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Speed Measurement of Vehicles from Surveillance Camera
Jaklovský, Samuel ; Juránek, Roman (referee) ; Sochor, Jakub (advisor)
This master's thesis is focused on fully automatic calibration of traffic surveillance camera, which is used for speed measurement of passing vehicles. Thesis contains and describes theoretical information and algorithms related to this issue. Based on this information and algorithms, a comprehensive system design for automatic calibration and speed measurement was built. The proposed system has been successfully implemented. The implemented system is optimized to process the smallest portion of the video input for the automatic calibration of the camera. Calibration parameters are obtained after processing only two and half minutes of input video. The accuracy of the implemented system was evaluated on the dataset BrnoCompSpeed. The speed measurement error using the automatic calibration system is 8.15 km/h. The error is mainly caused by inaccurate scale acquisition, and when it is replaced by manually obtained scale, the error is reduced to 2.45 km/h. The speed measuring system itself has an error of only 1.62 km/h (evaluated using manual calibration parameters).
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Stability and autopilot system for airplane RC model
Čamaj, Peter ; Republic), (SAAB Technologies Czech (referee) ; Šebesta, Jiří (advisor)
The master thesis deals with design and realization of stabilizing and autopilot system, which is used in radio controlled model planes. The thesis contains a proposal of hardware platform, which is able to control the plane model based on data measured from a sensor system. Moreover, this thesis describes a software implementation of individual modules, which is measured the onboard values. The basic principles of stabilization and autonomous flight control are also summarized. In conclusion, the system is subjected to flight tests.
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Determining motion using accelerometer data
Montilla, Michaela ; Koťová, Markéta (referee) ; Janoušek, Oto (advisor)
The aim of this thesis is to present the topic of acceleration record using accelerometer sensors and to create a program for the transformation of the acceleration data into the position vector. It is a summary of theoretical background of data recording using sensors of acceleration and an overview of the physical relationships between acceleration, velocity and position. The data was recorded by multiple types of sensors. The gist of the algorithm is a mathematical realization of physical relations modifying the conversion of acceleration to the position. The outcome enables to display a dynamic graphic output in 3-D.
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Ensuring Precision of Stereo Image Processing
Kuník, Oliver ; Španěl, Michal (referee) ; Zemčík, Pavel (advisor)
This thesis deals with the possibilities of refining the results of stereo image processing and examines the methods of stereo image stabilization. Proposes a method of stabilizing the stereo recording with respect to the designated reference stereo image to keep the images in the calibration position of the camera. An affine transformation is used to eliminate the movement of stereo images. The positions of the corner points found with subpixel precision are used for calculating the transformation. This thesis includes a comparison of the stabilization efficiency of a stereo record intended for vehicle speed measurements.
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Automatic Traffic Camera Calibration for Vehicle Speed Measurement
Nociar, Marián ; Bartl, Vojtěch (referee) ; Špaňhel, Jakub (advisor)
This thesis deals with design and development of a system for Automatic Traffic Camera Calibration for Vehicle Speed Measurement. The thesis contains a theoretical introduction to the camera calibration, describes the principles of the methods used in the implementation and displays the proposed solution that was implemented in Python3 using OpenCV and NumPy libraries. The achieved results were evaluated over the BrnoCompSpeed dataset with the average speed measurement error reaching 6.71 km/h.
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Speed Measuring of Vehicles Using Radar
Novák, Adrián ; Široký, Adam (referee) ; Maršík, Lukáš (advisor)
This thesis focuses on the process of creating a desktop application that processes radar data, from which it detects vehicles, their speed, and direction in an appropriate manner.The core of the application uses a Fourier transformation to transform radar data from time to a frequency domain. This frequency spectrum is used to get the important informationfor the calculation of vehicle speed, followed by a correction of the calculation by the cosine factor. The result of this thesis is a desktop application, which allows its user to obtain information from radar data about the detected vehicle and subsequently, to determine its speed.
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Ensuring Precision of Stereo Image Processing
Kuník, Oliver ; Španěl, Michal (referee) ; Zemčík, Pavel (advisor)
This thesis deals with the possibilities of refining the results of stereo image processing and examines the methods of stereo image stabilization. Proposes a method of stabilizing the stereo recording with respect to the designated reference stereo image to keep the images in the calibration position of the camera. An affine transformation is used to eliminate the movement of stereo images. The positions of the corner points found with subpixel precision are used for calculating the transformation. This thesis includes a comparison of the stabilization efficiency of a stereo record intended for vehicle speed measurements.
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Automatic Traffic Camera Calibration for Vehicle Speed Measurement
Nociar, Marián ; Bartl, Vojtěch (referee) ; Špaňhel, Jakub (advisor)
This thesis deals with design and development of a system for Automatic Traffic Camera Calibration for Vehicle Speed Measurement. The thesis contains a theoretical introduction to the camera calibration, describes the principles of the methods used in the implementation and displays the proposed solution that was implemented in Python3 using OpenCV and NumPy libraries. The achieved results were evaluated over the BrnoCompSpeed dataset with the average speed measurement error reaching 6.71 km/h.
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Speed Measurement of Vehicles from Surveillance Camera
Jaklovský, Samuel ; Juránek, Roman (referee) ; Sochor, Jakub (advisor)
This master's thesis is focused on fully automatic calibration of traffic surveillance camera, which is used for speed measurement of passing vehicles. Thesis contains and describes theoretical information and algorithms related to this issue. Based on this information and algorithms, a comprehensive system design for automatic calibration and speed measurement was built. The proposed system has been successfully implemented. The implemented system is optimized to process the smallest portion of the video input for the automatic calibration of the camera. Calibration parameters are obtained after processing only two and half minutes of input video. The accuracy of the implemented system was evaluated on the dataset BrnoCompSpeed. The speed measurement error using the automatic calibration system is 8.15 km/h. The error is mainly caused by inaccurate scale acquisition, and when it is replaced by manually obtained scale, the error is reduced to 2.45 km/h. The speed measuring system itself has an error of only 1.62 km/h (evaluated using manual calibration parameters).
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|
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Speed Measuring of Vehicles Using Radar
Novák, Adrián ; Široký, Adam (referee) ; Maršík, Lukáš (advisor)
This thesis focuses on the process of creating a desktop application that processes radar data, from which it detects vehicles, their speed, and direction in an appropriate manner.The core of the application uses a Fourier transformation to transform radar data from time to a frequency domain. This frequency spectrum is used to get the important informationfor the calculation of vehicle speed, followed by a correction of the calculation by the cosine factor. The result of this thesis is a desktop application, which allows its user to obtain information from radar data about the detected vehicle and subsequently, to determine its speed.
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