Photonic integrated circuits embed complex optical systems in compact chips manufactured in semiconductor foundries. The availability of high-speed modulation, ultra-low propagation losses, and discovery of the optical microcomb have revolutionized many aspects of integrated photonics in the last 15 years. In particular, new applications in microwave photonics by translating electronic signals to…

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The main objective of this activity is to investigate innovative navigation algorithms exploiting FGO, both for a standalone GNSS unit and in combination with other sensors (INS), and for different receiver grades (including high- and low-quality modules). The activity will benchmark both the potential accuracy improvement and the computational cost of the proposed algorithms (in view of realtime…

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Some of the greatest challenges that connected and automated ground vehicles face are safe path planning, navigation, self-localisation and positioning. This includes the system being able to reason about its environment and decide which path to take or being able to re-plan should the initial path present obstacles or traffic.  JLR aims to develop a testbed capable of testing a Factor Graph…

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The main objective of the project is to assess the utilization of Factor Graph Optimization (FGO) for GNSS-based (Global Navigation Satellite Systems) positioning, navigation, and timing (PNT) determination. This picks up on recent research suggesting that the results from FGO are superior to those of conventional Bayes filters. As the basis for the evaluation, an FGO-based navigation engine and a…

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Factor graph optimization is gaining attention from the community as is outperforming traditional positioning algorithms. Factor graph optimization may be used to replace the traditional Weighted Least Square (WLS) or Kalman Filter (KF)-based solutions, both in stand-alone and hybrid positioning solutions in combination with sensors. Thus, its application may be of interest for the derivation of…

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Positioning, Navigation, and Timing are essential for modern infrastructure, including transportation, agriculture, and space applications. Thanks to developments in GNSS, particularly the European Galileo system, navigation devices are now ubiquitous, with smartphones serving as multi-sensor platforms. However, high-quality positioning solutions are not always guaranteed due to weak GNSS signals,…

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The INSPIRE project aims to design, develop, and validate a novel GNSS-based positioning architecture tailored for challenging environments such as urban canyons and deep-urban areas. The project leverages meta-signal processing, peer-to-peer ranging, and hybrid positioning to improve accuracy, robustness, and availability of GNSS-based solutions in scenarios where traditional positioning systems…

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The main purpose of this activity is to evaluate – through simulations and modelling – how the use of quantum sensors can benefit PNT systems. To meet this overall purpose, the following study objectives can be derived:  Design and develop sensor models that can provide representative measurements for quantum sensors,  Integrate those sensor models within a simulation environment…

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The VAIPOSA project aims to develop innovative methodologies for designing and implementing Positioning, Navigation, and Timing (PNT) components using AI and machine learning (ML), while ensuring safety, robustness, and resilience. It employs a realistic road environment simulator where an autonomous agent with an AI-based PNT system must adapt to changing conditions. The project enhances…

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The EPIC aims to address to develop algorithms and a SW simulator for combined usage of GNSS, LEO-PNT  and 5G terrestrial transmitters to achieve high precision PPP-IAR solutions even in urban environments.  The drivers for this activity are:  ▪ Usage of alternative-PNT (LEO-PNT, 5G) means, in case GNSS is partially or fully not available ▪ Usage of additional-PNT (LEO-PNT, 5G) means…

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