Hidden Markov Model as a Framework for Situational Awareness
Thyagaraju · Sciyo eBooks · 2010
In this chapter we present a hidden Markov model (HMM) based framework for situational awareness that utilizes multi-sensor multiple modality data.Situational awareness is a process that comes to a conclusion based on the events that take place over a period of time across a wide area.We show that each state in the HMM is an event that leads to a situation and the transition from one state to another is determined based on the probability of detection of certain events using multiple sensors of multiple modalities -thereby using sensor fusion for situational awareness.We show the construction of HMM and apply it to the data collected using a suite of sensors on a Packbot. How to referenceIn order to correctly reference this scholarly work, feel free to copy and paste the following: Thyagaraju Damarla (2010).Hidden Markov Model as a Framework for Situational Awareness, Sensor Fusion and its Applications, Ciza Thomas (Ed.),