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Postprocessing of GPS Logs
Jaška, Roman ; Pavelková, Alena (referee) ; Polok, Lukáš (advisor)
This thesis aims to analyse common errors in recorded GPS activities, identify algorithms suitable for correction of these problems and design and subsequently implement an Android application. The first chapter contains an introduction to the problem, demonstration of a few affected examples and explains the motivation behind the choice of this subject for my thesis. Second chapter decomposes the established problem. I specifically elaborate on the source of the errors, the format of input data, existing solutions, mathematical methods suitable for this problem, available APIs and reasons behind the selection of the final platform. Chapter number three describes the actual solution of the problem employed in the final application. The requirements for the final application are laid out as well as the specific details of the functionality, such as the usage of Kalman filter, individual APIs, libraries as well as the design of the user interface. The penultimate chapter reveals selected parts of the implementation, such as the Kalman filtering itself or the problem of manual track correction. This chapter also contains description of design changes executed during the implementation. The final chapter reviews the achieved results of Kalman filtering and snapping of points to roads using Google Maps Roads API. Ultimately, I elaborate on possibilities of continued development of the application.
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Postprocessing of GPS Logs
Jaška, Roman ; Pavelková, Alena (referee) ; Polok, Lukáš (advisor)
This thesis aims to analyse common errors in recorded GPS activities, identify algorithms suitable for correction of these problems and design and subsequently implement an Android application. The first chapter contains an introduction to the problem, demonstration of a few affected examples and explains the motivation behind the choice of this subject for my thesis. Second chapter decomposes the established problem. I specifically elaborate on the source of the errors, the format of input data, existing solutions, mathematical methods suitable for this problem, available APIs and reasons behind the selection of the final platform. Chapter number three describes the actual solution of the problem employed in the final application. The requirements for the final application are laid out as well as the specific details of the functionality, such as the usage of Kalman filter, individual APIs, libraries as well as the design of the user interface. The penultimate chapter reveals selected parts of the implementation, such as the Kalman filtering itself or the problem of manual track correction. This chapter also contains description of design changes executed during the implementation. The final chapter reviews the achieved results of Kalman filtering and snapping of points to roads using Google Maps Roads API. Ultimately, I elaborate on possibilities of continued development of the application.
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