Mobility
Modern mobility relies on intelligent systems capable of understanding their surroundings in real time and adapting to changing conditions such as lighting, weather, or movement. To support these demands, NeAIxt develops modular Edge‑AI technologies that work directly on a wide variety of platforms and sensors, reducing latency and energy use while increasing robustness.
Through 2 Ecosystems, NeAIxt brings these capabilities closer to the sensors, enabling smarter perception and faster decision‑making across mobility applications, from ground vehicles to lightweight aerial systems, contributing to safer, more reliable, and more sustainable transport.
Ecosystem : AI supported enhanced mobility
This Ecosystem brings together NeAIxt’s hardware and software innovations to support distributed AI in mobility systems, enabling flexible architectures that can run advanced models across diverse sensors and platforms. It focuses on demonstrating these technologies in real electric vehicles to enhance situational awareness and contribute to safer and more efficient mobility.
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STMicroelectronics Italy |
Ecosystem leader: ST‑IT provides the Edge‑AI platform and the hardware powering onboard mobility intelligence. |
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Interactive Fully Electrical Vehicules |
Use case leader: IFEVS integrates all NeAIxt technologies into real electric vehicles for full‑scale validation. |
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Universita di Catania |
UniCT develops the sensing and AI modules, creating datasets and real‑time perception models for mobility.
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Universita di Bologna |
UNIBO designs the analog in‑memory AI accelerator enabling fast, energy‑efficient edge intelligence.
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Universita di Pavia |
UNIPV develops and validates the analog/digital circuits that ensure accurate and efficient computation for mobility.
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Ecosystem : Edge-AI inference for close-to sensor data processing
This Ecosystem delivers robust, explainable and energy‑efficient AI right next to the sensors, simplifying the system by empowering low‑power edge nodes, under domain‑controller supervision, to perform real‑time processing and basic decisions in mobility.
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Institute of Microelectronic Applications |
Ecosystem leader: IMA defines requirements for real‑time processing on low‑cost/low‑power platforms, leads risk & qualification plans, and delivers an embedded‑AI demonstrator integrating sensor components, custom PCB (embedded form factor), and secured processing algorithms. |
