Through Thick and Thin: Imaging through Obscurant using SPAD array

Joyce Mau, Vladimyros Devrelis, Geoffrey Day, Graeme Nash, Jochen Trumpf, Dennis Delic

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    6 Citations (Scopus)

    Abstract

    Preliminary work on 3D image collection and classification of targets in the presence of obscurant using a Flash LiDAR system is discussed in this paper. The system is based around a DST designed 32 x 32 Single Photon Avalanche Diode (SPAD) array to image either targets or silhouettes of targets. The collected data included military targets that were obscured either by camouflage nets or fog. For camouflage net, the target was detected using an algorithm implemented on the Nvidia Jetson TX2. Targets obscured by fog are detected and classified where the classification accuracy is 100% for fog visibility down to 17.3m and 89.5% for 14.1m. This algorithm was not implemented on the TX2 but its simplicity shows potential for it in the future. This initial approach opens the road to eventually operate SPAD based systems for real-time classification through dust or smoke.

    Original languageEnglish
    Title of host publicationIEEE Sensors, SENSORS 2020 - Conference Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781728168012
    DOIs
    Publication statusPublished - 25 Oct 2020
    Event2020 IEEE Sensors, SENSORS 2020 - Virtual, Rotterdam, Netherlands
    Duration: 25 Oct 202028 Oct 2020

    Publication series

    NameProceedings of IEEE Sensors
    Volume2020-October
    ISSN (Print)1930-0395
    ISSN (Electronic)2168-9229

    Conference

    Conference2020 IEEE Sensors, SENSORS 2020
    Country/TerritoryNetherlands
    CityVirtual, Rotterdam
    Period25/10/2028/10/20

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