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Detection and recognition of speed limit road signs
Solnický, Vojtěch ; Krejsa, Jiří (referee) ; Grepl, Robert (advisor)
This master‘s thesis describes the design and implementation of the system for detection and recognition of speed limit road signs. It focuses on the recognition of the red circular speed limit sign from the image data using the computer vision methods. Several methods were programmed and tested as a part of this thesis. In the final solution, the segmentation based on YCbCr color model is used. Detection of the circular sign and final classification is performed by template matching method. Algorithm for the tracking of the detected signs between frames of the video is used for better performance in real-time recognition. Application is developed using MATLAB and Simulink. The result is a simple driver assistance system prototype, which can be implemented in any computer with camera. The correct function of the algorithm was confirmed during a testing in a traffic.
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Analysis of the electronic driving assistants
Vinecký, Radek ; Pexa, Martin (advisor) ; Pavlů, Jindřich (referee)
This bachelor thesis deals with active and passive safety systems in the automotive industry. The thesis describes the individual components of active and passive vehicle safety. The individual chapter deeply analyzes the most commonly used electronic driving assistants with a description of the individual parts and principles of the operation systems and their influence on the behavior and performance of vehicle. It also describes some sensors cooperating with the driving safety assistants. At the end of this chapter is described a future electronic driving assistant.
Within the statistic of the road safety was executed an analysis of the accidents in the years from 2000 to 2015 and evaluated a current trend of the accidents in relation with constantly increasing number of the registered vehicles.
The conclusion evaluates the general view of road traffic safety.
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Detection and recognition of speed limit road signs
Solnický, Vojtěch ; Krejsa, Jiří (referee) ; Grepl, Robert (advisor)
This master‘s thesis describes the design and implementation of the system for detection and recognition of speed limit road signs. It focuses on the recognition of the red circular speed limit sign from the image data using the computer vision methods. Several methods were programmed and tested as a part of this thesis. In the final solution, the segmentation based on YCbCr color model is used. Detection of the circular sign and final classification is performed by template matching method. Algorithm for the tracking of the detected signs between frames of the video is used for better performance in real-time recognition. Application is developed using MATLAB and Simulink. The result is a simple driver assistance system prototype, which can be implemented in any computer with camera. The correct function of the algorithm was confirmed during a testing in a traffic.
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