This master thesis deals with measurement and modeling of MEMS inertial sensors. This paper describes basic principles of inertial sensors along with their most often errors. The next part shows results from inertial sensor market analysis, which enabling a selection of sensors to be measured. The following two chapters present methods for inertial sensor modeling and testing. The biggest part of text is dedicated to presentation of measurement results showing us static measurement of Allan variance, Earth rotation, temperature dependent bias and dynamic measurement of gyroscope sensitivity testing over temperature. In the last part of the thesis is presented a design of sensor error model by autocorrelation function and Allan variance and also an evaluation of achieved results.

Distance and the associated parameters can be measured by specific sensors mobile device. Introduction The work focuses on the description of the sensors and the effects on their accuracy. To measure the distance, there is a number of good practices, which were described and demonstrated the application implemented source code for the Android platform. The project works with a total of three sensors, namely accelerometer, magnetometer and camera. The main objective of this work is the definition and application of methods for measuring distance using the appropriate sensors.

This document deals with issues of testing semiconductor inertial sensors like gyroscopes and accelerometers, but also other sensors like magnetometers, inclinometers and others for aviation navigation purposes where strict requirements cover every system. The goal of this thesis is to create modular test platform for testing wide variety of sensors in different combinations under variable circumstances. The development covers mechanical design, electrical design – hardware and also control algorithm – software.

Work tackles the general design systems of automatic control of engine power and braking effects so that avoid any unnecessary dangerous situations and to improve the driving characteristics and suppression causes of accident due to bad decisions of driver. Is required to propose a general system based on the draft sensors and control circuits, their relationships, design control processor, which will be without the knowledge of the driver intervene in driving motorcycle.

This diploma thesis is a part of HUMMER project. The project deals with three student’s development of two-wheeled unstable vehicle Segway type and its diminished laboratory model. This thesis deals with reviviscence of laboratory model, design of its control and realization of its actuating (a more detailed breakdown of tasks in the project is shown below). At the beginning of the work is presented reviewed study. The first part of study deals with similar models in the world, their construction and way of control. In the next part of reviewed study follows description of a real model and derivation of model basic equations, in the last part of search is given principle of operation of some used sensors. The next step was the selection and design of required electronics. In this capture are described all designed electronic modules and used sensors. There are also given parameters of used batteries and motors. The next task was the estimation of system parameters. The estimation was made by sections, in the capture is in detail described way of measuring data and structuring of estimation model. The penultimate step was design of PID and LQR controller using I/O card MF 624 and their comparing. Following thing was choice of better regulator and its implementation to the microprocessor. The last step was the realization of actuating driving of model by joystick and supreme PC.

The aim of this master's thesis was to design and construct complete telemetry system for the student formula Dragon IV constructed for international Formula Student competition. At first, the work deals with the measurement of the physical quantities, telemetry system and automotive sensors of the formula, their mutual communication and communication with the CAN bus. It also describes the procedure of hardware design including choosing right inertial sensors and a GPS module and their using in telemetry system. The work contains materials for production of two-layer printed circuit board extending the microcomputer BeagleBone Black on the inertial sensors and the GPS module. The bigger part of the telemetry system is the firmware for hardware and software for the computer user. Both written in programming language C++ and C# are included in this work as well. This user application serves for wireless receiving data from the hardware and their showing and logging. In addition this user application can be used for wireless hardware configuration. The final product is the complete telemetry system and it is suitable for selling to end customer.

The master’s thesis deals with a design of the computational method for the analysis of swimmers training with the use of an inertial measurement unit. The developed algorithm uses quaternion-based Unscented Kalman filter and merges accelerometer and gyroscope measurements. The proposed method enables analysis of velocity, acceleration and inclination of a swimmer. Verification of the method was based on an underwater video camera capturing and a tethered velocity meter.

This thesis deals with a system for tracking the trajectory of the moving object. Further, also for obtaining additional motion data and other information. Thesis focuses on flying objects. There are described all system components and way of their communication. Next, the progress of the expansion unit for measuring by the BeagleBone Black platform. Also there is described testing that took place during aerobatic gliders races, including the demonstrations of recording data and their processing.

Goal of this thesis is localization of mobile robot in OpenStreet map segment. Robot IMU, odometry and compass sensors are used for trajectory reconstruction, which is compared to reference GPS trajectory. Extended Monte Carlo localization and clusterization are used for robot localization. Software is implemented in C++ with ROS middleware.

The master thesis deals with the issue of long-term ECG recording, used in medicine for monitoring of cardiac anomalies. Author focuses on explaning the general concepts in the first part. Author describes measuring methods and issues associated with measuring. Comparison of existing devices and design of solution with own features are in next chapter. Next is comparison and selecting of formats for recording measured data and description of device connectivity. In next chapter author focuses on hardware design and implementation of device. After that author describes software solution design for microcontroller, Bluetooth module and smartphone. Author introduces possible improvements for future generation of the device and then describes results of testing at the end of this work.