When AI Meets GNSS: The Future of Intelligent Navigation Systems

Описание: Artificial Intelligence is transforming Global Navigation Satellite Systems (GNSS) from smartphones to autonomous vehicles and aerospace systems.


This talk covers:
– Challenges of traditional GNSS and Kalman filtering
– Deep learning for multipath detection and signal correction
– AI-based fusion of GNSS with inertial and vision sensors
– Factor Graph Optimization and graph neural networks in navigation
– Real datasets, metrics, and the road toward intelligent receivers

Whether you’re a researcher, engineer, or student interested in localization, AI, or sensor fusion, this session provides an in-depth, technical look at how data-driven algorithms are shaping the future of global navigation.

🔗 Chapters (timestamps):
0:00 Introduction
2:00 GNSS fundamentals and limitations
5:30 Rise of AI in navigation
9:00 Deep learning for sensor fusion
13:00 Factor Graph Optimization and neural models
16:30 Datasets, evaluation, and open challenges
19:00 Conclusion and future directions