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Localisation of Mobile Robot in the Environment
Urban, Daniel ; Sochor, Jakub (referee) ; Veľas, Martin (advisor)
This diploma thesis deals with the problem of mobile robot localisation in the environment based on current 2D and 3D sensor data and previous records. Work is focused on detecting previously visited places by robot. The implemented system is suitable for loop detection, using the Gestalt 3D descriptors. The output of the system provides corresponding positions on which the robot was already located. The functionality of the system has been tested and evaluated on LiDAR data.
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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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Object Detection in the Laser Scans Using Convolutional Neural Networks
Marko, Peter ; Beran, Vítězslav (referee) ; Veľas, Martin (advisor)
This thesis is aimed at detection of lines of horizontal road markings from a point cloud, which was obtained using mobile laser mapping. The system works interactively in cooperation with user, which marks the beginning of the traffic line. The program gradually detects the remaining parts of the traffic line and creates its vector representation. Initially, a point cloud is projected into a horizontal plane, crating a 2D image that is segmented by a U-Net convolutional neural network. Segmentation marks one traffic line. Segmentation is converted to a polyline, which can be used in a geo-information system. During testing, the U-Net achieved a segmentation accuracy of 98.8\%, a specificity of 99.5\% and a sensitivity of 72.9\%. The estimated polyline reached an average deviation of 1.8cm.
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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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Sheet Music Recognition and Playing from Photography
Staněk, Jiří ; Veľas, Martin (referee) ; Pavelková, Alena (advisor)
This work deals with development of an application for optical music recognition. This application is designed for mobile phones with Android operating system. The work includes a brief introduction to the problem and introduces some existing solutions. There are described methods for image processing and classification, which are used in final application. It also shows the design and implemenation of the final aplication, where used methods for detection and removal of staff lines, detection and processing of musical symbols and their classification are described. The evaluation of the final application and a summary of achieved results are shown in the end of this work.
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Image Database Query by Example
Dobrotka, Matúš ; Hradiš, Michal (referee) ; Veľas, Martin (advisor)
This thesis deals with content-based image retrieval. The objective of the thesis is to develop an application, which will compare different approaches of image retrieval. First basic approach consists of keypoints detection, local features extraction and creating a visual vocabulary by clustering algorithm - k-means. Using this visual vocabulary is computed histogram of occurrence count of visual words - Bag of Words (BoW), which globally represents an image. After applying an appropriate metrics, it follows finding similar images. Second approach uses deep convolutional neural networks (DCNN) to extract feature vectors. These vectors are used to create a visual vocabulary, which is used to calculate BoW. Next procedure is then similar to the first approach. Third approach uses extracted vectors from DCNN as BoW vectors. It is followed by applying an appropriate metrics and finding similar images. The conclusion describes mentioned approaches, experiments and the final evaluation.
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3D Educational Application Using the Depth Sensors
Zubrik, Tomáš ; Beran, Vítězslav (referee) ; Veľas, Martin (advisor)
This work deals with the creation of an interactive learning system that uses depth sensor and projector to render an interactive topographic map on the top of the sand surface. Our solution is based on the existing application AR Sandbox. Aditionally to the visualization elevation, the application allows the user to model the terrain model interactivelly, while guiding him by color distinguishment to create model correctly. We have developed an extension that allows the user to choose any part of the Earth's surface to create its model. The solution utilizes the full potential of the original application and offers the user an engaging experience in modeling the landforms or river basins. The result of this work is an operational system, which is helpful for gaining the knowledge in the field of topography and hydrology. User testing was evaluated using a UEQ questionnaire and has proven the usability, while achieving average score of 1.2, which is rated above-average on the UEQ scale.
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Street View Mapping Using Mobile Sensory Platform
Hraboš, Šimon ; Herout, Adam (referee) ; Veľas, Martin (advisor)
The aim of this bachelor thesis is to add a spherical video camera into the existing mapping system as an extension for recording the panoramic video. The secondary task is to generate an interactive panoramic tour displaying the recorded image data. Original application for area mapping captures the geometry using the lasers into 3D model. The main benefit of panoramic tour is improvement of visual inspection and more detailed view of recorded image data. The solution described in this thesis consists of two parts: recording of panoramic video and displaying it using virtual tour. The result is a multi-platform and web-based solution designed for common users.
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Street View Mapping Using the Sensory Mobile Platform
Győri, Adam ; Kapinus, Michal (referee) ; Veľas, Martin (advisor)
The aim of this bachelor's thesis is to develop a web application that facilitates viewing of panoramatic photographies while having an optional map background. Application works for usage of surveyors, mainly for pasportization of buildings and grounds. Main aim of the application is to simplify inspection of recorded image data. Solution consists of visual display of view and creating of switchable map background.
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