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公开(公告)号:US10271239B2
公开(公告)日:2019-04-23
申请号:US15608571
申请日:2017-05-30
发明人: He Luo , Guoqiang Wang , Xiaoxuan Hu , Huawei Ma , Peng Jin , Wei Xia
摘要: A method and a system for reoptimizing unmanned aerial vehicle formation communication topology based on minimum cost arborescence are used for optimizing reconstructed UAV formation communication topology after a communication failure occurs on the UAVs in the formation. The method includes calculating a first communication cost of the reconstructed UAV formation communication topology; comparing the first communication cost with a target communication cost for the minimum cost arborescence of the formation communication diagram under a predetermined state; when the first communication cost is greater than the target communication cost for the minimum cost arborescence of the formation communication diagram under the predetermined state, optimizing the reconstructed UAV formation communication topology through a predetermined strategy.
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公开(公告)号:US09929914B2
公开(公告)日:2018-03-27
申请号:US15460369
申请日:2017-03-16
发明人: He Luo , Guoqiang Wang , Xiaoxuan Hu , Huawei Ma , Peng Jin , Wei Xia
CPC分类号: H04L41/12 , B64C39/024 , B64C2201/143 , H04B7/18506 , H04L41/0668 , H04L67/12
摘要: The present disclosure provides a method and system for reconstructing UAV formation communication topology based on minimum cost arborescence, the method comprising: monitoring broadcast communication channel, and judging whether communication failure occurs in UAV in formation; modifying formation communication diagram according to the type of communication failure when communication failure occurs in the UAV; calculating minimum cost arborescence of modified formation communication diagram, and reconstructing UAV formation communication topology according to calculation results. The present disclosure realizes rapid reconstruction of communication topology so as to avoid occurrence of UAV collision accident and restore formation after detecting communication failure, by modifying formation communication diagram according to the type of communication failure and calculating minimum cost arborescence of modified formation communication diagram to reconstruct UAV formation communication topology when communication failure occurs in UAV.
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3.
公开(公告)号:US11708179B2
公开(公告)日:2023-07-25
申请号:US17007157
申请日:2020-08-31
发明人: Xiaoxuan Hu , Tianyang Gao , Yunhui Wang , Haiquan Sun , Huawei Ma , Guoqiang Wang , Yi Wu , Waiming Zhu
CPC分类号: B64G1/1021 , B64G2001/1028 , G01C21/3852 , G06V20/13
摘要: The present invention discloses a partition satellite mission planning method for earliest completion of regional target coverage, which includes the following steps: 1. partitioning a to-be-observed rectangular region; 2. allocating observation resources to different regions and selecting certain coverage opportunities and coverage modes thereof to minimize completion time corresponding to a formed coverage solution. The present invention can obtain a satisfactory solution capable of finishing complete coverage of regional targets as early as possible with sufficient observation resources through suitable calculation resources and achieve balance between the consumption of calculation resources and optimality of solutions, so that satellite resources can be fully used to conduct the quick and effective coverage search for important regional targets in a real environment.
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4.
公开(公告)号:US10140875B1
公开(公告)日:2018-11-27
申请号:US15953881
申请日:2018-04-16
发明人: He Luo , Guoqiang Wang , Zhengzheng Liang , Xiaoxuan Hu , Shanlin Yang , Huawei Ma , Wei Xia , Peng Jin , Moning Zhu , Yanqiu Niu , Xiang Fang
CPC分类号: G08G5/0043 , B64C39/024 , B64C2201/141 , G06N3/126 , G06Q10/047 , G08G5/0013 , G08G5/0026 , G08G5/0039
摘要: The embodiments of the present invention disclose a method and apparatus for joint optimization of multi-UAV task assignment and path planning. The method comprises: obtaining the location information of a plurality of UAVs and a plurality of target points, the dispersion of groundspeed course angle, and motion parameters of each UAV and wind field; constructing an initial population based on the location information, the dispersion of groundspeed course angle and a preset genetic algorithm; determining the flight status of each UAV and the flight time taken by each UAV to complete a path segment of the corresponding Dubins flight path based on the initial population and the motion parameters, obtaining the total time taken by all the UAVs corresponding to each chromosome to complete the task based on the flight time of the path segment; and subjecting the chromosomes in the initial population to crossover and mutation based on the genetic algorithm and, when a predetermined number of iterations is reached, selecting the optimal Dubins flight path as the joint optimization result. In the embodiments of the present invention, the UAV flight path planning problem is combined with the actual flight environment of the UAV, so that the optimal flight path obtained is superior to the solution in which the UAV speed is constant.
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公开(公告)号:US11378987B2
公开(公告)日:2022-07-05
申请号:US16688433
申请日:2019-11-19
发明人: He Luo , Peng Zhang , Guoqiang Wang , Moning Zhu , Xiaoxuan Hu , Ju Wang , Xiaoduo Li , Wei Xia , Peng Jin , Huawei Ma
摘要: The embodiments of the present disclosure provide a method and system for patrolling an expressway by unmanned aerial vehicles (UAVs). The method is applied to the system including a control center, a plurality of UAVs and a plurality of advertising board charging base stations. The method firstly receives unmanned aerial vehicle (UAV) status information sent by the plurality of unmanned aerial vehicles and road section patrolling data through the control center, and receives advertising board charging base station information sent by the plurality of advertising board charging base stations, then classifies, stores and analyzes the received data and information, and finally generates and sends control commands for the UAVs and charging advertising boards. On one hand, the technical solutions of the present disclosure may comprehensively schedule an UAV formation, may also comprehensively control the advertising board charging base stations, and may further dispose and schedule task responses; and on the other hand, the technical solutions of the present disclosure may analyze situations of accidents, violations and the like and scheduling and usage of the UAVs and the advertising board charging base stations, thereby providing decision support data for the control center.
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