Closed-loop Bayesian Semantic Data Fusion for Collaborative Human-Autonomy Target Search
FUSION, pp. 2262-2269, 2018.
In search applications, autonomous unmanned vehicles must be able to efficiently reacquire and localize mobile targets that can remain out of view for long periods of time in large spaces. As such, all available information sources must be actively leveraged - including imprecise but readily available semantic observations provided by hum...More
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