When AI Meets GNSS: The Future of Intelligent Navigation Systems скачать в хорошем качестве

When AI Meets GNSS: The Future of Intelligent Navigation Systems

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