03629nam a22005415i 4500 978-981-97-6199-9 DE-He213 20251030113050.0 cr nn 008mamaa 240917s2024 si | s |||| 0|eng d 9789819761999 978-981-97-6199-9 10.1007/978-981-97-6199-9 doi TK5101-5105.9 TJK bicssc TEC041000 bisacsh TJK thema Positioning and Navigation Using Machine Learning Methods [electronic resource] / edited by Kegen Yu. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. X, 374 p. 187 illus., 153 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Navigation: Science and Technology, 2522-0462 ; 14 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. This is the first book completely dedicated to positioning and navigation using machine learning methods. It deals with ground, aerial, and space positioning and navigation for pedestrians, vehicles, UAVs, and LEO satellites. Most of the major machine learning methods are utilized, including supervised learning, unsupervised learning, deep learning, and reinforcement learning. The book presents both fundamentals and in-depth studies as well as practical examples in positioning and navigation. Extensive data processing and experimental results are provided in the major chapters through conducting experimental campaigns or using in-situ measurements. Telecommunication. Machine learning. 55059 Signal processing. Communications Engineering, Networks. Machine Learning. 55059 Signal, Speech and Image Processing. Yu, Kegen. editor. (orcid)0000-0001-7710-3073 https://orcid.org/0000-0001-7710-3073 edt http://id.loc.gov/vocabulary/relators/edt 84551 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819761982 Printed edition: 9789819762002 Printed edition: 9789819762019 Navigation: Science and Technology, 2522-0462 ; 14 84552 https://doi.org/10.1007/978-981-97-6199-9 ZDB-2-ENG ZDB-2-SXE 63486 63486