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Road and path segmentation in images for autonomous driving scenario
Janíček, Ondřej ; Cihlář, Miloš (referee) ; Svědiroh, Stanislav (advisor)
This bachelor's thesis deals with the topic of segmentation of roads and paths for the purposes of autonomous driving. In the theoretical part, it deals with computer vision, simple segmentation methods, and practical solutions to the problem using convolutional neural networks and classical methods. In the practical part, the work deals with the collection of test data, the selection of a suitable programming language, and the selection of suitable libraries. Subsequently, the procedure for programming our own solution will be presented. Here it starts with pre-processing to convert the image into a grayscale image and filtering the noise, then finding the edges in the image using the Canny edge detector, followed by the definition of the region of interest, with the subsequent Hough transform to detect the straight lines in the image, and in the last stage, filtering the horizontal lines and averaging the remaining lines. At the end of the thesis, the results of the presented solution are compared with respect to robustness and computational complexity.
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Decreased visibility and image defect detection for vehicle mounted camera
Sedláček, Miloš ; Řičánek, Dominik (referee) ; Svědiroh, Stanislav (advisor)
This bachelor thesis deals with the topic of decreased visibility and image defects detection caused by adverse weather conditions or lighting from a vehicle mounted camera. The thesis describes the basic characteristics of the most common influences and their effects on camera data and presents some existing methods of detecting these influences. Next, a dataset containing selected defects is created and described. Afterwards, the issue of artificial neural networks is described in the thesis. A convolutional neural network is implemented for defect detection, which is trained and tested using the dataset. At the end, the achieved results of the network, its computational complexity and comparison with the results of other works are presented.
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Person Identification
Svědiroh, Stanislav ; Honec, Peter (referee) ; Richter, Miloslav (advisor)
This thesis focuses on the person identification based on faces. The aim is to create a working solution of person identification for the authentication purposes utilizing the Microsoft Kinect v2 sensor. It contains a summary of the most used algorithms for facial data description and their comparison. Thesis also proposes a PC program that controls the sensor and collects the facial data, saves them, manages keypoint detection and their comparison.
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Mobile Robot with Telepresence Control
Svědiroh, Stanislav ; Kopečný, Lukáš (referee) ; Žalud, Luděk (advisor)
This thesis deals with the proposal and implementation of a robotic platform for the purpose of visual telepresence. The aim of the work is to create a robotic platform remotely controlled by a virtual reality headset, being capable of moving on a flat surface and rotating the camera plaform in two degrees of freedom independently. This work provides a complete solution - both in terms of software and hardware.
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Mobile Robot with Telepresence Control.
Svědiroh, S. ; Žalud, L.
This paper focuses on developing a mobile robotic system capable of wireless movement and control. The robot can be controlled immersively via the virtual reality headset, or from any other device like a laptop or a mobile phone connected to the same Wi-Fi network. The robot houses a stereographic camera pair that streams near real-time video allowing the user to pan & tilt using only a head movement. The solution proposed in this paper also focuses on keeping the overall price low while maintaining as much room for future improvements as possible.
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Mobile Robot with Telepresence Control
Svědiroh, Stanislav ; Kopečný, Lukáš (referee) ; Žalud, Luděk (advisor)
This thesis deals with the proposal and implementation of a robotic platform for the purpose of visual telepresence. The aim of the work is to create a robotic platform remotely controlled by a virtual reality headset, being capable of moving on a flat surface and rotating the camera plaform in two degrees of freedom independently. This work provides a complete solution - both in terms of software and hardware.
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Person Identification
Svědiroh, Stanislav ; Honec, Peter (referee) ; Richter, Miloslav (advisor)
This thesis focuses on the person identification based on faces. The aim is to create a working solution of person identification for the authentication purposes utilizing the Microsoft Kinect v2 sensor. It contains a summary of the most used algorithms for facial data description and their comparison. Thesis also proposes a PC program that controls the sensor and collects the facial data, saves them, manages keypoint detection and their comparison.
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