Locating devices in indoor environments has become a key issue for many emerging location‐based applications and intelligent spaces in different fields. However, there is no overall easy solution today. Although no large‐scale deployment of such location systems is available yet, this strategic topic is called to lead technological innovations of great impact on the daily activities of people in the coming years, in areas such as healthy and independent living, leisure, security, etc.
Topics in the area include, among others, 5G positioning; algorithms for wireless sensor networks; applications of location awareness and context detection; benchmarking, assessment, evaluation, standards, interoperability, and research reproducibility; data compression, data augmentation, and generative modeling in indoor positioning; health and wellness applications; human motion monitoring and modeling; indoor maps, indoor spatial data models, indoor mobile mapping, and 3D building models; indoor positioning, navigation, and tracking methods (such as AOA, TOF, TDOA based localization, cooperative, machine learning systems, frameworks for hybrid positioning, hybrid IMU pedestrian navigation and foot mounted navigation, magnetic field based methods, mapping, SLAM, optical systems, RFID, radar, device-free systems, routing in indoor environments, signal strength based methods, fingerprinting, ultrasound systems, UWB); privacy and security for indoor location systems; robotics and UAV; high-sensitivity GNSS, indoor GNSS, pseudolites; industrial metrology and geodetic systems; IGPS self-contained sensors; user requirements for location-based systems; visible light positioning; wearable and multisensor systems; and wireless power transfer system for localization.
Prof. Dr. Antoni Perez-Navarro
Dr. Raúl Montoliu
Dr. Joaquín Torres-Sospedra