Autonomous Situational Awareness for UAS Swarms

被引：2
|
作者：
Hill, Vincent W. [1 ]
Thomas, Ryan W. [1 ]
Larson, Jordan D. [1 ]
机构：
[1] Univ Alabama, Dept Aerosp Engn, Tuscaloosa, AL 35487 USA
来源：
2021 IEEE AEROSPACE CONFERENCE (AEROCONF 2021) | 2021年
关键词：
RANDOM FINITE SETS;
D O I：
10.1109/AERO50100.2021.9438461
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
This paper describes a technique for the autonomous mission planning of unmanned aerial system swarms. Given a swarm operating in a known area, a central command system generates measurements from the swarm. If those measurements indicate changes to the mission situation such as target movement, the swarm planning is updated to reflect the new situation and guidance updates are broadcast to the swarm. The primary algorithms featured in this work are A* pathfinding and the Generalized Labeled Multi-Bernoulli multi-target tracking method.
引用
收藏
页数：6
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