Modeling the operation of the autopilot using LIDAR technology in the Unreal Engine environment
Students Name: Khranovskyi Mykola Mykolaiovych
Qualification Level: magister
Speciality: Information Technology Design
Institute: Institute of Computer Science and Information Technologies
Mode of Study: full
Academic Year: 2022-2023 н.р.
Language of Defence: англійська
Abstract: Khranovsky M.M., Klymkovych T.A. (supervisor). Modeling and research of the operation of the autopilot using LIDAR technology in the Unreal Engine environment. Master’s qualification thesis. - Lviv Polytechnic National University, Lviv, 2022. An autonomous vehicle is able to navigate using various devices and methods such as radar, lidar, GPS, odometers and computer vision. Modern control systems are able to interpret information from sensors to determine the correct direction of movement, as well as to identify obstacles and relevant pointers. Autonomous cars have control systems that are able to analyze sensor data and distinguish between other vehicles on the road, which is very useful when planning a route to a desired destination[1]. Research object - Modeling and research of autopilot operation using LIDAR technology in the Unreal Engine environment. Accordingly, as a result of the work, an autopilot testing system was created, which will serve as a basis for conducting research in the field of traffic safety. The subject of research is LiDAR ("light detection and ranging") stands for "light detection and ranging". It’s a form of remote sensing technology that could improve the accuracy of self-driving cars. As the name suggests, it works just like radar, but instead of radio waves, it uses a pulsed laser to detect nearby objects. Unreal Engine enables developers and game creators across industries to create next-generation 3D content in real-time with more freedom, precision and flexibility than ever before. The world’s most open and advanced real-time 3D creation tool The purpose of the research: to develop a system in the Unreal Engine environment for testing autopilot systems, in particular those that work using LIDAR technology. The work consists of an introduction, three chapters, conclusions and a list of used sources. The first chapter discusses the general characteristics of the research object. The second section describes the system requirements. The third chapter describes the development of the system. Accordingly, as a result of the work, an autopilot testing system was created, which will serve as a basis for conducting research in the field of traffic safety. Such a solution is relatively simple to implement and extremely profitable compared to other solutions. Key words: autopilot, radar, driver, car, control, pilot. List of used literary sources: 1. Mehendale N. Review on Lidar Technology [Electronic resource] / N. Mehendale, S. Neoge // K. J. Somaiya college of Engineering. – 2020. – https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3604309. 2. McManamon. LiDAR technologies and systems / McManamon, Paul F.. – Bellingham, Washington, USA: SPIE, 2019. – 40 с. – (Society of Photo-Optical Instrumentation Engineers). – (ISBN 9781510625396). 3. What is LIDAR [Electronic resource] // National Oceanic and Atmospheric Administration. – 2021. – Режим доступу до ресурсу: https://oceanservice.noaa.gov/facts/lidar.html. 4. Heritage, G., & Large, A. (Eds.). (2009). Laser scanning for the environmental sciences. John Wiley & Sons. ISBN 1-4051-5717-8 5. Bernhard Friedrich. The effect of autonomous vehicles on traffic. In Autonomous Driving, pages 317–334. Springer, 2016.