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Object Detection in the Laser Scans Using Convolutional Neural Networks
Marko, Peter ; Beran, Vítězslav (referee) ; Veľas, Martin (advisor)
This thesis is aimed at detection of lines of horizontal road markings from a point cloud, which was obtained using mobile laser mapping. The system works interactively in cooperation with user, which marks the beginning of the traffic line. The program gradually detects the remaining parts of the traffic line and creates its vector representation. Initially, a point cloud is projected into a horizontal plane, crating a 2D image that is segmented by a U-Net convolutional neural network. Segmentation marks one traffic line. Segmentation is converted to a polyline, which can be used in a geo-information system. During testing, the U-Net achieved a segmentation accuracy of 98.8\%, a specificity of 99.5\% and a sensitivity of 72.9\%. The estimated polyline reached an average deviation of 1.8cm.
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Svitavy Town Square - Reconstruction Design
Voříšková, Zuzana ; Matuszková, Radka (referee) ; Radimský, Michal (advisor)
The subject of bachelor's thesis is the design of hard surfaces in the square in Svitavy (region of Pardubice). The proposal is to increase and improve the usability of cultural and civic public space. This will be achieved by changing the architextural arrangment of the reorganization of transport, which involves the partial diversion and relocation od parking spaces.
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Object Detection in the Laser Scans Using Convolutional Neural Networks
Marko, Peter ; Beran, Vítězslav (referee) ; Veľas, Martin (advisor)
This thesis is aimed at detection of lines of horizontal road markings from a point cloud, which was obtained using mobile laser mapping. The system works interactively in cooperation with user, which marks the beginning of the traffic line. The program gradually detects the remaining parts of the traffic line and creates its vector representation. Initially, a point cloud is projected into a horizontal plane, crating a 2D image that is segmented by a U-Net convolutional neural network. Segmentation marks one traffic line. Segmentation is converted to a polyline, which can be used in a geo-information system. During testing, the U-Net achieved a segmentation accuracy of 98.8\%, a specificity of 99.5\% and a sensitivity of 72.9\%. The estimated polyline reached an average deviation of 1.8cm.
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Svitavy Town Square - Reconstruction Design
Voříšková, Zuzana ; Matuszková, Radka (referee) ; Radimský, Michal (advisor)
The subject of bachelor's thesis is the design of hard surfaces in the square in Svitavy (region of Pardubice). The proposal is to increase and improve the usability of cultural and civic public space. This will be achieved by changing the architextural arrangment of the reorganization of transport, which involves the partial diversion and relocation od parking spaces.
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