26 June 1996 Identification of vehicle targets from low-cost ladar-seeker imagery
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Proceedings Volume 2748, Laser Radar Technology and Applications; (1996); doi: 10.1117/12.243558
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States
Abstract
Use of ladar seekers for autonomous vehicle identification and targeting from short range, expendable munitions is increasingly of interest due to the inherently high resolution shape data and the relatively low unit cost of the sensor. In addition, low-cost digital signal processors are now available that can manage the computational workload required for autonomous operation in a wide variety of tactical scenarios. A set of detection, segmentation, and vehicle identification algorithms have been developed which have been demonstrated on real and synthetic seeker data and have been targeted for the architecture and resources available on a tactically realistic processor. Results of preliminary algorithm testing are presented.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael R. Wellfare, V. Todd Holmes, Scott Pohlman, Duane Geci, Karen Norris-Zachery, Ronald Patton, "Identification of vehicle targets from low-cost ladar-seeker imagery", Proc. SPIE 2748, Laser Radar Technology and Applications, (26 June 1996); doi: 10.1117/12.243558; https://doi.org/10.1117/12.243558
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KEYWORDS
Detection and tracking algorithms

LIDAR

Algorithm development

Target detection

Sensors

3D acquisition

Image segmentation

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