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Proceedings Paper

Safe Operations of Unmanned Systems for Reconnaissance in Complex Environments Army Technology Objective (SOURCE ATO)
Author(s): Norbert J. Kott; Mike Wellfare; Tracy K. van Lierop; Edward Mottern
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Paper Abstract

This paper examines the systems, hardware, and software engineering efforts required to overcome the challenges of operating autonomously around dynamic objects in complex environments. To detect these dynamic objects, the SOURCE ATO will utilize ARL/GDRS developed moving obstacle detection algorithms that will run on the Autonomous Navigation System (ANS) hardware.1 These algorithms use data from multiple sensors including laser detection and ranging (LADAR), Electro-optic, and Millimeter-Wave Radar (MMWR) to produce detections. This limits erroneous identifications that occur when using only one sensor. This paper describes co-development of Safe Operation Technologies between the SOURCE ATO and the ANS development program. This approach allows a more rapid development cycle, which will enable both current and future ground combat vehicle systems the flexibility to readily adopt emerging software, process hardware, and sensor technologies.

Paper Details

Date Published: 12 May 2011
PDF: 8 pages
Proc. SPIE 8045, Unmanned Systems Technology XIII, 804502 (12 May 2011); doi: 10.1117/12.885762
Show Author Affiliations
Norbert J. Kott, U.S. Army Tank Automotive Research, Development and Engineering Ctr. (United States)
Mike Wellfare, General Dynamics Robotic Systems (United States)
Tracy K. van Lierop, General Dynamics Robotic Systems (United States)
Edward Mottern, General Dynamics Robotic Systems (United States)


Published in SPIE Proceedings Vol. 8045:
Unmanned Systems Technology XIII
Douglas W. Gage; Charles M. Shoemaker; Robert E. Karlsen; Grant R. Gerhart, Editor(s)

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