Echolocation as Acoustic Form of Relative Positioning

• Autorzy: Targowski Piotr , Furtak Janusz

Identyfikatory

DOI

10.12716/1001.19.01.30

• Języki publikacji: EN

Abstrakty

EN

To introduce order in the movement of many objects, they need to avoid collisions with their neighbours by knowing their position and reacting to it. This paper proposes using sound localisation, which can be used for short distances because of its limitations. The study is focused on implementing small distance echolocation for the relative positioning of objects by comparing the time difference of arrival to microphones used by the same object. Unlike previous works that rely on communication or external infrastructure this method allows each autonomous system to localise neighbour using only passive sound signals and on-board microphone array. The research aims to develop a navigation system for mobile objects moving in a swarm without communication between the objects. The study develops an alternative for GPS and visual navigation with limitations in specific environments. The software created showed the effectiveness and weakness of echolocation as the choice for different environments, increasing the need to use more types of navigation for drone swarms. This work contributes and early-stage lightweight approach to relative positioning in UAV swarms and provides insight into integrating acoustic sensing into hybrid navigation systems.

Słowa kluczowe

EN

navigation systems; acoustic navigation; unmanned aerial vehicles; UAVs; relative positioning; echolocation; swarm navigation; sensor technologies; hybrid navigation

• Wydawca: Faculty of Navigation, Gdynia Maritime University
• Czasopismo: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
• Rocznik: 2025
• Tom: Vol. 19 No. 1
• Strony: 259--264
• Opis fizyczny: Bibliogr. 7 poz., rys., tab.

Twórcy

autor

Targowski Piotr

• Military University of Technology, Warsaw, Poland

autor

Furtak Janusz

• Military University of Technology, Warsaw, Poland

Bibliografia

• [1] F. Dümbgen, A. Hoffet, M. Kolundžija, A. Scholefield, M. Vetterli. Blind as a bat: audible echolocation on small robots. IEEE Robotics and Automation Letters, 2023
• [2] W. Luo, Q. Song, Z. Yan, R. Tan, G. Lin. Indoor Smartphone SLAM with Learned Echoic Location Features. IEEE Transactions on Mobile Computing, 2023
• [3] Z. Li, C. Jiang, X. Gu, Y. Xu, F. Zhou, J. Cui, Collaborative positioning for swarms: A brief survey of vision, LiDAR and wireless sensors based methods. Defence Technology, Volume 33, 2024
• [4] J. Price. What is echolocation and which animals use it? 2022. https://www.discoverwildlife.com/animal-facts/what-is-echolocation
• [5] Long, M.R. & Savage, J.G. Mammal Evolution. New York: Harper, 1976
• [6] M. Gröhn, T. Lokki, T. Takala. Comparison of auditory, visual, and audio-visual navigation in a 3D space ACM Transactions on Applied Perception, 2005
• [7] F. Grondin, D. Ltourneau, C.Godin, J.-S. Lauzon, J. Vincent, S. Michaud, S. Faucher, F. Michaud. ODAS: Open embeddeD Audition System. Frontiers Robotics and AI, 2022

Uwagi

1. Pełne imiona podano na stronie internetowej czasopisma w "Author index."

2. Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).