NDLI: GPU-accelerated Computation of 3D Laser Radar Range Imaging of Arbitrary Coarse Targets

Content Provider	IEEE Xplore Digital Library
Author	Jiaxuan Lin Zhensen Wu Xiang Su Jiaji Wu Biao Wang Yunhua Cao
Copyright Year	2012
Abstract	We report here a backscattering model of average signal power function (SPF) for laser radar 3D range imagery obtained by arrays of detectors for arbitrary coarse targets. The model relates the average power seen by the receiver with laser pulse, target shape, optical scattering properties of surface material, incidence angle and other factors. The optical scattering property of the material is characterized by bidirectional reflectance distribution function (BRDF). The model can be used for demonstration of 3D laser radar system and can also be used to generate library of model data sets for automatic target recognition (ATR). Finally, Compute Unified Device Architecture (CUDA) is introduced for parallelizing these algorithms. The acceleration reaches 56 times speedup on single Fermi-generation NVIDIA GTX 480 as compared to the traditional CPU version of code on Intel i7 930 CPU.
Starting Page	868
Ending Page	872
File Size	519205
Page Count	5
File Format	PDF
ISBN	9781467345651
ISSN	15219097
e-ISBN	9780769549033
DOI	10.1109/ICPADS.2012.142
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-17
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Laser radar Laser modes Graphics processing units Radar imaging Detectors Power lasers parallel computing Image analysis Backscattering Lasers compute unified device architecture (CUDA)
Content Type	Text
Resource Type	Article
Subject	Hardware and Architecture

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