Organizers:
Paolo Dabove, Politecnico di Torino, Italy
Vincenzo Di Pietra, Politecnico di Torino, Italy
Neil Gogoi, Politecnico di Torino, Italy
Rationale:
With the release of Android-based raw GNSS measurements Android API 24 onwards, research into positioning and navigation algorithms in embedded ultra-low-cost mass market chipsets of smartphones and wearables increased manifold. New chipsets supporting dual frequency and multi-constellation GNSS signals are reducing the gap between high-grade and mass-market device performances. GNSS market reports over the last decade have consistently indicated the growth and dominance of the low and ultra-low-cost GNSS receiver market, with smartphones and wearables contributing overwhelmingly to the Consumer Solutions, Tourism and Health sectors, which accounts for 90% of all global annual GNSS receiver shipments.
Modern smartphones and wearables are now equipped with an impressive range of sensors, including standard ones like accelerometers, gyroscopes, magnetometers, and barometers, as well as advanced technologies such as LiDAR and, notably, UWB (Ultra-Wideband) chipsets. These UWB chipsets are particularly remarkable for their high precision and resilience against interference and multipath effects due to their unique impulsive signal structure. Additionally, opportunistic sensors such as cameras and Bluetooth expand the device’s sensing capabilities. In wearables, the compact form factor and proximity to the human body offer unique advantages for real-time monitoring and positioning applications. Complementing GNSS advancements, the integration of UWB in smartphones, along with Android libraries designed to access and utilize this data, opens new opportunities for robust, accurate, and seamless positioning, with a plethora of advancements and research made by researchers and the industry across the world.
The scope of the session spans multiple areas, including GNSS augmentation, sensor fusion, and hybrid positioning systems in smartphones. We invite papers related but not limited to the following topics, within the smartphone/wearable context:
- Multi-sensor systems and advanced estimation techniques;
- Specification, characterization, and evaluation of sensors;
- Usage of signals-of-opportunity;
- GNSS, Wi-Fi, Ultra-wide Band (UWB), 5G, Bluetooth iBeacons, etc.;
- Vision-based positioning;
- LiDAR, UWB and GNSS integration for Precise positioning
- Inertial MEMS-based sensors positioning and their integration;
- Localization in deep urban canyons;
- SLAM;
- Seamless positioning in smartphones;
- Artificial intelligent techniques in smartphone localization;
- Energy-efficient positioning strategies in smartphones;