National Repository of Grey Literature 24 records found  1 - 10nextend  jump to record: Search took 0.02 seconds. 
Literature search on fully-automated vehicles
Hipča, Tomáš ; Froehling, Kenneth (referee) ; Sedláček, Pavel (advisor)
Tato práce je zaměřena na autonomní automobily, obsahuje krátkou historii vývoje těchto automobilů, metody, které byly použity, zařízení i algoritmy používané v autonomních automobilech a možnou budoucnost autonomních aut. Práce také obsahuje soupis dostupné literatury na toto téma, obohacené o komentář či názor autora.
Sensors signal processing methods of the autonomous vehicle
Kostiha, Petr ; Vopařil, Jan (referee) ; Kučera, Pavel (advisor)
This bachelor thesis deals with autonomous vehicles and ways of perception their surrounding environment. The thesis contains description of the sensors, which autonomous car uses to draw the surroundings. Furthermore, the thesis is focused on working of the sensors and primarily on signal processing methods which sensors generates.
Commercial vehicle electronic systems
Slepánek, David ; Zháňal, Lubor (referee) ; Fojtášek, Jan (advisor)
This bachelor's thesis deals with electronic systems of commercial vehicles. In the first part the reader is introduced to basic groups of electronic systems, with their functions and applications. The second part discusses particular systems in detail. The last part is dedicated to the development of autonomous commercial vehicles. The thesis also contains the pros and cons of using these technologies in practise. In the conclusion, the helpfulness of each system is assessed.
Acquisition of inputs by image processing for controlling an autonomous vehicle
Midrla, Daniel ; Píštěk, Václav (referee) ; Kučera, Pavel (advisor)
This master’s thesis deals with data acquisition by image processing in order to control an autonomous vehicle. Firstly, the thesis offers a summary of theoretical knowledge relevant to the given topic. Then follows a description of creating an algorithm, which acquires basic inputs for autonomous vehicle control with the use of a stereo camera and an object detection neural network. The inputs gained from this algorithm are the class of the detected object and its distance. Finally, an experimental evaluation of the correct functionality is performed with an emphasis on optimizing the accuracy and range of the distance computation. An assessment of the ability to deploy the created algorithm in real time on a compact computer with limited computing power is also performed.
New Technologies in Transportation
Šimon, Daniel ; Rujbrová, Šárka (referee) ; Smutný, Milan (advisor)
Elektrické vozidlo je lepší náhradou vozidla s vnitřním spalováním, zachovávaje si svůj účel. Elektrické vozidlo nabízí vylepšení výkonu, může vyprodukovat maximální výkon během sekund, bez potřeby převodovky, čímž minimalizuje ztráty na výkonu. Jednoduchý dizajn motoru s jedinou pohybující se částí snižuje náklady na údržbu a celkové opotřebení. Tepelní účinnost vozidla s vnitřním spalováním činí 38 %, v porovnání s 90 % efektivitou proměny elektrické energie na výkon, ukazuje to dominanci elektrického vozidla, v případě že se jedná o výkon a možnosti motoru. Je známo, že vozidla s vnitřním spalováním znečisťují životní prostředí svým procesem spalování, produkcí 67 tun oxidu uhličitého za celý svůj životní cyklus, v porovnání s elektrickým vozidlem, které přímo svým chodem neprodukuje žádné emise, jehož výrobní emise a emise z elektrické výroby, jsou nižší o 50 %. Spolehneme-li na čistší zdroje energie, emise na životní cyklus vozidla mohou být sníženy až o 300 %, nahrazováním znečisťujících tepelných elektráren, čistšími zdroji elektrické energie. Z hlediska bezpečnosti v dopravě, od roku 2001 zaznamenala Evropská unie více než 50% snížení úmrtnosti na cestách s prosazováním pokročilých asistenčních systémů pro řidiče. Má v zájmu tuto úmrtnost dále snižovat testováním a zaváděním nových systémů (eCall, systémy pro předcházení kolizím, …). S pokročilými asistenčními systémy pro řidiče je veřejnost jen pár let od prvních autonomních vozidel, která mohou zlepšit způsob cestování, jak ho nyní známe. Jsou limitovány pouze jejich bezpečností, technologickými chybami a zákonnou odpovědností.
Design of traffic sign detector using image processing methods
Šmíd, Josef ; Adámek, Roman (referee) ; Věchet, Stanislav (advisor)
This master thesis deals with the design of a traffic sign detector using the image processing methods. The OpenCV library for working with images in programming language Python is used for this. The first part reports on the using methods. In the next part, these methods were tested on images of traffic signs taken in traffic in different lighting conditions. The results of these tests led to the design of optimal methods and their settings, which were re-verified by verifying on video of driving in traffic. This also revealed the conditions under which they can operate in real-time systems. Finally, an optimization algorithm for compensation of detection errors was proposed from the monitoring of detection waveforms.
Autonomous vehicles testing
Nágl, Jiří ; Tobiáš, Martin (referee) ; Porteš, Petr (advisor)
The aim of this bachelor’s thesis is the research of autonomous vehicles and their testing. In the first part, the work focuses on autonomous vehicles and connectivity between them. Subsequently, it deals with testing of autonomous vehicles on proving grounds and testing in real world. The last chapter includes virtual testing and dedicated software.
Impact of Modern Technology in Logistics and their Role in Society
Pelc, Roman ; Tesař, Rostislav (referee) ; Jurová, Marie (advisor)
The diploma thesis “Impact of modern technology in logistics and their role in company” is focused to analysis impact of modern technology in logistics and their role in company DHL. The goal of this thesis is analysis of use self-driving vehicles on linehauls in company DHL that company will keep their leader role in the market and show other companies technological future in logistics.
Autonomous Vehicles Liability Insurance
Hořavová, Maria ; Vybíral, Roman (advisor) ; Tuláček, Michal (referee)
Autonomous Vehicles Liability Insurance Abstract The diploma thesis is focused on the issue of autonomous vehicles and its liability insurance as it is a very current topic, as evidenced by extensive discussions across the professional and lay public. The aim of this thesis is to analyse the currently existing legal framework at national, EU and international level and to clarify whether the current legal framework is sufficient for the operation of autonomous vehicles. The liability insurance system itself and the principles of its operation are also analysed with regard to their suitability for autonomous transportation. Where deficiencies are identified, de lege ferenda considerations are outlined, and expected changes as well as appropriate solutions are identified. In addition, the diploma thesis provides a meaningful introduction to the principles of autonomous vehicles and discusses other areas closely related to liability insurance for damage caused by the operation of autonomous vehicles. The diploma thesis is divided into five separate chapters. These chapters are structured in such a way that the reader first gains an understanding of the topic and becomes familiar with the complex system of autonomous vehicles. In the first chapter, the reader is introduced to the concept of an autonomous...
Zhodnocení současného rozvoje autonomních systémů řízení osobních vozidel
Zbořil, Maxmilián
The presented bachelor thesis deals with the evaluation of the current development of car-nomic control systems for passenger vehicles. The first part of the thesis deals with the history of autonomous systems and then a detailed overview of the individual sensors used in autonomous vehicles is presented. In the second part, an enumeration of the different levels of automation of autonomous systems is made together with a description of the different assistance systems found in vehicles. In the third part, the specific representation of autonomous systems in the automotive industry is addressed, followed by a description of the factors influencing the development of autonomous systems. Finally, an analysis of accident rates for the monitoring period is presented.

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