Towards Indoor Navigation Under Imprecision

Indoor navigation systems help people to navigate through indoor environments. Conventional models of indoor navigation commonly assume that a navigator’s location can be precisely determined. However, the limitations of indoor positioning systems as well as personal privacy constraints mean it is not always possible to determine individual’s position precisely. This paper proposes an approach to developing new algorithms and tools for enabling indoor navigation under imprecision.