Title:
PATH OPTIMIZATION METHOD AND DEVICE FOR UNMANNED AERIAL VEHICLE, AND STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2021/017227
Kind Code:
A1
Abstract:
A path optimization method for an unmanned aerial vehicle (102). The method comprises: obtaining status data and action decision-making data of an unmanned aerial vehicle (102) during a flight thereof (202); determining, according to the status data and the action decision-making data of the unmanned aerial vehicle (102), the instantaneous energy efficiency of the unmanned aerial vehicle (102) (204); training a pre-built deep reinforcement learning network (1064) using the status data as input, the action decision-making data as output, and the instantaneous energy efficiency as a reward, and optimizing a policy parameter of the deep reinforcement learning network (1064) (206); and outputting, according to the trained deep reinforcement learning network (1064), a flight policy of the unmanned aerial vehicle (102) (208). Further provided are a path optimization device (106) for an unmanned aerial vehicle, and a computer-readable storage medium (704).
Inventors:
XU WENJUN (CN)
XU YUE (CN)
WU SILEI (CN)
ZHANG ZHI (CN)
ZHANG PING (CN)
LIN JIARU (CN)
XU YUE (CN)
WU SILEI (CN)
ZHANG ZHI (CN)
ZHANG PING (CN)
LIN JIARU (CN)
Application Number:
PCT/CN2019/114200
Publication Date:
February 04, 2021
Filing Date:
October 30, 2019
Export Citation:
Assignee:
UNIV BEIJING POSTS & TELECOMM (CN)
International Classes:
G05D1/10
Foreign References:
| CN109445456A | 2019-03-08 | |||
| CN109343341A | 2019-02-15 | |||
| CN106019950A | 2016-10-12 | |||
| CN108594638A | 2018-09-28 | |||
| CN109639377A | 2019-04-16 | |||
| KR20100016909A | 2010-02-16 |
Attorney, Agent or Firm:
BEIJING FORESTSONG PATENT AGENCY CO., LTD. (CN)
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