Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ronglei Xie"'
Publikováno v:
IEEE Access, Vol 9, Pp 24884-24900 (2021)
Path planning is one of the key technologies for autonomous flight of Unmanned Aerial Vehicle. Traditional path planning algorithms have some limitations and deficiencies in the complex and dynamic environment. In this article, we propose a deep rein
Externí odkaz:
https://doaj.org/article/7af839ada11b468aaa513016ec929502
Publikováno v:
Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022) ISBN: 9789819904785
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc04f698c15e0d13a15bea6fd62a734e
https://doi.org/10.1007/978-981-99-0479-2_277
https://doi.org/10.1007/978-981-99-0479-2_277
Publikováno v:
Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022) ISBN: 9789819904785
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88075793bd1034826f5d00cc1a378e68
https://doi.org/10.1007/978-981-99-0479-2_359
https://doi.org/10.1007/978-981-99-0479-2_359
Publikováno v:
2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT).
Publikováno v:
Science progress. 103(1)
In order to solve the problem that the existing reinforcement learning algorithm is difficult to converge due to the excessive state space of the three-dimensional path planning of the unmanned aerial vehicle, this article proposes a reinforcement le
Publikováno v:
Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence.
At present, drones are rapidly developing in the aviation industry and are applied to all aspects of life. However, letting drones autonomously avoid obstacles is still the focus of research by aviation scholars at this stage. However, the current au
Publikováno v:
Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence.
Due to the effect of atmospheric light scattering, the quality of images taken under haze weather conditions will be seriously degraded. These characteristics affect the judgment and extraction of image features and reduce the application value of im