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Algorithm for Moving an Autonomous Portable Vehicle in an Undefined Dynamic Landscape based on a Virtual Platform

Student: Artem Meier

Supervisor: Alexander I. Deryabin

Faculty: Faculty of Economics, Management, and Business Informatics

Educational Programme: Information Analytics in Enterprise Management (Master)

Year of Graduation: 2021

The goal of implementing autopilot system into vehicle is the automation of its movement on a dynamic landscape. Over the recent years a great success has been achieved in self-driving vehicles learning. This dissertation is about the process of implementation of algorithm for portable autonomous vehicle, which can move inside undefined dynamic landscame. Particularly, the best virtual platform for development was chosen, the compatible program module was developed and an experiment was carried out in order to determine the suitability of DQN algorithm for further experiments in the current subject area.

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