The enhanced situational awareness via road sign recognition (ESARR) system provides vehicle position estimates in the
absence of GPS signal via automated processing of roadway fiducials (primarily directional road signs). Sign images are
detected and extracted from vehicle-mounted camera system, and preprocessed and read via a custom optical character
recognition (OCR) system specifically designed to cope with low quality input imagery. Vehicle motion and 3D scene
geometry estimation enables efficient and robust sign detection with low false alarm rates. Multi-level text processing
coupled with GIS database validation enables effective interpretation even of extremely low resolution low contrast sign
images. In this paper, ESARR development progress will be reported on, including the design and architecture, image
processing framework, localization methodologies, and results to date. Highlights of the real-time vehicle-based
directional road-sign detection and interpretation system will be described along with the challenges and progress in
overcoming them.
To facilitate interoperability of models in a scalable environment, and provide a relevant virtual environment in which Survivability technologies can be evaluated, the US Army Research Development and Engineering Command (RDECOM) Modeling Architecture for Technology Research and Experimentation (MATREX) Science and Technology Objective (STO) program has initiated the Survivability Thread which will seek to address some of the many technical and programmatic challenges associated with the effort. In coordination with different Thread customers, such as the Survivability branches of various Army labs, a collaborative group has been formed to define the requirements for the simulation environment that would in turn provide them a value-added tool for assessing models and gauge system-level performance relevant to Future Combat Systems (FCS) and the Survivability requirements of other burgeoning programs. An initial set of customer requirements has been generated in coordination with the RDECOM Survivability IPT lead, through the Survivability Technology Area at RDECOM Tank-automotive Research Development and Engineering Center (TARDEC, Warren, MI). The results of this project are aimed at a culminating experiment and demonstration scheduled for September, 2006, which will include a multitude of components from within RDECOM and provide the framework for future experiments to support Survivability research. This paper details the components with which the MATREX Survivability Thread was created and executed, and provides insight into the capabilities currently demanded by the Survivability faculty within RDECOM.
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