A real-time robotic indoor 3D mapping system using duel 2D laser range finders

In this paper, we present a real-time 3D robotic indoor mapping system on a wheeled mobile robot equipped with two 2D laser range finder (LRF). We propose the fusion approach of two fixed 2D laser range finder (one horizontal and one vertical), odometers and gyroscope, to build accurate 2D and 3D maps at the same time. The two LRFs perform line-feature based SLAM in horizontal and vertical planes when the robot walking forward. Combined with the pose computed by the information of odometers and gyroscope, we achieve an accurate localization. To represent the 3D environment an octree based map is used. Mapping experiment of a 180m+ corridor was tested on an average speed of 0.5m/s without stop. The results shows the efficiency and accuracy of the 3D mapping system.

[1]  Jörg Stückler,et al.  Multi-resolution surfel mapping and real-time pose tracking using a continuously rotating 2D laser scanner , 2013, 2013 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR).

[2]  Michael Bosse,et al.  Continuous 3D scan-matching with a spinning 2D laser , 2009, 2009 IEEE International Conference on Robotics and Automation.

[3]  Karl Tuyls,et al.  OctoSLAM: A 3D mapping approach to situational awareness of unmanned aerial vehicles , 2013, 2013 International Conference on Unmanned Aircraft Systems (ICUAS).

[4]  Jianwei Zhang,et al.  A 3D simultaneous localization and mapping exploration system , 2011, 2011 IEEE International Conference on Robotics and Biomimetics.

[5]  Hugh F. Durrant-Whyte,et al.  Simultaneous localization and mapping: part I , 2006, IEEE Robotics & Automation Magazine.

[6]  Hugh Durrant-Whyte,et al.  Simultaneous localization and mapping (SLAM): part II , 2006 .

[7]  Francisco Sandoval Hernández,et al.  Feature extraction from laser scan data based on curvature estimation for mobile robotics , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[8]  Joachim Hertzberg,et al.  A 3D laser range finder for autonomous mobile robots , 2001 .

[9]  Wolfram Burgard,et al.  OctoMap: an efficient probabilistic 3D mapping framework based on octrees , 2013, Autonomous Robots.

[10]  S. M. Mavaei.  Adaptive feature extraction and mapping for mobile robots in unknown environment , 2011 .

[11]  Pablo O. Arambel,et al.  Estimation under unknown correlation: covariance intersection revisited , 2002, IEEE Trans. Autom. Control..

[12]  Yoram Koren,et al.  The vector field histogram-fast obstacle avoidance for mobile robots , 1991, IEEE Trans. Robotics Autom..

[13]  Zhiyu Xiang,et al.  Design and Calibration of a Fast 3D Scanning LADAR , 2006, 2006 International Conference on Mechatronics and Automation.

[14]  Toyomi Fujita.  3D Sensing and Mapping for a Tracked Mobile Robot with a Movable Laser Ranger Finder , 2012 .