TERRESTRIAL LASER SCANNING TO SUPPORT LAND NAVIGATION

GPS/INS integrated georeferencing systems are unable to continuously provide highly accurate navigation in urban and forested regions due to limited availability of the GPS signal and the error accumulation of the INS sensor. Terrestrial Laser Scanning (TLS) is a powerful technology that can rapidly map the object space at high spatial resolution with outstanding accuracy. Therefore, if an area is repeatedly mapped by TLS from different locations, the sensor pose changes can be determined based on the common object space. Consequently, GPS/INS/TLS integration offers a possibility to maintain navigation in GPS-challenged areas. Finding correspondence between two TLS scans, however, depends a lot on the properties of the object space. To simplify the surface matching process and improve the matching accuracy, spherical objects could be placed in the navigation area to be used as common targets. This paper introduces a method to support relative navigation of a TLS sensor that includes sphere extraction, positioning, and matching. Simulated data with various noise levels and occlusions were used to initially estimate the performance of the method. Later a prototype GPS/INS/TLS sensor system installed on a vehicle collected test data in an area where basketballs were placed on the ground as targets. Preliminary results have confirmed that the center of basketballs can be determined at millimeter precision, and thus the accurate position and attitude data can provide fixes for an INS sensor to maintain accurate navigation in a GPS-challenged environment (not discussed in this paper).

[1]  Gérard G. Medioni,et al.  Object modelling by registration of multiple range images , 1992, Image Vis. Comput..

[2]  Paul J. Besl,et al.  A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  Martial Hebert,et al.  Efficient multiple model recognition in cluttered 3-D scenes , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

[4]  Andrew E. Johnson,et al.  Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  Guido M. Cortelazzo,et al.  Automatic 3D modeling of textured cultural heritage objects , 2004, IEEE Transactions on Image Processing.

[6]  A. Gruen,et al.  Least squares 3D surface and curve matching , 2005 .

[7]  Mathieu Joerger,et al.  Range-Domain Integration of GPS and Laser-scanner Measurements for Outdoor Navigation , 2006 .

[8]  M. Smearcheck,et al.  Flash-LADAR Inertial Navigator Aiding , 2006, 2006 IEEE/ION Position, Location, And Navigation Symposium.

[9]  George Vosselman,et al.  An integrated approach for modelling and global registration of point clouds , 2007 .

[10]  Andrey Soloviev,et al.  Tight Coupling of Laser Scanner and Inertial Measurements for a Fully Autonomous Relative Navigation Solution , 2007 .

[11]  Maarten Uijt de Haag,et al.  Aerial Vehicle Navigation Over Unknown Terrain Environments using Flash LADAR and Inertial Measurements , 2007 .

[12]  Philip J. Radtke,et al.  Multiview range-image registration for forested scenes using explicitly-matched tie points estimated from natural surfaces , 2008 .

[13]  C. Rizos,et al.  Novel geolocation technology for geophysical sensors for detection and discrimination of unexploded ordnance , 2008, 2008 IEEE/ION Position, Location and Navigation Symposium.

[14]  C. Toth,et al.  INTEGRATION OF TERRESTRIAL LASER SCANNER FOR GROUND NAVIGATION IN GPS-CHALLENGED ENVIRONMENTS , 2008 .