Paper
19 May 2015 Low-SWaP coincidence processing for Geiger-mode LIDAR video
Steven E. Schultz, Noel P. Cervino, Zachary D. Kurtz, Myron Z. Brown
Author Affiliations +
Abstract
Photon-counting Geiger-mode lidar detector arrays provide a promising approach for producing three-dimensional (3D) video at full motion video (FMV) data rates, resolution, and image size from long ranges. However, coincidence processing required to filter raw photon counts is computationally expensive, generally requiring significant size, weight, and power (SWaP) and also time. In this paper, we describe a laboratory test-bed developed to assess the feasibility of low-SWaP, real-time processing for 3D FMV based on Geiger-mode lidar. First, we examine a design based on field programmable gate arrays (FPGA) and demonstrate proof-of-concept results. Then we examine a design based on a first-of-its-kind embedded graphical processing unit (GPU) and compare performance with the FPGA. Results indicate feasibility of real-time Geiger-mode lidar processing for 3D FMV and also suggest utility for real-time onboard processing for mapping lidar systems.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Steven E. Schultz, Noel P. Cervino, Zachary D. Kurtz, and Myron Z. Brown "Low-SWaP coincidence processing for Geiger-mode LIDAR video", Proc. SPIE 9465, Laser Radar Technology and Applications XX; and Atmospheric Propagation XII, 94650F (19 May 2015); https://doi.org/10.1117/12.2180991
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KEYWORDS
Field programmable gate arrays

Cameras

Mirrors

LIDAR

Sensors

Video

3D image processing

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