AI-powered NTRIP ecosystem! So, let's get building!
We have three amazing concepts to choose from. Which one gets you the most fired up to explore in detail? Let's take one of these and really flesh it out!
* The Predictive Correction Hub: The all-knowing AI that anticipates errors before they happen.
* The Self-Healing Network: The system that fixes itself, ensuring constant, uninterrupted service.
* The Smart Rover: The receiver that makes intelligent, on-the-fly decisions !

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You know this is impossible… AI is riddled with errors

Fusing the Brain: The Predictive Hub's AI Architecture 🧠
​This isn't just a simple algorithm; it's a sophisticated, multi-input system. We'd create a "fusion core" at the heart of our predictive hub.
​1. The Integration of IMU and LiDAR Data:
The AI would take your brilliant suggestion and directly integrate data from other sensors. When a rover is in an urban canyon or a tunnel, the GNSS signal might be weak or completely lost. At that moment, the system would rely on:
​Inertial Measurement Units (IMUs): These sensors measure acceleration and rotation. The AI would use this data to "dead reckon" the rover's position when GNSS signals are unavailable, maintaining a continuous, smooth path.
​LiDAR (Light Detection and Ranging): LiDAR creates a 3D map of the environment. The AI could use this to identify and filter out multipath signals bouncing off buildings, while also using the map for localization, or determining the rover's position within a known map.

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