RGB-D Sensor-based vSLAM in Indoor Environment
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[1] Andrew W. Fitzgibbon,et al. KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera , 2011, UIST.
[2] Zhang Liang Shen PeiYi Xiao xiao. An In-depth Analysis of the SLAM Algorithm; the Sparse Extended Information Filter , 2011 .
[3] Sebastian Thrun,et al. FastSLAM 2.0: An Improved Particle Filtering Algorithm for Simultaneous Localization and Mapping that Provably Converges , 2003, IJCAI.
[4] Chen Xiang-zhang,et al. Map Building Algorithm with High-precision Measurement Based on UFastSLAM , 2012 .
[5] Wolfram Burgard,et al. G2o: A general framework for graph optimization , 2011, 2011 IEEE International Conference on Robotics and Automation.
[6] Dieter Fox,et al. RGB-D Mapping: Using Depth Cameras for Dense 3D Modeling of Indoor Environments , 2010, ISER.
[7] Oliver Birbach,et al. Experiences in building a visual SLAM system from open source components , 2011, 2011 IEEE International Conference on Robotics and Automation.
[8] Wolfram Burgard,et al. An evaluation of the RGB-D SLAM system , 2012, 2012 IEEE International Conference on Robotics and Automation.
[9] Morgan Quigley,et al. ROS: an open-source Robot Operating System , 2009, ICRA 2009.
[10] Ana Cristina Murillo,et al. SURF features for efficient robot localization with omnidirectional images , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.
[11] Robert C. Bolles,et al. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.