The main topic of my thesis is the creation process of a robot car that can be controlled from an Android smart device, and has a self positioning system, as well. Besides, I briefly describe the distance measuring and position calculating technics used in indoor positioning systems.
The topicality of my research is given by the great and growing demand for self-driving vehicles. For the following years and decades, a revolution of passanger and freight transportation is predicted, while traditional vehicles will be superseded by autonomous ones.
My research was carried out in the following steps. First, I chose the most suitable positioning technique and, ont he basis of the analysis of the sensors’ accuracies, I made an estimate of the expected accuracy of locationing. After that, I created the hardware of the car and the additional units, as well as the softwares running on the car and the smartphone. Finally, I compared the preliminary estimations with the results gained during the operation tests of the car.
As a conclusion, it can be stated that the chosen ultrasound-based positioning technique is applicable to accurate short range locationing. However this system can be improved in several ways, primarily aiming at more precise and reliable positioning.