|
|
Design of the Electronic Target for Shooting Sports and Sensor Suitability Analysis
Grega, Matej
Electronic scoring targets (ESTs) are designed to overcome the drawbacks of classic paper targets, particularly the inability to score individual hits in groups if they overlap and the time-consuming manual scoring process. This paper presents the design of a prototype of an acoustically based EST for 10m air pistol discipline and examines the suitability of microelectromechanical system (MEMS) microphones and sealed flexural ultrasonic transducers (FUTs) as hit point localization sensors. The proposed prototype of the EST is mobile and battery-powered, with built-in illumination and radiofrequency communication. The position of the hit point is calculated using a closed-form, combined weighted method based on time difference of arrival (TDOA) measurements. FUTs were used as sensors due to their filtering properties of shot and ambient noise and overall higher signal-to-noise ratio than MEMS microphones, without saturation of the output signal. The sensor positions for TDOA localization were accurately obtained using an iterative calibration method. The proposed EST prototype achieved a mean position error of 0.29 mm and a standard deviation of 0.19 mm for hit point localization.
|
|
|
Acoustic target for shooting sports
Grega, Matej ; Junasová, Veronika (referee) ; Tomíček, Pavel (advisor)
Electronic scoring targets (ESTs) are designed to overcome the drawbacks of classic paper targets, particularly the inability to score individual hits in groups if they overlap and the time-consuming manual scoring process. This thesis presents the design, realization and testing of an acoustically based EST for 10 m air pistol discipline and examines the suitability of microelectromechanical system (MEMS) microphones and sealed flexural ultrasonic transducers (FUTs) as hit point localization sensors. The proposed EST is mobile and battery-powered, with built-in illumination and radiofrequency communication. The position of the hit point is calculated using a closed-form, combined weighted method based on time difference of arrival (TDOA) measurements. FUTs were used as sensors due to their filtering properties of shot and ambient noise and overall higher signal-to-noise ratio than MEMS microphones, without saturation of the output signal. The sensor positions for TDOA localization were accurately obtained using an iterative calibration method. The proposed EST prototype achieved a maximum position error of 0.39 mm, mean position error of 0.25 mm and a standard deviation of 0.10 mm for hit point localization.
|
|
|
Visualisation of Path-Planning
Vozák, Petr ; Orság, Filip (referee) ; Rozman, Jaroslav (advisor)
This thesis deals with sampling-based algorithms for nonholonomic (mainly car robot) and flexible robot path planning. Theoretical principles of probabilistic path finding and its implementation detail are discussed here. Java applets for visualization of algorithms and web pages are include on the CD.
|
|
|
Path Planning in 3D Space
Němec, František ; Samek, Jan (referee) ; Rozman, Jaroslav (advisor)
This paper deals with the problem of object path planning in 3D space. The goal is to create program which allows users to create a scene used for path planning, perform the planning and finally visualize path in the scene. Work is focused on probabilistic algorithms that are described in the theoretical part. The practical part describes the design and implementation of application. Finally, several experiments are performed to compare the performance of different algorithms and demonstrate the functionality of the program.
|
|
| |
|
|
Visualisation of Path-Finding for Robot
Kvasnica, Miroslav ; Orság, Filip (referee) ; Rozman, Jaroslav (advisor)
This thesis deals with sampling-based algorithms for robot path planning. Theoretical principles of probabilistic path finding and its implementation details are discussed here. The second part focuses on individual algorithms - PRM, EST, RRT and SRT and its modifications. Java applets for visualisation of algorithms and web pages related with sampling-based algorithms are included on the CD.
|
|
|
Path Planning in 3D Space
Němec, František ; Samek, Jan (referee) ; Rozman, Jaroslav (advisor)
This paper deals with the problem of object path planning in 3D space. The goal is to create program which allows users to create a scene used for path planning, perform the planning and finally visualize path in the scene. Work is focused on probabilistic algorithms that are described in the theoretical part. The practical part describes the design and implementation of application. Finally, several experiments are performed to compare the performance of different algorithms and demonstrate the functionality of the program.
|
|
|
Visualisation of Path-Finding for Robot
Kvasnica, Miroslav ; Orság, Filip (referee) ; Rozman, Jaroslav (advisor)
This thesis deals with sampling-based algorithms for robot path planning. Theoretical principles of probabilistic path finding and its implementation details are discussed here. The second part focuses on individual algorithms - PRM, EST, RRT and SRT and its modifications. Java applets for visualisation of algorithms and web pages related with sampling-based algorithms are included on the CD.
|
|
|
Visualisation of Path-Planning
Vozák, Petr ; Orság, Filip (referee) ; Rozman, Jaroslav (advisor)
This thesis deals with sampling-based algorithms for nonholonomic (mainly car robot) and flexible robot path planning. Theoretical principles of probabilistic path finding and its implementation detail are discussed here. Java applets for visualization of algorithms and web pages are include on the CD.
|
|
| |
guest ::
