National Repository of Grey Literature 26 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
Vehicle for Small and Remote Space Mapping
Koupý, Pavel ; Veľas, Martin (referee) ; Beran, Vítězslav (advisor)
This work describes process of making a robotic vehicle for remote mapping of small indoor spaces and areas. Such process involves design and construction, selection and connection of used electronic parts and implementation of interface witch wil provide set of tools as remote control, camera stream or autonomous space search.
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.
Deep Learning for Image Classification
Ziková, Jana ; Veľas, Martin (referee) ; Hradiš, Michal (advisor)
This bachelor thesis deals with electronic commerce website products classification using product's photographs. For this purpose we use already implemented models of deep convolutional neural networks. Tho goal of this theses is to design experiments that will lead to the best possible results in product images classification.
Searching for Similar 3D Models
Šťáva, Zdeněk ; Veľas, Martin (referee) ; Španěl, Michal (advisor)
This paper deals with searching similar 3D models in a database containing up to thousands of models. It focuses in particular on the comparison of existing descriptors used to describe 3D models and the subsequent evaluation of similarity between models. In particular, the descriptors Rotation Invariant Spherical Harmonics and 3D Zernike Descriptor are compared. It also describes the use of libraries to extract these descriptors and to design of various experiments with these libraries over several object databases. It examines the effect of scale, translation, deformation and rotation of different 3D models on the resulting descriptor and the overall accuracy of both selected methods. These results compare.
Navigation Using Deep Convolutional Networks
Skácel, Dalibor ; Veľas, Martin (referee) ; Hradiš, Michal (advisor)
In this thesis I deal with the problem of navigation and autonomous driving using convolutional neural networks. I focus on the main approaches utilizing sensory inputs described in literature and the theory of neural networks, imitation and reinforcement learning. I also discuss the tools and methods applicable to driving systems. I created two deep learning models for autonomous driving in simulated environment. These models use the Dataset Aggregation and Deep Deterministic Policy Gradient algorithms. I tested the created models in the TORCS car racing simulator and compared the result with available sources.
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.
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.
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. 
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.
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.

National Repository of Grey Literature : 26 records found   1 - 10nextend  jump to record:
See also: similar author names
2 Velas, Marek
2 Velas, Michal
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