A Ubiquitous and Accurate Floor Estimation System Using Deep Representational Learning
Hamada Rizk, Hirozumi Yamaguchi, Teruo Higashino, Moustafa Youssef
Abstract
Location-based services have undergone massive improvements over the last decade. Despite intense efforts in industry and academia, a pervasive infrastructure-free localization is still elusive. Towards making this possible, cellular-based systems have recently been proposed due to the wide-spread availability of the cellular networks and their support by commodity cellphones. However, these systems only consider locating the user in a 2D single floor environment, which reduces their value when used in multi-story buildings.
Topics & Concepts
Computer scienceCommodityDeep learningUbiquitous computingHuman–computer interactionArtificial intelligenceDistributed computingComputer securityData scienceBusinessFinanceIndoor and Outdoor Localization TechnologiesSpeech and Audio ProcessingRobotics and Sensor-Based Localization