Survey of RPAS Autonomous Control Systems Using Artificial Intelligence

被引：15

作者：

Aibin, Michal ^{[1
]}

Aldiab, Motasem ^{[1
]}

Bhavsar, Ruchi ^{[2
]}

Lodhra, Jasleen ^{[1
]}

Reyes, Mino ^{[2
]}

Rezaeian, Fifi ^{[1
]}

Saczuk, Eric ^{[3
]}

Taer, Mahsa ^{[1
]}

Taer, Maryam ^{[1
]}

机构：

[1] British Columbia Inst Technol, Dept Comp, Vancouver, BC V6B 3H6, Canada

[2] Northeastern Univ, Khoury Coll Comp Sci, Vancouver Campus, Vancouver, BC V6B 5A6, Canada

[3] British Columbia Inst Technol, RPAS Hub, Burnaby, BC V5G 3H2, Canada

来源：

IEEE ACCESS | 2021年 / 9卷

关键词：

Remotely piloted aircraft; Safety; Navigation; Control systems; Temperature measurement; Decision making; Automation; RPAS; UAV; AI; drones; control; K-MEANS; DRONE; TECHNOLOGIES; AVOIDANCE; VEHICLE;

D O I：

10.1109/ACCESS.2021.3136226

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this survey, we look at the overall idea of Remotely Piloted Aircraft Systems (RPAS) and autonomous control, as well as RPAS infrastructure, levels of autonomy, and current benefits and difficulties in the field when utilizing Artificial Intelligence. While current remotely piloted aircraft systems have a manual pilot operator to provide double-layer security and safety, studies show that having RPAS with a fully autonomous vehicle at its centre could significantly improve decision-making and overall mission precision, accuracy, safety, and efficiency.

引用

页码：167580 / 167591

页数：12

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