Adaptivní asistent pro podélné parkování
| Název práce v češtině: | Adaptivní asistent pro podélné parkování |
|---|---|
| Název v anglickém jazyce: | Adaptive parallel parking assistant |
| Klíčová slova: | Automatické parkování|Zpětnovazebné učení|Neuronové sítě |
| Klíčová slova anglicky: | Automatic parking|Reinforcement learning|Neural networks |
| Akademický rok vypsání: | 2021/2022 |
| Typ práce: | diplomová práce |
| Jazyk práce: | čeština |
| Ústav: | Katedra teoretické informatiky a matematické logiky (32-KTIML) |
| Vedoucí / školitel: | Mgr. Roman Neruda, CSc. |
| Řešitel: | skrytý - zadáno a potvrzeno stud. odd. |
| Datum přihlášení: | 09.09.2022 |
| Datum zadání: | 09.09.2022 |
| Datum potvrzení stud. oddělením: | 07.12.2023 |
| Zásady pro vypracování |
| The goal of the thesis is to develop a system for automatic parking motion planning of a vehicle described by a set of parameters. The system should utilize reinforcement learning optimization to develop an efficient parallel parking procedure for an ideal vehicle. To solve this task, a model-based deep reinforcement learning method that learns parking policy of the data from simulated environment and without human intervention or experience will be used. A transfer of the trained network-based policy to vehicles with specified dimensions and other parameters should be also considered. A development of suitable software tool for environment simulation and reinforcement learning will also be a part of the thesis outcome. |
| Seznam odborné literatury |
| Balhara, Surjeet & Gupta, Nishu & Alkhayyat, Ahmed & Bharti, Isha & Malik, Rami & Mahmood, Sarmad & Abedi, Firas. (2022). A survey on deep reinforcement learning architectures, applications and emerging trends. IET Communications, 10.1049/cmu2.12447.
Ian Goodfellow and Yoshua Bengio and Aaron Courville. (2016) Deep Learning, MIT Press, http://www.deeplearningbook.org Y Zhuang, Q Gu, B Wang, J Luo, H Zhang, W Liu (2018): Robust Auto-parking: Reinforcement Learning based Real-time Planning Approach with Domain Template, NeurIPS workshop on MLITS. Zhang, Jiren & Chen, Hui & Song, Shaoyu & Hu, Fengwei. (2020). Reinforcement Learning-Based Motion Planning for Automatic Parking System. IEEE Access. pp. 1-1,. 10.1109/ACCESS.2020.3017770. |