WP2 addressed the direct link between future urban mobility requirements and positioning technologies and their required economic models and the integration of location information in crisis management at all stages of the crisis lifecycle. Some of the main outcomes of involve: - Definitions and evaluations of the current positioning technologies in urban environments; - Assessment of typology of urban mobility location requirements today and in 2020; - User surveys on Location Based Services (LBS); - Assessment of up-to-date evaluations of current LBS markets, business models, value chains and related issues such as privacy and social implications; - Enhanced Location Based Services proposed for risk and crisis management; - Study, characterization and modeling of harsh environment scenarios and user cases specifications.
Topic: Location techniques, ecosystem and business model for 2020 urban mobility
Topic: Deriving knowledge and social benefits from mass mobile network user data
Topic: Developing markets for location based services LinkedIn
Topic: Location Integration In Crisis Management Lifecycle
Topic: Advanced Assistance Services Of High Performance In Harsh Environments
WP3 focused on the development of cognitive positioning methodology for achieving more ubiquitous location information for the use in location-based services and applications, by exploiting the physical wireless and other sensing technologies. This has included the identification and analysis of the semantic needs of novel positioning applications and the primitive services provided by the current positioning infrastructure, as well as building proof-of-concept hardware prototypes for combining satellite, terrestrial wireless, and other position sensing information in a cognitive manner. A few of the main outcomes of WP3 are: - Assessment of the state-of-the art of cognitive radio prototype architectures for positioning; - Identification of technical requirements and design of cognitive radio prototype architectures for positioning; - Novel algorithms developed for cognitive acquisition methods of satellite and terrestrial positioning signals; - Analysis of the business and technology application scenarios for the semantic positioning; - Semantic positioning framework demonstration; - Development of new algorithms, methods and results in flexible sensor integration.
Topic: Cognitive Prototyping Platforms
Topic: ognitive methods for positioning and communications
Topic: Interference Mitigation Techniques
Topic: Cognitive methods for positioning and communications
Topic: Adaptive Flexible Sensor Integration For Indoor Location
WP4 tackled methods for simultaneous vector tracking of signals from multiple GNSS systems, techniques for exploiting new wireless signals for positioning purposes, novel integrity concepts in limiting scenarios when the exact information sources are dynamically changing, such as urban and indoors and methods to extract and exploit context-aware information. In addition, indoor and hybrid location methods have been addressed through simulations and theoretical studies, as well as through real-field performance analysis and testing. Some of the main outcomes of WP4 have been: - Integration and analysis of multi-constellation GNSS signals (multi-GNSS) both via simulations and measurements; - Novel algorithms developed for relevant Signals of Opportunity (SoO) signal identification and selection; - Algorithms and software implementation for SoO positioning; - Novel algorithms for interference detection and mitigation; - Development and analysis of methods to design a signal with communication and positioning capabilities; - Urban GNSS signal integrity monitoring in urban environment.
Topic: Large Scale Data Analytics For GNSS
Topic: Signals Of Opportunity
Topic: GNSS Integrity Monitoring In Urban Environment
Topic: Multi GNSS Positioning
Topic: Initial studies on integration of GNSS/INS/FishEye Camera for Urban Positioning
Topic: Hybrid Positioning/Communication Solutions And Signal-Level Integrity LinkedIn
Topic: Integration of GNSS/INS/FishEye Camera for Urban Positioning