Paper
12 May 2011 Safe Operations of Unmanned Systems for Reconnaissance in Complex Environments Army Technology Objective (SOURCE ATO)
Norbert J. Kott III, Mike Wellfare, Tracy K. van Lierop, Edward Mottern
Author Affiliations +
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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Norbert J. Kott III, Mike Wellfare, Tracy K. van Lierop, and Edward Mottern "Safe Operations of Unmanned Systems for Reconnaissance in Complex Environments Army Technology Objective (SOURCE ATO)", Proc. SPIE 8045, Unmanned Systems Technology XIII, 804502 (12 May 2011); https://doi.org/10.1117/12.885762
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KEYWORDS
Sensors

LIDAR

Computing systems

Algorithm development

Computer simulations

Commercial off the shelf technology

Roads

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