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Electronic Compass
Vomela, Miroslav ; Caha, Luděk (referee) ; Beneš, Petr (advisor)
The article introduces a general survey of concepts in electronic navigation. It is focused especially on the use of AMR sensor along with MEMS accelerometer as a compact navigation system. The article also deals with calibration of errors, which can occur in this system.
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Traffic image sequence classification
Vomela, Miroslav ; Janáková, Ilona (referee) ; Honec, Peter (advisor)
The article introduces a general survey of concepts used in traffic monitoring applications. It describes different approaches for solving particular steps of vehicle detection process. Analysis of these methods was performed. Furthermore this work focuses on the design and realization of complex robust algorithm for real-time vehicle detection. It is based on analysis of video-sequence acquired from static camera situated on highway. Processing consists of many steps. It starts with background subtraction and ends with traffic monitoring results, i.e. average speed, number of cars, level of service etc.
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Electronic Compass
Vomela, Miroslav ; Caha, Luděk (referee) ; Beneš, Petr (advisor)
The article introduces a general survey of concepts in electronic navigation. It is focused especially on the use of AMR sensor along with MEMS accelerometer as a compact navigation system. The article also deals with calibration of errors, which can occur in this system.
|
|
|
Traffic image sequence classification
Vomela, Miroslav ; Janáková, Ilona (referee) ; Honec, Peter (advisor)
The article introduces a general survey of concepts used in traffic monitoring applications. It describes different approaches for solving particular steps of vehicle detection process. Analysis of these methods was performed. Furthermore this work focuses on the design and realization of complex robust algorithm for real-time vehicle detection. It is based on analysis of video-sequence acquired from static camera situated on highway. Processing consists of many steps. It starts with background subtraction and ends with traffic monitoring results, i.e. average speed, number of cars, level of service etc.
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