Development of the intelligent control system of an unmanned car

• Published in: PROBLEMS IN PROGRAMMING
• Date: 2024
• Issue: 2-3
• Pages: 375-383
• ISSN: 1727-4907
• Author Affiliations: N.B. Dakhno — Kiev Taras Shevchenko National University; A.P. Miroshnyk — Kiev Taras Shevchenko National University; Yu.V. Kravchenko — Kiev Taras Shevchenko National University; O.O. Leshchenko — Kiev Taras Shevchenko National University; A.S. Dudnik — Kiev Taras Shevchenko National University
• Main Authors: Dakhno, N.B., Miroshnyk, A.P., Kravchenko, Yu.V., Leshchenko, O.O., Dudnik, A.S.
• Format: Article
• Language: English
• Published: PROBLEMS IN PROGRAMMING 2024
• Subjects: neural networks; evolutionary learning; genetic algorithms; NEAT algorithm; NEAT learning efficiency; neural network architecture; UDC 519.711
• Online Access: https://pp.isofts.kiev.ua/index.php/ojs1/article/view/659
• Journal Title: Problems in programming

This study delves into creating an intelligent control system for self-driving vehicles, utilizing cutting-edge machine learning methods. Central to our approach is the NeuroEvolution of Augmenting Topologies (NEAT) algorithm, implemented in the Python programming language. NEAT plays a pivotal role...