Localization in indoor environments often requires expensive infrastructure that has to be maintained. One infrastructure-less method that can be used for distinguishing different rooms relies on measurements from ion-mobility spectrometry-based electronic noses (eNoses). These eNoses mimic the biological sense of smell and are widely used in artificial olfaction. In this talk we will show that it is possible to use eNoses also for localization. This means, that the characteristic combinations of airborne chemicals in different locations are used to distinguish between them. We will explain the working principle of ion-mobility spectrometry-based eNoses and how it can be used for positioning. The positioning accuracy of several machine learning algorithms under different measurement conditions will be presented and analyzed. Furthermore, potential questions and issues of eNose-based localization will be discussed, and potential solutions proposed.
International Workshop on Navigation and Motion Control 2019