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Autonomous vehicles sensors - study search
Macejka, Kamil ; Krejsa, Jiří (referee) ; Věchet, Stanislav (advisor)
This bachelor’s thesis is aimed at current trends and hardware solutions in the field of autonomous vehicles (AVs). Firstly, the definition of AV is presented and levels of autonomy are listed according to several criteria. This is followed by a brief overview of the early stages and historical development of AVs and by an introduction of sensors needed for their operation. The following part focuses on AVs created at DARPA Grand Challenge competition, which inspire even present-day companies. Next chapter describes leading companies in the area AV development, their approach to sensor selection and placement and their main goals. Furthermore, possible real applications of AVs and current pilot projects are presented. In the last part, results of this research are used to design a custom experimental AV.
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Numerical optimization of solid-state NMR experiments
Šmelko, Andrej ; Tošner, Zdeněk (advisor) ; Chlan, Vojtěch (referee)
Numerical optimizations of solid-state nuclear magnetic resonance experiments are one of the possible solutions to its low sensitivity. Using the Average Hamiltonian Theory, the negative effects of the radiofrequency field inhomogeneity on magnetization transfer were investigated. To overcome these effects, the Average Hamiltonian Theory was employed in the optimization of commonly used techniques such as Ramp-CP and Adiabatic-CP, optimization of pulses with arbitrarily modulated amplitude and new periodic pulses with arbitrarily modulated amplitudes and phases. Both types of shaped pulses achieved significantly higher efficiencies than Ramp- CP and Adiabatic-CP. The highest efficiency enhancement was calculated at high spinning frequencies and low dipolar coupling constants where the effect of the inhomogeneity is the strongest.
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Autonomous vehicles sensors - study search
Macejka, Kamil ; Krejsa, Jiří (referee) ; Věchet, Stanislav (advisor)
This bachelor’s thesis is aimed at current trends and hardware solutions in the field of autonomous vehicles (AVs). Firstly, the definition of AV is presented and levels of autonomy are listed according to several criteria. This is followed by a brief overview of the early stages and historical development of AVs and by an introduction of sensors needed for their operation. The following part focuses on AVs created at DARPA Grand Challenge competition, which inspire even present-day companies. Next chapter describes leading companies in the area AV development, their approach to sensor selection and placement and their main goals. Furthermore, possible real applications of AVs and current pilot projects are presented. In the last part, results of this research are used to design a custom experimental AV.
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