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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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RC car model
Veverka, Vítězslav ; Frýza, Tomáš (referee) ; Šebesta, Jiří (advisor)
The aim of this bachelor thesis was an analysis of possibilities and requirements for driving systems of vehicle model. In the thesis, available undercarriages, which are suitable for an implementation of driving system, were presented. Furthermore, the study of the interface for the regulator and possibility to use a microcontroller in the driving system, were necessary. The wireless communication between transmitting part and microcontroller was tested just as controlling of an engine speed. The programme for driving of the model in PC was designed and tested by using C language. General behaviour of the model was tested. The response to control and achieved driving precision was tested too. In the end, assistant sensors for collision detection were added to the model.
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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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RC car model
Veverka, Vítězslav ; Frýza, Tomáš (referee) ; Šebesta, Jiří (advisor)
The aim of this bachelor thesis was an analysis of possibilities and requirements for driving systems of vehicle model. In the thesis, available undercarriages, which are suitable for an implementation of driving system, were presented. Furthermore, the study of the interface for the regulator and possibility to use a microcontroller in the driving system, were necessary. The wireless communication between transmitting part and microcontroller was tested just as controlling of an engine speed. The programme for driving of the model in PC was designed and tested by using C language. General behaviour of the model was tested. The response to control and achieved driving precision was tested too. In the end, assistant sensors for collision detection were added to the model.
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