Design of an indoor mapping system using three 2D laser scanners and 6 DOF SLAM

We present the design for a new indoor mapping system based on three 2D laser scanners as well as a method to process the range measurements such that the pose of the system and the planes of floor, ceiling and walls can be estimated simultaneously. By the combined use of the measurements of all three scanners the pose of the system can be reconstructed in 3D without the need for an IMU. The six pose parameters are modelled as a continuous function over time such that scan line deformations caused by rapid scanner movements do not lead to biases in the estimated poses. The theoretical feasibility of the approach is demonstrated by analysing reconstruction results derived from simulated sensor data of two indoor models. Assuming a perfectly calibrated sensor and ranging noise of 3 cm, the results on data in 10x20 m corridor show that the plane orientation precision is better than 0.1 degree and that the standard deviation of plane-to-plane distances is below 1.5 cm after three loops in the corridor.

[1]  Avideh Zakhor,et al.  Indoor Localization Algorithms for a Human-Operated Backpack System , 2010 .

[2]  Joachim Hertzberg,et al.  Globally consistent 3D mapping with scan matching , 2008, Robotics Auton. Syst..

[3]  Evangelos E. Milios,et al.  Robot Pose Estimation in Unknown Environments by Matching 2D Range Scans , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[4]  Jan Boehm,et al.  MOBILE LASER SCANNING FOR INDOOR MODELLING , 2013 .

[5]  Avideh Zakhor,et al.  Image augmented laser scan matching for indoor dead reckoning , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[6]  Michael F. Worboys,et al.  Modeling indoor space , 2011, ISA '11.

[7]  Sebastian Thrun,et al.  Robotic mapping: a survey , 2003 .

[8]  Sebastian Thrun,et al.  Probabilistic Terrain Analysis For High-Speed Desert Driving , 2006, Robotics: Science and Systems.

[9]  J. Höhle.  ASSESSMENT OF THE THEMATIC ACCURACY OF LAND COVER MAPS , 2015 .

[10]  Andreas Nüchter,et al.  A Study of Scan Patterns for Mobile Mapping , 2013 .

[11]  Qing Zhu,et al.  Problems in indoor mapping and modelling , 2013 .

[12]  Dieter Fox,et al.  RGB-D Mapping: Using Depth Cameras for Dense 3D Modeling of Indoor Environments , 2010, ISER.

[13]  Michael Bosse,et al.  Zebedee: Design of a Spring-Mounted 3-D Range Sensor with Application to Mobile Mapping , 2012, IEEE Transactions on Robotics.

[14]  Tom Duckett,et al.  3D modeling of indoor environments by a mobile robot with a laser scanner and panoramic camera , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).