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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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Controlling of Vehicles Formation
Revický, Peter ; Kapinus, Michal (referee) ; Rozman, Jaroslav (advisor)
The goal of this thesis is to create system for formation management of wheeled vehicles with kinematic constraints. The work presents the way to control vehicle and how to manage formation in presence of obstacles. Algorithms used for vehicle control are based on potential fields. Whole system is implemented in Unity game engine in 2D enviroment. The system is then tested on various scenarios such as passing through narrow passage, obstacle partially blocking formation, dynamic obstacle avoidance etc.
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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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|
|
Controlling of Vehicles Formation
Revický, Peter ; Kapinus, Michal (referee) ; Rozman, Jaroslav (advisor)
The goal of this thesis is to create system for formation management of wheeled vehicles with kinematic constraints. The work presents the way to control vehicle and how to manage formation in presence of obstacles. Algorithms used for vehicle control are based on potential fields. Whole system is implemented in Unity game engine in 2D enviroment. The system is then tested on various scenarios such as passing through narrow passage, obstacle partially blocking formation, dynamic obstacle avoidance etc.
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