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Safe Communication App for Windows Phone
Vícha, Tomáš ; Veľas, Martin (referee) ; Herout, Adam (advisor)
The aim of this thesis is to describe the application development for secure communication between two users. The description begins with the analysis of already existing solutions, continues with the design of the user interface and the determination of requirements. There is also described a selection of suitable technologies and stages of application development together with its testing. The result of this work is an user-friendly application for the Windows Phone platform that performs end-to-end encryption of individual messages.
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Tabletop Object Detection
Timko, Martin ; Veľas, Martin (referee) ; Kapinus, Michal (advisor)
The aim of this thesis is to design and create a module for robotic platform PR2. This module has to detect objects in front of the robot on a table and enable various operations with these objects. This thesis describes methods of object detection which were used in the implementation of the module. The thesis also describes the methods used for design and implementation of this module. The module testing and evaluation of results are mentioned at the end of the thesis.
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Mobile App for Sharing Information about Presence in a Location
Vlk, Tomáš ; Veľas, Martin (referee) ; Herout, Adam (advisor)
The aim of this work is to create a user-friendly mobile application for Android that will make it easier to share ones's location while keeping their privacy. Instead of the GPS coordinates of the current location, the application only shares the information about the user's presence at the place. For easier sharing, it also offers automatic detection of the presence at a specific place. The result of this work is a application with a user interface that respects the Material Design, which makes it possible to determine the device's presence at a place with a radius greater than 50 meters, but there is no active polling. The application which has been created does not need to be run at all (or any of its background services) and it can detect the device's presence at a specific place and receive messages from other devices. The biggest advantage of this approach is very low energy consumption in contrast to other solutions.
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Moving Object Detection in the Environment of Mobile Robot
Dorotovič, Viktor ; Beran, Vítězslav (referee) ; Veľas, Martin (advisor)
This work's aim is movement detection in the environment of a robot, that may move itself. A 2D occupancy grid representation is used, containing only the currently visible environment, without filtering in time. Motion detection is based on a grid-based particle filter introduced by Tanzmeister et al. in Grid-based Mapping and Tracking in Dynamic Environments using a Uniform Evidential Environment Representation. The system was implemented in the Robot Operating System, which allows for re-use of modules which the solution is composed of. The KITTI Visual Odometry dataset was chosen as a source~of LiDAR data for experiments, along with ground-truth pose information. Ground segmentation based on Loopy Belief Propagation was used to filter the point clouds. The implemeted motion detector is able to distiguish between static and dynamic vehicles in this dataset. Further tests in a simulated environment have shown some shortcomings in the detection of large continuous moving objects.
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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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Road Detection for Autonomous Car
Komora, Matúš ; Veľas, Martin (referee) ; Španěl, Michal (advisor)
his thesis deals with detection of the road adjacent to an autonomous vehicle. The road is recognition is based on the Velodyne LiDAR laser radar data. An existing solution is used and extended by machine learning - a Support Vector Machine with online learning. The thesis evaluates the existing solution and the new one using a KITTI dataset. The reliability of the road recognition is then computed using F-measure.
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Application for Automatic Photo Stitching
Valouch, Marek ; Kapinus, Michal (referee) ; Veľas, Martin (advisor)
Bachelor's thesis is focusing on issues of creating panoramic photographs under Android operating system. Program (operated by user) monitors an image, which is processed by Improg class from OpenCV library. Result of this thesis is a~mobile application placed on Google Play, which creates panoramic photographs.
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Mobile Robot Localization in an Appartment Using Mono-Camera
Konderla, Tomasz ; Veľas, Martin (referee) ; Beran, Vítězslav (advisor)
This bachelor is thesis deals with the localization of the robot by means of image analysis from the camera placed on the robot. I will also deal with the formation of a 3D model of the environment which is created of a data set of photos taken with the camera. The 3D model I will create using the method of SFM. I will locate the camera using the pre-set 3D model. In my bachelor is thesis I will further describe the theory of processing of the image data necessary for this project. Finally, I will evaluate the results of the success of the localization.
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3D Model of a Room Using Kinect
Zemek, Martin ; Veľas, Martin (referee) ; Španěl, Michal (advisor)
This thesis is about finding significant planar surfaces in point cloud and their conversion to polygons. Which is important step for making a 3D model of a room. Input is point cloud, which was recorded by Kinect v2 sensor. Tool for capturing one snapshot from Kinect is included in this thesis. For recording more detailed point cloud is needed external program. Some of the programs are mentioned further in this thesis. For plane detection is used RANSAC. Inliers are divided using Euclidean Cluster Extraction. These clusters are converted to polygon using convex or concave hull. Application is capable of working with one snapshot or bigger point cloud assembled by registration of particular snapshots and detect primary and secondary planar surfaces. For the largest plane points can be prepared for creation of a texture and dimensions of this plan can be printed in CLI.
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Traffic Signs Detection and Localisation
Kudláč, Ondrej ; Španěl, Michal (referee) ; Veľas, Martin (advisor)
This thesis aims to design the traffic signs detection and localization system using RGB image and 3D LiDAR data leveraging the the existing solutions. Traffic sign detection is based on the shape analysis. Then, the LIDAR data are used for the localization of previously detected signs. The created solution consists of two main components: the detector and locator, each able to operate independently.
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