Artificial inteligence in self-driving vehicles

FERAS DAOUD

Master's thesis

Abstract:

The ability of autonomous vehicles (AVs) is to mold urban life and to change travel habits substantially. "Autonomous system" means a technology that can conduct a vehicle by a human driver without physical supervision or tracking.With the arrival of autonomous vehicles humanity will have to face a new risk collection and some great benefits, which requires the opportunity for the first time to make difficult risk reduction decisions with socially integrated types of artificial intelligence: decisions which will inevitably have real lives and death-effects. Since the decision-making mechanisms of AI are fundamentally different from those of humans, it raises concerns about how AI judges’ decisions, how are we to impact these decisions, what all these decisions means for the others. In the other hand, AVs give us many benefits and open many opportunities in the future, our life will be smart and easy. We use mBot as a robot of our learning project in this thesis work. Next, we tried to build some programs, and we succeed in getting it to follow the black line in the form of a (∞) line. It depends mostly on sensors that are connected to the underside of the car to decide the path or the direction. Then we were looking for something more exciting. We have created a program which following the line and avoid the barriers, the robot can avoid any barrier in its way by using the ultrasonic sensor also following the black line by using the following line sensor and the decision is based on these sensors.Finally, we have created more interesting programs like do not cross the line, random movement without making an accident and mBot dancing, all these programs were an experiment of making a good decision based on some rules and sensors.

Keywords

Autonomous Vehicle, Machine learning, Artificial Intelligence, Self-Driving, Internet of Things, mBot, Arduino

Jazyk práce: English

Datum vytvoření / odevzdání či podání práce: 7. 11. 2020

Obhajoba závěrečné práce

• Vedúci: doc. Ing. Vojtěch Merunka, Ph.D.

Czech University of Life Sciences Prague

Faculty of Economics and Management

Master programme / odbor:
Systems Engineering and Informatics / Informatics