Thesis (Selection of subject)Thesis (Selection of subject)(version: 285)
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GPS tracks data processing and visualization
Thesis title in Czech: GPS tracks data processing and visualization
Thesis title in English: GPS tracks data processing and visualization
Key words: GPS, vizualizace, KML
English key words: GPS, visualization, KML
Academic year of topic announcement: 2011/2012
Type of assignment: diploma thesis
Thesis language: čeština
Department: Department of Distributed and Dependable Systems (32-KDSS)
Supervisor: doc. RNDr. Tomáš Bureš, Ph.D.
Author: hidden - assigned and confirmed by the Study Dept.
Date of registration: 06.12.2011
Date of assignment: 06.12.2011
Confirmed by Study dept. on: 15.12.2011
Date and time of defence: 03.09.2012 10:00
Date of electronic submission:08.08.2012
Date of submission of printed version:03.08.2012
Date of proceeded defence: 03.09.2012
Reviewers: RNDr. Martin Svoboda, Ph.D.
 
 
 
Guidelines
The wide spread of GPS devices capable of recording motion tracks has provided a huge amount of GPS track data with lots of information that can be used in various ways. Typical use of the data is to visualize the trajectory, but this is certainly only elementary use of the data. Additional processing, filtering and altering of data can significantly improve their information value. For example identification of popular places or routes, detection and removal of inaccurate parts of tracks, accenting speed or elevation progress on track, etc.

The aim of the thesis is to identify and describe best solutions to process and visualize GPS track datasets. That means analysis of a standalone track, mutual comparison of several tracks or identification of characteristics of a large tracks set. The thesis will include a prototype implementation of selected described methods.
References
[1] Microsoft Research Geolife project, http://research.microsoft.com/en-us/projects/geolife/ .

[2] Zheng, Y., Zhang, L., Xie X., Ma, W. Y. Mining interesting locations and travel sequences from GPS trajectories for mobile users. In Proceeding of WWW2009, (Madrid, Spain. April 2009), ACM Press: 791-800.

[3] Quannan Li, Yu Zheng, Yukun Chen, Xing Xie. Mining user similarity based on location history. In Proc. of ACM SIGSPATIAL conference on Geographical Information Systems (ACM GIS 2008), ACM Press, 1-10.

[4] Liao, Ll, Patterson, D.J., Fox, D., Kautz, H. Building Personal Maps from GPS Data. In proc. of IJCAI MOO05, Springer Press(2005), 249-265.

[5] Yu Zheng, Longhao Wang, Xing Xie, Wei-Ying Ma. GeoLife-Managing and understanding your past life over maps, In Proceedings of International conference on Mobile Data Management (MDM 2008), IEEE Press, 211–212.
 
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