Uav – virtual migration based on obstacle avoidance model

Ci Fong He, Chin Feng Lai, Shau Yin Tseng, Ying Hsun Lai

研究成果: Conference contribution

摘要

In recent years, the obstacles avoidance technology of unmanned aerial vehicles has been developed rapidly. It takes a lot of manpower to control un-manned aerial vehicles, so many researches use reinforcement learning to make unmanned aerial vehicles fly autonomously. In the real environment using rein-for cement learning to train aircraft is an expensive and time-consuming work, because reinforcement learning is a way to learn from mistakes, so there are often bumps in the learning process. In Wu’s research, they trained a good model, but the realistic environment and simulation environment differs very big, so we will train this model again and transferred to the real environment, makes unmanned aerial vehicle in the realistic environment can use cheaper and quickly achieve the same task.

原文English
主出版物標題Cognitive Cities - 2nd International Conference, IC3 2019, Revised Selected Papers
編輯Jian Shen, Yao-Chung Chang, Yu-Sheng Su, Hiroaki Ogata
發行者Springer
頁面27-34
頁數8
ISBN(列印)9789811561122
DOIs
出版狀態Published - 2020
事件2nd International Cognitive Cities Conference, IC3 2019 - Kyoto, Japan
持續時間: 2019 九月 32019 九月 6

出版系列

名字Communications in Computer and Information Science
1227 CCIS
ISSN(列印)1865-0929
ISSN(電子)1865-0937

Conference

Conference2nd International Cognitive Cities Conference, IC3 2019
國家/地區Japan
城市Kyoto
期間19-09-0319-09-06

All Science Journal Classification (ASJC) codes

  • 電腦科學(全部)
  • 數學(全部)

指紋

深入研究「Uav – virtual migration based on obstacle avoidance model」主題。共同形成了獨特的指紋。

引用此