DocumentCode :
1872283
Title :
4D scan registration with the SR-3000 LIDAR
Author :
Stipes, Jason A. ; Cole, John G P ; Humphreys, John
Author_Institution :
Appl. Phys. Lab., Johns Hopkins Univ., Laurel, MD
fYear :
2008
fDate :
19-23 May 2008
Firstpage :
2988
Lastpage :
2993
Abstract :
An algorithm and data management scheme is presented to utilize the data output of the SR-3000, a 3D LIDAR sensor. The SR-3000 generates a 4D point cloud at video frame rates where each point is described by its 3D coordinates and its optical intensity. The implementation of each major component of the algorithm is described, including a projective ICP algorithm, reverse calibration equations for the SR-3000 sensor, the processing of the intensity data, and a point selection algorithm which includes the use of a 3D volume feature extraction algorithm. This ICP based alignment algorithm is used in the context of a data management scheme that stores and retrieves scan data and intermediate data products to realize pseudo-global scan alignment, data compression, and real time data display.
Keywords :
data compression; feature extraction; image coding; image registration; optical radar; radar imaging; 3D LIDAR sensor; 3D volume feature extraction algorithm; 4D scan registration; SR-3000 LIDAR; data compression; data management scheme; optical intensity; point selection algorithm; projective ICP algorithm; pseudo-global scan alignment; real time data display; reverse calibration equations; video frame rates; Calibration; Clouds; Data compression; Equations; Feature extraction; Information retrieval; Iterative closest point algorithm; Laser radar; Optical sensors; Sensor phenomena and characterization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on
Conference_Location :
Pasadena, CA
ISSN :
1050-4729
Print_ISBN :
978-1-4244-1646-2
Electronic_ISBN :
1050-4729
Type :
conf
DOI :
10.1109/ROBOT.2008.4543664
Filename :
4543664
Link To Document :
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