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Parking Spot Detection Using Radar
Rafajová, Kateřina ; Zemčík, Pavel (referee) ; Maršík, Lukáš (advisor)
The aim of this work is to detect free parking spaces by using radar equipment. The radar sends a signal which is reflected from objects around it and then is received back. After processing, a 2D/3D point cloud (space around the radar) is available. By merging this information with the information about car's speed or GPS position, it is possible to obtain the car's displacement and calculate the coordinates of points from the surroundings. By saving these points it is possible to specify the space the car passes. The result is a map of points, where using appropriate methods, free parking spaces can be detected. By linking the place to the corresponding GPS record, the exact GPS position of the free place is available. The result of this work is a system analysing radar data. It can be used as an input for overall free parking spaces monitoring system, which would save drivers a lot of time while using it.
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Object Tracking Using Radar
Rafajová, Kateřina ; Zemčík, Pavel (referee) ; Maršík, Lukáš (advisor)
The aim of this thesis is to modify the Gtrack algorithm from Texas Instruments so that it can be used in other projects in the Python programming language. The main advantage should be clear input of the algorithm parameters. Working with the algorithm through Texas Instruments is quite difficult, because the parameters affecting this algorithm are entered via the command line. Tuning the parameters is tedious and complicated. This diploma thesis should enable simpler testing of parameters on uploaded data. The Gtrack algorithm uses radar devices. The radar sends a signal which is reflected from objects around and is received back and processed. The result of the processing is a 2D/3D point cloud (space around the radar). From the information provided by the point cloud, it is possible to obtain data regarding objects in the vicinity of the radar. The basis is the Gtrack algorithm from Texas Instruments. However, this work allows it to be used independently of the Texas Instruments platform. The tracking algorithm recognizes individual objects and can monitor them for a certain period of time. Based on the recognition and tracking of the given object, it is possible to run for example some other event. The result is information about objects moving around the radar. The main benefit is the possibility of using this algorithm in other projects, the only condition is an input of the correctly formed point cloud.
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Parking Spot Detection Using Radar
Rafajová, Kateřina ; Zemčík, Pavel (referee) ; Maršík, Lukáš (advisor)
The aim of this work is to detect free parking spaces by using radar equipment. The radar sends a signal which is reflected from objects around it and then is received back. After processing, a 2D/3D point cloud (space around the radar) is available. By merging this information with the information about car's speed or GPS position, it is possible to obtain the car's displacement and calculate the coordinates of points from the surroundings. By saving these points it is possible to specify the space the car passes. The result is a map of points, where using appropriate methods, free parking spaces can be detected. By linking the place to the corresponding GPS record, the exact GPS position of the free place is available. The result of this work is a system analysing radar data. It can be used as an input for overall free parking spaces monitoring system, which would save drivers a lot of time while using it.
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