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Road detection in outdoor environment using image processing
Vrbičanová, Antónia ; Věchet, Stanislav (referee) ; Krejsa, Jiří (advisor)
The Master’s thesis deals with the issue of the road detection in the outdoor environment using image processing. It is highly required that the methods selected are robust to sudden light changes within the image and effective in detection of wide variety of road surfaces possibly comprising certain kinds of pollution. Two methods have been used in order to reach the desired goal. The initial method uses standard algorithms of the image processing. Main outcome of this method are highlighted road boundaries. The following methodisbasedonconvolutionalneuralnetworks.Inthiscasewehaveclassificationtask. The result of this method is the estimation of the road direction. In the whole process, severalneuralnetworkstructureshavebeendesigned.Afterthenetworktrainingthemost suitable one was selected. Eventually, the results have been retested using newly created test set. Both of these methods are implemented in programming language Python.
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3D scanner
Vrbičanová, Antónia ; Matějásko, Michal (referee) ; Spáčil, Tomáš (advisor)
The Bachelor Thesis deals with the creation of the 3D-scanner using webcam, laser, stepper motor, and Python programming language. The main goal of this work is to determine the accuracy and repeatability of the planar measurement using piece of the aluminum block by using specific methods of the image processing. By enhancement of measurement algorithm and stepper motor the coordinates of individual points a sample object are gained. It is possible to create a model in STL format from points coordinates using MashLab software.
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Road detection in outdoor environment using image processing
Vrbičanová, Antónia ; Věchet, Stanislav (referee) ; Krejsa, Jiří (advisor)
The Master’s thesis deals with the issue of the road detection in the outdoor environment using image processing. It is highly required that the methods selected are robust to sudden light changes within the image and effective in detection of wide variety of road surfaces possibly comprising certain kinds of pollution. Two methods have been used in order to reach the desired goal. The initial method uses standard algorithms of the image processing. Main outcome of this method are highlighted road boundaries. The following methodisbasedonconvolutionalneuralnetworks.Inthiscasewehaveclassificationtask. The result of this method is the estimation of the road direction. In the whole process, severalneuralnetworkstructureshavebeendesigned.Afterthenetworktrainingthemost suitable one was selected. Eventually, the results have been retested using newly created test set. Both of these methods are implemented in programming language Python.
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3D scanner
Vrbičanová, Antónia ; Matějásko, Michal (referee) ; Spáčil, Tomáš (advisor)
The Bachelor Thesis deals with the creation of the 3D-scanner using webcam, laser, stepper motor, and Python programming language. The main goal of this work is to determine the accuracy and repeatability of the planar measurement using piece of the aluminum block by using specific methods of the image processing. By enhancement of measurement algorithm and stepper motor the coordinates of individual points a sample object are gained. It is possible to create a model in STL format from points coordinates using MashLab software.
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