An Improved Far-Field Small Unmanned Aerial System Optical Detection Algorithm

被引：3

作者：

Dolph, Chester ^{[1
]}

Glaab, Louis ^{[1
]}

Allen, Bonnie ^{[2
]}

Consiglio, Maria ^{[3
]}

Iftekharuddin, Khan ^{[4
]}

机构：

[1] NASA, Aeronaut Syst Engn Branch, Hampton, VA 23666 USA

[2] NASA, Autonomous Integrated Syst Res Branch, Hampton, VA USA

[3] NASA, Safety Crit Avion Syst Branch, Hampton, VA USA

[4] Old Dominion Univ, Batten Coll Engn & Technol, Norfolk, VA USA

来源：

2019 IEEE/AIAA 38TH DIGITAL AVIONICS SYSTEMS CONFERENCE (DASC) | 2019年

关键词：

sense and avoid; detect and track small targets; Unmanned Aerial Vehicle collision avoidance;

D O I：

10.1109/dasc43569.2019.9081609

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

Onboard far-field aircraft detection is needed for safe non-cooperative traffic mitigation for autonomous small Unmanned Aerial System (sUAS) operations. This work presents an aircraft detect and track pipeline that fuses image differencing and morphological filtering detections for inputs to a Kalman-based object tracking pipeline. The pipeline is evaluated using two types of flight encounters: 1) motorcopter sUAS vs. fixed-wing sUAS 2) motorcopter sUAS vs general aviation plane.

引用

页数：10

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