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Self-Driving of a Model Car
Hazucha, Ivan ; Šimek, Václav (referee) ; Bidlo, Michal (advisor)
The aim of this thesis is to demonstrate options for self-driving model cars, focused on local path planning methods and obstacle avoidance. As a part of the project, the model was supplemented by a computing platform Raspberry Pi and appropriate sensors. Specifically, a 2D LiDAR sensor was used for detection and measuring the distance of surrounding objects, an incremental rotary encoder for measuring the distance travelled and current speed, and a gyroscope to keep track of the vehicle's relative orientation. Subsequently, a control system was implemented. This system is able to receive and process sensor data, use it to estimate vehicle's current location, compute an optimal trajectory in an uncharted environment, and control the vehicle's actuators accordingly. The result is a functional model car able to navigate in an unknown environment and reach specified goals by following a trajectory, dynamically generated depending on the surrounding obstacles.
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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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Risk Analysis of Self-Driven Vehicles
Weigel, Filip ; Šimek, Václav (referee) ; Strnadel, Josef (advisor)
The goal of this thesis was to design and implement system for risk analysis in self-driving cars. This thesis focused on design and implementation of system for risk analysis in models. One of the requirements for the system was to be flexible and robust. Design of the risk analysis was presented at theoretical level and then implemented in models of ABS and ESP systems in UPPAAL environment. The system was then tested via multiple experiments. The experiments were beneficial and the system for risk analysis correctly evaluated failure scenarios with adequate response to the rising level of risk. Experiment outputs were then presented at graphs with comment to each failure scenario.
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Risk Analysis of Self-Driven Vehicles
Weigel, Filip ; Šimek, Václav (referee) ; Strnadel, Josef (advisor)
The goal of this thesis was to design and implement system for risk analysis in self-driving cars. This thesis focused on design and implementation of system for risk analysis in models. One of the requirements for the system was to be flexible and robust. Design of the risk analysis was presented at theoretical level and then implemented in models of ABS and ESP systems in UPPAAL environment. The system was then tested via multiple experiments. The experiments were beneficial and the system for risk analysis correctly evaluated failure scenarios with adequate response to the rising level of risk. Experiment outputs were then presented at graphs with comment to each failure scenario.
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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.
|
|
|
Self-Driving of a Model Car
Hazucha, Ivan ; Šimek, Václav (referee) ; Bidlo, Michal (advisor)
The aim of this thesis is to demonstrate options for self-driving model cars, focused on local path planning methods and obstacle avoidance. As a part of the project, the model was supplemented by a computing platform Raspberry Pi and appropriate sensors. Specifically, a 2D LiDAR sensor was used for detection and measuring the distance of surrounding objects, an incremental rotary encoder for measuring the distance travelled and current speed, and a gyroscope to keep track of the vehicle's relative orientation. Subsequently, a control system was implemented. This system is able to receive and process sensor data, use it to estimate vehicle's current location, compute an optimal trajectory in an uncharted environment, and control the vehicle's actuators accordingly. The result is a functional model car able to navigate in an unknown environment and reach specified goals by following a trajectory, dynamically generated depending on the surrounding obstacles.
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