Map and Ground View Integration in UGV Systems: A Structured Observational Analysis

Abstract

Compared to natural perception, unmanned ground vehicle (UGV) operations place the human operator at a perceptual disadvantage, especially with regard to spatial comprehension and navigation. Map views using dynamic informative vehicle icons are seen as key to the efficiency of UGV mission scenarios. The recently completed ARL ADA Navigation Aides Experiment, a collaborative venture of New Mexico State University, North Carolina State University, Alion Science, and SA Technologies, provided an opportunity for observing participant behavior in UGV scenarios using various map options. Observations, anecdotal evidence, and conjectures regarding the human factors of map use in UGV interface systems are discussed.

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