Real-time 3D ladar imaging

Peter Cho; Hyrum Anderson; Robert Hatch; Prem Ramaswami

doi:10.1117/12.664904

17 May 2006 Real-time 3D ladar imaging

Peter Cho, Hyrum Anderson, Robert Hatch, Prem Ramaswami

Proceedings Volume 6235, Signal Processing, Sensor Fusion, and Target Recognition XV; 62350G (2006) https://doi.org/10.1117/12.664904
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

A prototype image processing system has recently been developed which generates, displays and analyzes threedimensional ladar data in real time. It is based upon a suite of novel algorithms that transform raw ladar data into cleaned 3D images. These algorithms perform noise reduction, ground plane identification, detector response deconvolution and illumination pattern renormalization. The system also discriminates static from dynamic objects in a scene. In order to achieve real-time throughput, we have parallelized these algorithms on a Linux cluster. We demonstrate that multiprocessor software plus Blade hardware result in a compact, real-time imagery generation adjunct to an operating ladar. Finally, we discuss several directions for future work, including automatic recognition of moving people, real-time reconnaissance from mobile platforms, and fusion of ladar plus video imagery. Such enhancements of our prototype imaging system can lead to multiple military and civilian applications of national importance.

Citation Download Citation

Peter Cho, Hyrum Anderson, Robert Hatch, and Prem Ramaswami "Real-time 3D ladar imaging", Proc. SPIE 6235, Signal Processing, Sensor Fusion, and Target Recognition XV, 62350G (17 May 2006); https://doi.org/10.1117/12.664904

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