Soft Data Fusion of Categorical Crowdsourced Data and its Application to Urban Situation Assessment

Abstract

Conventional “hard” sensing in urban spaces is challenged by the complexity of the environment, creating gaps in situation assessment and possible confusion due to data association errors. Crowdsourced “soft” reports from human observers may remedy this problem but require techniques for fusing hard and soft data. This paper describes an experimental… (More)

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