Drone orientation detection at a distance of 50 m using a SPAD array camera

Stirling Scholes; Alice Ruget; German M. Martin; Feng Zhu; Istvan Gyongy; Robert K. Henderson; Jonathan Leach

doi:10.1364/ISA.2021.ITu6B.4

Drone orientation detection at a distance of 50 m using a SPAD array camera

Stirling Scholes
, Alice Ruget
, German M. Martin
, Feng Zhu
, Istvan Gyongy
, Robert K. Henderson
, Jonathan Leach^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We present the classification of a quadcopter’s heading in flight at ranges in excess of 50 metres using a single-photon avalanche detector (SPAD) based time-of-flight system in conjunction with a convolutional neural network (CNN).

Original language	English
Title of host publication	Imaging Systems and Applications 2021
Publisher	Optica Publishing Group
ISBN (Electronic)	9781943580897
DOIs	https://doi.org/10.1364/ISA.2021.ITu6B.4
Publication status	Published - 19 Jul 2021
Event	Imaging Systems and Applications 2021 - Virtual, Online, United States Duration: 19 Jul 2021 → 23 Jul 2021

Conference

Conference	Imaging Systems and Applications 2021
Abbreviated title	ISA 2021
Country/Territory	United States
City	Virtual, Online
Period	19/07/21 → 23/07/21

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Mechanics of Materials

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10.1364/ISA.2021.ITu6B.4

Cite this

@inproceedings{549dd018abbe47e89635d1c4f47eff69,

title = "Drone orientation detection at a distance of 50 m using a SPAD array camera",

abstract = "We present the classification of a quadcopter{\textquoteright}s heading in flight at ranges in excess of 50 metres using a single-photon avalanche detector (SPAD) based time-of-flight system in conjunction with a convolutional neural network (CNN).",

author = "Stirling Scholes and Alice Ruget and Martin, \{German M.\} and Feng Zhu and Istvan Gyongy and Henderson, \{Robert K.\} and Jonathan Leach",

note = "Funding Information: The authors would like to thank the Defence Science and Technology Laboratory (DSTL) for funding this work. The authors declare no conflict of interest in the production or publication of this work. Publisher Copyright: {\textcopyright} 2021 The Author(s); Imaging Systems and Applications 2021, ISA 2021 ; Conference date: 19-07-2021 Through 23-07-2021",

year = "2021",

month = jul,

day = "19",

doi = "10.1364/ISA.2021.ITu6B.4",

language = "English",

booktitle = "Imaging Systems and Applications 2021",

publisher = "Optica Publishing Group",

address = "United States",

}

TY - GEN

T1 - Drone orientation detection at a distance of 50 m using a SPAD array camera

AU - Scholes, Stirling

AU - Ruget, Alice

AU - Martin, German M.

AU - Zhu, Feng

AU - Gyongy, Istvan

AU - Henderson, Robert K.

AU - Leach, Jonathan

N1 - Funding Information: The authors would like to thank the Defence Science and Technology Laboratory (DSTL) for funding this work. The authors declare no conflict of interest in the production or publication of this work. Publisher Copyright: © 2021 The Author(s)

PY - 2021/7/19

Y1 - 2021/7/19

N2 - We present the classification of a quadcopter’s heading in flight at ranges in excess of 50 metres using a single-photon avalanche detector (SPAD) based time-of-flight system in conjunction with a convolutional neural network (CNN).

AB - We present the classification of a quadcopter’s heading in flight at ranges in excess of 50 metres using a single-photon avalanche detector (SPAD) based time-of-flight system in conjunction with a convolutional neural network (CNN).

UR - https://www.scopus.com/pages/publications/85119483999

U2 - 10.1364/ISA.2021.ITu6B.4

DO - 10.1364/ISA.2021.ITu6B.4

M3 - Conference contribution

AN - SCOPUS:85119483999

BT - Imaging Systems and Applications 2021

PB - Optica Publishing Group

T2 - Imaging Systems and Applications 2021

Y2 - 19 July 2021 through 23 July 2021

ER -

Drone orientation detection at a distance of 50 m using a SPAD array camera

Abstract

Conference

ASJC Scopus subject areas

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