu, S Lucey Proceedings of the IEEE Conference on Computer Vision and Pattern …	2018
Playing for benchmarks SR Richter, Z Hayder, V Koltun Proceedings of the IEEE International Conference on Computer Vision, 2213-2222	2017
Fast and furious: Real time end-to-end 3d detection, tracking and motion forecasting with a single convolutional net W Luo, B Yang, R Urtasun Proceedings of the IEEE conference on Computer Vision and Pattern …	2018
A benchmark comparison of monocular visual-inertial odometry algorithms for flying robots J Delmerico, D Scaramuzza 2018 IEEE International Conference on Robotics and Automation (ICRA), 2502-2509	2018
Tanks and temples: Benchmarking large-scale scene reconstruction A Knapitsch, J Park, QY Zhou, V Koltun ACM Transactions on Graphics (ToG) 36 (4), 1-13	2017
Toward low-flying autonomous MAV trail navigation using deep neural networks for environmental awareness N Smolyanskiy, A Kamenev, J Smith, S Birchfield 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …	2017
Stereo DSO: Large-scale direct sparse visual odometry with stereo cameras R Wang, M Schworer, D Cremers Proceedings of the IEEE International Conference on Computer Vision, 3903-3911	2017
Robust stereo visual inertial odometry for fast autonomous flight K Sun, K Mohta, B Pfrommer, M Watterson, S Liu, Y Mulgaonkar, ... IEEE Robotics and Automation Letters 3 (2), 965-972	2018
Deep virtual stereo odometry: Leveraging deep depth prediction for monocular direct sparse odometry N Yang, R Wang, J Stuckler, D Cremers Proceedings of the European Conference on Computer Vision (ECCV), 817-833	2018
CodeSLAM—learning a compact, optimisable representation for dense visual SLAM M Bloesch, J Czarnowski, R Clark, S Leutenegger, AJ Davison Proceedings of the IEEE conference on computer vision and pattern …	2018
Stereo magnification: Learning view synthesis using multiplane images T Zhou, R Tucker, J Flynn, G Fyffe, N Snavely arXiv preprint arXiv:1805.09817	2018
A photometrically calibrated benchmark for monocular visual odometry J Engel, V Usenko, D Cremers arXiv preprint arXiv:1607.02555	2016
DynaSLAM: Tracking, mapping, and inpainting in dynamic scenes B Bescos, JM Fácil, J Civera, J Neira IEEE Robotics and Automation Letters 3 (4), 4076-4083	2018
Keyframe-based monocular SLAM: design, survey, and future directions G Younes, D Asmar, E Shammas, J Zelek Robotics and Autonomous Systems 98, 67-88	2017
End-to-end, sequence-to-sequence probabilistic visual odometry through deep neural networks S Wang, R Clark, H Wen, N Trigoni The International Journal of Robotics Research 37 (4-5), 513-542	2018

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