Abstract--Many efforts are centered around creating largescale networks of "smart things" found in the physical world (e.g., wireless sensor and actuator networks, embedd...
ys when planning meant searching for a sequence of abstract actions that satisfied some symbolic predicate. Robots can now learn their own representations through statistical infe...
Vehicular sensor networks (VSNs) provide a collaborative sensing environment where mobile vehicles equipped with sensors of different nature (from chemical detectors to still/video...
Uichin Lee, Eugenio Magistretti, Mario Gerla, Paol...
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a person’s activities and signi...
As a tool for mitigating the potential privacy risks of gathering and transmitting location information on the Web, we suggest in this paper a model for conveying location informa...