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Radar Sensor for Active Cruise Control
Rous, Petr ; Zemčík, Pavel (referee) ; Maršík, Lukáš (advisor)
This master thesis deals with implementation of the radar sensor for adaptive cruise control system. It discusses used technologies and processes and documents implementation of signal processing serving for the purpose of adaptive cruise control. It also describes the testing on the real data gathered in traffic. Texas Instrument's AWR1843 radar module was used as the sensor. This sensor represents currently very popular milimeter wave technology radars. Result of this master thesis are two implemented systems processing digital signal. One of them is a prototype application of the adaptive cruise control system, which also visualises the data. The other is implemented firmware of radar module doing real-time on-chip signal processing according to adaptive cruise control logic.
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Radar Sensor for Active Cruise Control
Lacek, Richard ; Zemčík, Pavel (referee) ; Maršík, Lukáš (advisor)
The aim of the work was to design the implementation of adaptive cruise control with the help of radar as a sensor to evaluate the surroundings in front of the vehicle. The solution used the VCDS-Lite application to determine the current vehicle speed and the Medium Range Radar demo, from Texas Instruments, to capture the surroundings in front of the vehicle with AWR1843 radar. Using these two applications was evaluated the environment in front of the vehicle from which the instruction for a driver was derived. The result of the work is an application that displays the current vehicle speed along with the current adaptive cruise control instruction. In addition to setting the speed, the application also provides a setting of the time interval from the vehicle that follows.
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Mobile App for Measuring the Range from the Preceding Vehicle in Traffic
Henry, Andrii ; Zemčík, Pavel (referee) ; Herout, Adam (advisor)
This master's thesis deals with development of mobile app for measuring the range from the preceding vehicle in traffic using visual-based methods. This paper describes implementation of computer vision algorithms of detection and tracing objects, detection of horizon on desktop and mobile devices. Also deals with visual-based range measuring without any other mechanisms. The output of the work is implemented detectors of vihicles and horizon using OpenCV library on the Windows platfom and draft of user inerface of a mobile phone aplication on the Android platform.
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Fuzzy decision models
Starý, Josef ; Karpíšek, Zdeněk (referee) ; Žák, Libor (advisor)
This master's thesis is focused on fuzzy decision-making using fuzzy inference systems. In the first part, the math theory necessary in this field is described. The main objective of the thesis is to create a fuzzy inference system with adaptive cruise control function. Mathematical software MATLAB is used to accomplish this goal. The system evalutes situations and decides on the vehicle's response based on input variables such as the vehicles's speed, the speed of the previous vehicle, and the distance between vehicles. Its functionality is tested in this thesis using simulations of fictional scenarios, and then the system is compared to real adaptive cruise control systems using real data.
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Radar Sensor for Active Cruise Control
Lacek, Richard ; Zemčík, Pavel (referee) ; Maršík, Lukáš (advisor)
The aim of the work was to design the implementation of adaptive cruise control with the help of radar as a sensor to evaluate the surroundings in front of the vehicle. The solution used the VCDS-Lite application to determine the current vehicle speed and the Medium Range Radar demo, from Texas Instruments, to capture the surroundings in front of the vehicle with AWR1843 radar. Using these two applications was evaluated the environment in front of the vehicle from which the instruction for a driver was derived. The result of the work is an application that displays the current vehicle speed along with the current adaptive cruise control instruction. In addition to setting the speed, the application also provides a setting of the time interval from the vehicle that follows.
|
|
|
Radar Sensor for Active Cruise Control
Rous, Petr ; Zemčík, Pavel (referee) ; Maršík, Lukáš (advisor)
This master thesis deals with implementation of the radar sensor for adaptive cruise control system. It discusses used technologies and processes and documents implementation of signal processing serving for the purpose of adaptive cruise control. It also describes the testing on the real data gathered in traffic. Texas Instrument's AWR1843 radar module was used as the sensor. This sensor represents currently very popular milimeter wave technology radars. Result of this master thesis are two implemented systems processing digital signal. One of them is a prototype application of the adaptive cruise control system, which also visualises the data. The other is implemented firmware of radar module doing real-time on-chip signal processing according to adaptive cruise control logic.
|
|
|
Mobile App for Measuring the Range from the Preceding Vehicle in Traffic
Henry, Andrii ; Zemčík, Pavel (referee) ; Herout, Adam (advisor)
This master's thesis deals with development of mobile app for measuring the range from the preceding vehicle in traffic using visual-based methods. This paper describes implementation of computer vision algorithms of detection and tracing objects, detection of horizon on desktop and mobile devices. Also deals with visual-based range measuring without any other mechanisms. The output of the work is implemented detectors of vihicles and horizon using OpenCV library on the Windows platfom and draft of user inerface of a mobile phone aplication on the Android platform.
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