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Robot Localization Using OpenStreet Map
Rajnoch, Zdeněk ; Veľas, Martin (referee) ; Rozman, Jaroslav (advisor)
Goal of this thesis is localization of mobile robot in OpenStreet map segment. Robot IMU, odometry and compass sensors are used for trajectory reconstruction, which is compared to reference GPS trajectory. Extended Monte Carlo localization and clusterization are used for robot localization. Software is implemented in C++ with ROS middleware.
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Fitness Map Application
Hrůza, Tomáš ; Drga, Jozef (referee) ; Rozman, Jaroslav (advisor)
As the world continues to evolve and expand, the need for modern solutions rapidly grows. Large portion of the population tends to keep track of their lifestyle which in turn provides an opportunity for companies to create many different fitness devices and applications. The goal of this bachelor's thesis is to provide a new kind of motivation to get out into the world, provided by yet another web application. However this application provides its user with motivation in the form of a minigame - the user travels through the world and the application then calculates the area he captures using a Voronoi diagram based on his route. Another feature the application provides is viewing your routes in a merged, averaged form. This comes in handy when the user would like to approximate his actual route over several different activities. The first part of this bachelor's thesis collects information about different commonly used fitness applications. Out of all those a web application called Strava was chosen as a base for collecting user data. The resulting web application connects to Strava using OAuth and retrieves routes the user has collected using the Strava mobile application. One of the last chapters focuses on describing the implementation details about used and created algorithms. It additionally contains description of scripts which were used to extract data out of OpenStreetMap database and calculate Voronoi regions based on them. To store and search through calculated regions, a MySQL database is used. The application is developed using modern frameworks and is heavily oriented around a comfortable user interface and responsive web design.
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Fitness Map Application
Hrůza, Tomáš ; Drga, Jozef (referee) ; Rozman, Jaroslav (advisor)
As the world continues to evolve and expand, the need for modern solutions rapidly grows. Large portion of the population tends to keep track of their lifestyle which in turn provides an opportunity for companies to create many different fitness devices and applications. The goal of this bachelor's thesis is to provide a new kind of motivation to get out into the world, provided by yet another web application. However this application provides its user with motivation in the form of a minigame - the user travels through the world and the application then calculates the area he captures using a Voronoi diagram based on his route. Another feature the application provides is viewing your routes in a merged, averaged form. This comes in handy when the user would like to approximate his actual route over several different activities. The first part of this bachelor's thesis collects information about different commonly used fitness applications. Out of all those a web application called Strava was chosen as a base for collecting user data. The resulting web application connects to Strava using OAuth and retrieves routes the user has collected using the Strava mobile application. One of the last chapters focuses on describing the implementation details about used and created algorithms. It additionally contains description of scripts which were used to extract data out of OpenStreetMap database and calculate Voronoi regions based on them. To store and search through calculated regions, a MySQL database is used. The application is developed using modern frameworks and is heavily oriented around a comfortable user interface and responsive web design.
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Robot Localization Using OpenStreet Map
Rajnoch, Zdeněk ; Veľas, Martin (referee) ; Rozman, Jaroslav (advisor)
Goal of this thesis is localization of mobile robot in OpenStreet map segment. Robot IMU, odometry and compass sensors are used for trajectory reconstruction, which is compared to reference GPS trajectory. Extended Monte Carlo localization and clusterization are used for robot localization. Software is implemented in C++ with ROS middleware.
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