Indoor location is one of the two most important contexts (time and location), becoming a key entry for mobile Internet. This book envisions potential indoor location applications, overviews the related state of the art technologies, and presents original patented techniques and open source prototype systems. The tutorial and sample code are provided as a good reference and starting point for readers who are interested in the technique detail.
Table of Contents
1. Introduction. 2. Overview of Mobile Systems. 3. Acoustic Ranging and Communication. 4. Localization Algorithms. 5. Guoguo: Enabling Fine-Grained Smartphone Localization. 6. Enhancing Location Accuracy and Robustness via Opportunistic Sensing. 7. Pushing Location Awareness to Context-Aware Augmented Reality. 8. Towards Location-Aware Mobile Social Networks with Missions. 9. Wearable Localization via Mobile Crowd Sensing. 10. Improving Location Services via Social Collaboration. 11. Hiding Media Data via Shaders: Enabling Private Sharing in the Clouds. 12. Conclusion and Future Directions.
Kaikai Liu is a Ph.D. candidate in Electrical and Computer Engineering at the University of Florida (UF) under the supervision of Dr.Xiaolin Andy Li. , he alsosubmitted 6 papers and 3 patents with strong determination for innovation.
Dr. Xiaolin (Andy) Li is an associate professor and area chair of Computer Engineering Division in Department of Electrical andComputer Engineering at University of Florida.