DOAJ Open Access 2022

High-Speed Three-Dimensional Aerial Vehicle Evasion Based on a Multi-Stage Dueling Deep Q-Network

Yefeng Yang Tao Huang Xinxin Wang Chih-Yung Wen Xianlin Huang

Abstrak

This paper proposes a multi-stage dueling deep Q-network (MS-DDQN) algorithm to address the high-speed aerial vehicle evasion problem. High-speed aerial vehicle pursuit and evasion are an ongoing game attracting significant research attention in the field of autonomous aerial vehicle decision making. However, traditional maneuvering methods are usually not applicable in high-speed scenarios. Independent of the aerial vehicle model, the implemented MS-DDQN-based method searches for an approximate optimal maneuvering policy by iteratively interacting with the environment. Furthermore, the multi-stage learning mechanism was introduced to improve the training data quality. Simulation experiments were conducted to compare the proposed method with several typical evasion maneuvering policies and to reveal the effectiveness and robustness of the proposed MS-DDQN algorithm.

Topik & Kata Kunci

Motor vehicles. Aeronautics. Astronautics

Penulis (5)

Yefeng Yang

Tao Huang

Xinxin Wang

Chih-Yung Wen

Xianlin Huang

Format Sitasi

APA MLA BibTeX

Yang, Y., Huang, T., Wang, X., Wen, C., Huang, X. (2022). High-Speed Three-Dimensional Aerial Vehicle Evasion Based on a Multi-Stage Dueling Deep Q-Network. https://doi.org/10.3390/aerospace9110673

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Informasi Jurnal

Tahun Terbit: 2022
Sumber Database: DOAJ
DOI: 10.3390/aerospace9110673
Akses: Open Access ✓