Autonomous car parking Model for different types of parking lots using deep reinforcement learning
This article explores the simulation of automated parking in a virtual environment with various types of parking lots. The objective of this research is to develop an intelligent model for autonomous parking that achieves high efficiency under simulated conditions across a broad range of common par...
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| Format: | Article |
| Language: | English |
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Igor Sikorsky Kyiv Polytechnic Institute
2025-02-01
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| Series: | Adaptivni Sistemi Avtomatičnogo Upravlinnâ |
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| Online Access: | https://asac.kpi.ua/article/view/323821 |
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| author | В. Олійник Ю. Данилюк |
| author_facet | В. Олійник Ю. Данилюк |
| author_sort | В. Олійник |
| collection | DOAJ |
| description |
This article explores the simulation of automated parking in a virtual environment with various types of parking lots. The objective of this research is to develop an intelligent model for autonomous parking that achieves high efficiency under simulated conditions across a broad range of common parking lot types. We use a deep reinforcement learning approach using the Proximal Policy Optimization (PPO) algorithm, complemented by Behavioural Cloning and Generative Adversarial Imitation Learning. Our fine-tuned model achieves state-of-the-art parking accuracy, ranging from 96.3% to 99.34%, depending on the type of parking lot. The developed simulation environment, based on the Unity game engine and the MLAgents plugin, enables high-quality visualization, simulation, and modelling capabilities, making it valuable for both educational and research purposes.
Ref. 18, pic. 5, tabl. 2
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| format | Article |
| id | doaj-art-064dc97ad3884d8bbb9fe6e96567282b |
| institution | DOAJ |
| issn | 1560-8956 2522-9575 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Igor Sikorsky Kyiv Polytechnic Institute |
| record_format | Article |
| series | Adaptivni Sistemi Avtomatičnogo Upravlinnâ |
| spelling | doaj-art-064dc97ad3884d8bbb9fe6e96567282b2025-08-20T02:42:46ZengIgor Sikorsky Kyiv Polytechnic InstituteAdaptivni Sistemi Avtomatičnogo Upravlinnâ1560-89562522-95752025-02-0114610.20535/1560-8956.46.2025.323821362596Autonomous car parking Model for different types of parking lots using deep reinforcement learningВ. Олійник0Ю. Данилюк1Igor Sikorsky Kyiv Polytechnic InstituteIgor Sikorsky Kyiv Polytechnic Institute This article explores the simulation of automated parking in a virtual environment with various types of parking lots. The objective of this research is to develop an intelligent model for autonomous parking that achieves high efficiency under simulated conditions across a broad range of common parking lot types. We use a deep reinforcement learning approach using the Proximal Policy Optimization (PPO) algorithm, complemented by Behavioural Cloning and Generative Adversarial Imitation Learning. Our fine-tuned model achieves state-of-the-art parking accuracy, ranging from 96.3% to 99.34%, depending on the type of parking lot. The developed simulation environment, based on the Unity game engine and the MLAgents plugin, enables high-quality visualization, simulation, and modelling capabilities, making it valuable for both educational and research purposes. Ref. 18, pic. 5, tabl. 2 https://asac.kpi.ua/article/view/323821automatic parkingself-driving cardeep reinforcement learningProximal Policy OptimizationML-AgentsUnity |
| spellingShingle | В. Олійник Ю. Данилюк Autonomous car parking Model for different types of parking lots using deep reinforcement learning Adaptivni Sistemi Avtomatičnogo Upravlinnâ automatic parking self-driving car deep reinforcement learning Proximal Policy Optimization ML-Agents Unity |
| title | Autonomous car parking Model for different types of parking lots using deep reinforcement learning |
| title_full | Autonomous car parking Model for different types of parking lots using deep reinforcement learning |
| title_fullStr | Autonomous car parking Model for different types of parking lots using deep reinforcement learning |
| title_full_unstemmed | Autonomous car parking Model for different types of parking lots using deep reinforcement learning |
| title_short | Autonomous car parking Model for different types of parking lots using deep reinforcement learning |
| title_sort | autonomous car parking model for different types of parking lots using deep reinforcement learning |
| topic | automatic parking self-driving car deep reinforcement learning Proximal Policy Optimization ML-Agents Unity |
| url | https://asac.kpi.ua/article/view/323821 |
| work_keys_str_mv | AT volíjnik autonomouscarparkingmodelfordifferenttypesofparkinglotsusingdeepreinforcementlearning AT ûdanilûk autonomouscarparkingmodelfordifferenttypesofparkinglotsusingdeepreinforcementlearning |