EGNSS-based Visual Localisation to enable AAA-PNT in small devices & applications
Background & Objectives
Satellite-based PNT is a fundamental infrastructure of the EU. Its protection and improvement are strategic, as other infrastructures – e.g., communications, energy, transport, defence or banking – depend on it. However, signals of current GNSSs are easily jammed, prone to spoofing, subject to atmospheric disturbances, affected by multipath and blockage in natural and urban canyons. This poses global risks and hinders GNSS adoption in mission- and safety-critical tasks, e.g., drone delivery, urban air mobility or autonomous vehicles. Aware of that, civilian and military authorities are promoting/deploying complementary or redundant systems, a.k.a. "augmentations”, local – e.g. aiding inertial sensors – or global – e.g., Galileo’s NMA. However, effective augmentations, local or global, that are robust, accurate and driftless are expensive.
To this end, the project EGeNiouSS will develop a cloud service based on novel multi-sensor navigation with a tightly integrated visual localisation component to overcome known GNSS issues and augment existing EGNSS services. EGeNiouSS will bring an affordable, accurate and assured positioning, navigation and timing (AAA-PNT) solution to the market in order to democratise the access to high accuracy and reliability and thus serving the professional and consumer mass markets.
The service will be accessible through a platform-independent API. During the project, the API will be integrated for smartphones and drones. With three complementary use cases, Mapping & Surveying, Bike Navigation and Drone Delivery, the entire range of the service with respect to accuracy, latency and reliability requirements will be demonstrated and validated. The development will be accompanied and driven by user and stakeholder requirements and innovative DEC measures to ensure a rapid market update. As a scalable and highly adaptive service it is easily transferable to other applications and markets, e.g. LBS, autonomous vehicles or search & rescue.