Positioning and Navigation Using Machine Learning Methods (Hardcover)

Chapter 1. Introduction.- Chapter 2. Indoor localization using ranging model constructed with BP neural network.- Chapter 3. Classification of signal propagation channel using CNN and wavelet packet analysis.- Chapter 4. Semi supervised indoor localization.- Chapter 5. Unsupervised learning for practical indoor localization.- Chapter 6. Deep learning based PDR localization using smartphone sensors and GPS data.- Chapter 7. Deductive reinforcement learning for vehicle navigation.- Chapter 8. Privacy preserving aggregation for federated learning based navigation.- Chapter 9. Learning enhanced INS/GPS integrated navigation.- Chapter 10. UAV localization using deep supervised learning and reinforcement learning.- Chapter 11. Learning based UAV path planning with collision avoidance.- Chapter 12. Learning assisted navigation for planetary rovers.- Chapter 13. Improved planetary rover localization using slip based autonomous ZUPT.