Design and Performance Evaluation of an Algorithm Based on Source Term Estimation for Odor Source Localization
Finding sources of airborne chemicals with mobile sensing systems finds applications across safety, security, environmental monitoring, and medical domains.In this paper, we present an algorithm based on Source Term Estimation for odor source localization that is coupled with a navigation method based on partially observable Markov decision process