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Optical Localization System with a Pan/Tilt Camera
Senčuch, Daniel ; Musil, Petr (referee) ; Beran, Vítězslav (advisor)
The effective surveillance of large critical areas is crucial for their security and privacy. There is no publicly available and acceptable solution of automating this task. This thesis aims to create an application utilizing a combination of a pan-tilt robotic manipulator and a visible-spectrum camera. Based on the pan-tilt unit's position and camera's images, the application searches for semantically significant changes in the captured environment and marks these regions of interest.
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Visual Car-Detection on the Parking Lots Using Deep Neural Networks
Stránský, Václav ; Veľas, Martin (referee) ; Rozman, Jaroslav (advisor)
The concept of smart cities is inherently connected with efficient parking solutions based on the knowledge of individual parking space occupancy. The subject of this paper is the design and implementation of a robust system for analyzing parking space occupancy from a multi-camera system with the possibility of visual overlap between cameras. The system is designed and implemented in Robot Operating System (ROS) and its core consists of two separate classifiers. The more successful, however, a slower option is detection by a deep neural network. A quick interaction is provided by a less accurate classifier of movement with a background model. The system is capable of working in real time on a graphic card as well as on a processor. The success rate of the system on a testing data set from real operation exceeds 95 %.
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Robot Localization Using Camera
Heřman, Petr ; Španěl, Michal (referee) ; Beran, Vítězslav (advisor)
The objective of this work is to design a simple localization method and its implementation in robot operating system ROS. This method uses a monocular camera as the only sensor and estimates the position in a known map. In experiments with prototypes are tested key points of type SURF, SIFT and ORB.
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Doors Opening for PR2
Senčuch, Daniel ; Materna, Zdeněk (referee) ; Kapinus, Michal (advisor)
This thesis aims to explore possibilities of door opening by the PR2 robotic platform based on information about the location and properties of the doors. This information must be obtained from another program that follows the protocol designed in this thesis. This thesis' effort should then produce a working program for the Robotic Operating System which - when run on the PR2 - is able to at least open doors in the direction from the robot and get the robot through them. The result has been successfully tested on the doors to the faculty robotic laboratory.
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