International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Development and Evaluation of Autonomous Parking System Utilising Reinforcement Learning Agents Within Unity3D Environment

Author(s) Kushagra, Abhinav Sajjan, Shreyashi Jaiswal, Himanshu Mishra, Samender Singh
Country India
Abstract This paper describes how RL agents in the Unity Environment can perform parking. The goal of the study is to propose a method that makes use of reinforcement learning techniques offered by the Unity ML-Agents framework within Unity’s realistic 3D simulation in order to solve the requirement for autonomous parking solutions. The suggested solution’s design, execution, and assessment are highlighted in the paper. In complex situations, the system offers an adaptive and realistic framework for autonomous parking. The outcomes of thorough performance testing and comparative analysis highlight the usefulness and promise of the suggested approach in the area of autonomous car parking. The discussion of the results, difficulties faced, and prospects for additional study and advancement in autonomous car parking technology round up the report.
Keywords Unity ML-Agents, Unity Game Engine, Autonomous Park- ing System, Reinforcement Learning
Field Computer Applications
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-06-02
Cite This Development and Evaluation of Autonomous Parking System Utilising Reinforcement Learning Agents Within Unity3D Environment - Kushagra, Abhinav Sajjan, Shreyashi Jaiswal, Himanshu Mishra, Samender Singh - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.21878
DOI https://doi.org/10.36948/ijfmr.2024.v06i03.21878
Short DOI https://doi.org/gtxrph
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