Relative Localization for Swarm Aerial Vehicles

被引：0

作者：

Aytekin, Alptug ^{[1
]}

Bagci, Furkan ^{[1
]}

Bozdag, Mustafa ^{[1
]}

Camuzcu, Nisanur ^{[1
]}

Duru, Alperen ^{[1
]}

Elma, Mehmet Saim ^{[1
]}

Maghsoudi, Amirhossein ^{[1
]}

Barshan, Billur ^{[1
]}

Kose, Serdar ^{[2
]}

Akman, Caglar ^{[2
]}

机构：

[1] Bilkent Univ, Elekt & Elekt Muhendisligi Bolumu, Ankara, Turkey

[2] HAVELSAN AS, Komuta Kontrol & Savunma Teknol, Ankara, Turkiye

来源：

2022 30TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, SIU | 2022年

关键词：

UAV; GNSS; UWB; formation; UAV swarm; relative localization;

D O I：

10.1109/SIU55565.2022.9864801

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In Unmanned Aerial Vehicle (UAV) swarm formation, it is required that UAVs in the swarm should have the location information of other swarm members and all UAVs should be a part of the decision process. Global Navigation Satellite Systems, GNSS, is not a viable option for dense formation flight due to its low accuracy and susceptibility to jamming. To overcome these issues, ultra-wideband (UWB) signals can be used. UWB signals are resilient to jamming and can be used for highly accurate localization algorithms, thanks to their wide bandwidth. In this paper, two techniques on relative localization of the swarm members by utilizing UWB signals are proposed and tested. Their localization performance results are presented.

引用

页数：4

共 50 条

[31] Multimodal Absolute Visual Localization for Unmanned Aerial Vehicles
Liu, Zhunga
Li, Huandong
Zhang, Zuowei
Lyu, Yanyi
Xiong, Jiexuan
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2024, 73 (11) : 16402 - 16415
[32] Indoor Localization of Unmanned Aerial Vehicles Based on RSSI
Stojkoska, Biljana Risteska
Palikrushev, Jordan
Trivodaliev, Kire
Kalajdziski, Slobodan
17TH IEEE INTERNATIONAL CONFERENCE ON SMART TECHNOLOGIES - IEEE EUROCON 2017 CONFERENCE PROCEEDINGS, 2017, : 120 - 125
[33] Multi Map Visual Localization for Unmanned Aerial Vehicles
Lomo, Tobias
Torresen, Jim
Kolberg, Mariana
Maffei, Renan
IEEE ROBOTICS AND AUTOMATION LETTERS, 2025, 10 (02): : 1353 - 1360
[34] Accurate road user localization in aerial images captured by unmanned aerial vehicles
Lu, Linjun
Dai, Fei
AUTOMATION IN CONSTRUCTION, 2024, 158
[35] Cooperative Localization for Fixed Wing Unmanned Aerial Vehicles
Chakraborty, Anusna
Sharma, Rajnikant
Taylor, Clark N.
Brink, Kevin M.
PROCEEDINGS OF THE 2016 IEEE/ION POSITION, LOCATION AND NAVIGATION SYMPOSIUM (PLANS), 2016, : 106 - 117
[36] Localization of Unmanned Aerial Vehicles Using Terrain Classification from Aerial Images
Masselli, Andreas
Hanten, Richard
Zell, Andreas
INTELLIGENT AUTONOMOUS SYSTEMS 13, 2016, 302 : 831 - 842
[37] Decentralized Control for a Swarm of Vehicles Performing Source Localization
J. E. Hurtado
R. D. Robinett III
C. R. Dohrmann
S.Y. Goldsmith
Journal of Intelligent and Robotic Systems, 2004, 41 : 1 - 18
[38] Decentralized control for a swarm of vehicles performing source localization
Hurtado, JE
Robinett, RD
Dohrmann, CR
Goldsmith, SY
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2004, 41 (01) : 1 - 18
[39] Robust Localization of Aerial Vehicles via Active Control of Identical Ground Vehicles
Spasojevic, Igor
Liu, Xu
Prabhu, Ankit
Ribeiro, Alejandro
Pappas, George J.
Kumar, Vijay
2023 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, IROS, 2023, : 3048 - 3055
[40] Collaborative Localization Method Based on Hybrid Network for Aerial Swarm
Wang, Rong
Zhang, Huiyuan
Gu, Chen
Xiong, Zhi
Liu, Jianye
AEROSPACE, 2024, 11 (04)

← 1 2 3 4 5 →