Paper
29 April 2010 The application of iterative closest point (ICP) registration to improve 3D terrain mapping estimates using the flash 3D ladar system
Jack Woods, Ernest E. Armstrong, Walter Armbruster, Richard Richmond
Author Affiliations +
Abstract
The primary purpose of this research was to develop an effective means of creating a 3D terrain map image (point-cloud) in GPS denied regions from a sequence of co-bore sighted visible and 3D LIDAR images. Both the visible and 3D LADAR cameras were hard mounted to a vehicle. The vehicle was then driven around the streets of an abandoned village used as a training facility by the German Army and imagery was collected. The visible and 3D LADAR images were then fused and 3D registration performed using a variation of the Iterative Closest Point (ICP) algorithm. The ICP algorithm is widely used for various spatial and geometric alignment of 3D imagery producing a set of rotation and translation transformations between two 3D images. ICP rotation and translation information obtain from registering the fused visible and 3D LADAR imagery was then used to calculate the x-y plane, range and intensity (xyzi) coordinates of various structures (building, vehicles, trees etc.) along the driven path. The xyzi coordinates information was then combined to create a 3D terrain map (point-cloud). In this paper, we describe the development and application of 3D imaging techniques (most specifically the ICP algorithm) used to improve spatial, range and intensity estimates of imagery collected during urban terrain mapping using a co-bore sighted, commercially available digital video camera with focal plan of 640×480 pixels and a 3D FLASH LADAR. Various representations of the reconstructed point-clouds for the drive through data will also be presented.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jack Woods, Ernest E. Armstrong, Walter Armbruster, and Richard Richmond "The application of iterative closest point (ICP) registration to improve 3D terrain mapping estimates using the flash 3D ladar system", Proc. SPIE 7684, Laser Radar Technology and Applications XV, 76840N (29 April 2010); https://doi.org/10.1117/12.849724
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Cited by 7 scholarly publications.
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KEYWORDS
LIDAR

3D image processing

Image registration

Cameras

Clouds

Global Positioning System

Algorithm development

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