Accurate Map-Based RGB-D SLAM for Mobile Robots
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[1] Daniel Cremers,et al. Robust odometry estimation for RGB-D cameras , 2013, 2013 IEEE International Conference on Robotics and Automation.
[2] Piotr Skrzypczynski,et al. Precise self-localization of a walking robot on rough terrain using parallel tracking and mapping , 2013, Ind. Robot.
[3] Ethan Rublee,et al. ORB: An efficient alternative to SIFT or SURF , 2011, 2011 International Conference on Computer Vision.
[4] Paul Newman,et al. Accelerating FAB-MAP With Concentration Inequalities , 2010, IEEE Transactions on Robotics.
[5] Dieter Fox,et al. RGB-D mapping: Using Kinect-style depth cameras for dense 3D modeling of indoor environments , 2012, Int. J. Robotics Res..
[6] Andrew J. Davison,et al. A benchmark for RGB-D visual odometry, 3D reconstruction and SLAM , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[7] Michal R. Nowicki,et al. On the Performance of Pose-Based RGB-D Visual Navigation Systems , 2014, ACCV.
[8] G. Klein,et al. Parallel Tracking and Mapping for Small AR Workspaces , 2007, 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality.
[9] Daniel Cremers,et al. Submap-Based Bundle Adjustment for 3D Reconstruction from RGB-D Data , 2014, GCPR.
[10] Andreas Zell,et al. Efficient onbard RGBD-SLAM for autonomous MAVs , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[11] Kurt Konolige,et al. Double window optimisation for constant time visual SLAM , 2011, 2011 International Conference on Computer Vision.
[12] Wolfram Burgard,et al. 3-D Mapping With an RGB-D Camera , 2014, IEEE Transactions on Robotics.
[13] Michal R. Nowicki,et al. Combining photometric and depth data for lightweight and robust visual odometry , 2013, 2013 European Conference on Mobile Robots.
[14] Piotr Skrzypczynski,et al. The importance of measurement uncertainty modelling in the feature-based RGB-D SLAM , 2015, 2015 10th International Workshop on Robot Motion and Control (RoMoCo).
[15] Luc Van Gool,et al. Speeded-Up Robust Features (SURF) , 2008, Comput. Vis. Image Underst..
[16] Carlo Tomasi,et al. Good features to track , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[17] Hirochika Inoue,et al. Using visual odometry to create 3D maps for online footstep planning , 2005, 2005 IEEE International Conference on Systems, Man and Cybernetics.
[18] John J. Leonard,et al. Robust real-time visual odometry for dense RGB-D mapping , 2013, 2013 IEEE International Conference on Robotics and Automation.
[19] Óscar Martínez Mozos,et al. A comparative evaluation of interest point detectors and local descriptors for visual SLAM , 2010, Machine Vision and Applications.
[20] Andrew W. Fitzgibbon,et al. Bundle Adjustment - A Modern Synthesis , 1999, Workshop on Vision Algorithms.
[21] Luigi di Stefano,et al. SlamDunk: Affordable Real-Time RGB-D SLAM , 2014, ECCV Workshops.
[22] S. Umeyama,et al. Least-Squares Estimation of Transformation Parameters Between Two Point Patterns , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[23] Wolfram Burgard,et al. G2o: A general framework for graph optimization , 2011, 2011 IEEE International Conference on Robotics and Automation.
[24] Wolfram Burgard,et al. A benchmark for the evaluation of RGB-D SLAM systems , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[25] Giorgio Grisetti,et al. Robust optimization of factor graphs by using condensed measurements , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.