Fast surface detection in single-photon Lidar waveforms

Julián Tachella, Yoann Altmann, Jean-Yves Tourneret, Stephen McLaughlin

Research output: Contribution to conferencePaper

Abstract

Single-photon light detection and ranging (Lidar) devices can be used to obtain range and reflectivity information from 3D scenes. However, reconstructing the 3D surfaces from the raw waveforms can be very challenging, in particular when the number of spurious background detections is large compared to the number of signal detections. This paper introduces a new and fast detection algorithm, which can be used to assess the presence of objects/surfaces in each waveform, allowing only the histograms where the imaged surfaces are present to be further processed. The method is compared to state- of-the-art 3D reconstruction methods using synthetic and real single-photon data and the results illustrate its benefits for fast and robust target detection using single-photon data.
Original languageEnglish
Publication statusAccepted/In press - 3 Jun 2019
Event27th European Signal Processing Conference 2019 - A Coruna, Spain, A Coruna, Spain
Duration: 2 Sep 20197 Sep 2019
http://eusipco2019.org/

Conference

Conference27th European Signal Processing Conference 2019
Abbreviated titleEUSIPCO
CountrySpain
CityA Coruna
Period2/09/197/09/19
Internet address

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waveforms
photons
signal detection
histograms
reflectance

Cite this

Tachella, J., Altmann, Y., Tourneret, J-Y., & McLaughlin, S. (Accepted/In press). Fast surface detection in single-photon Lidar waveforms. Paper presented at 27th European Signal Processing Conference 2019, A Coruna, Spain.
Tachella, Julián ; Altmann, Yoann ; Tourneret, Jean-Yves ; McLaughlin, Stephen. / Fast surface detection in single-photon Lidar waveforms. Paper presented at 27th European Signal Processing Conference 2019, A Coruna, Spain.
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abstract = "Single-photon light detection and ranging (Lidar) devices can be used to obtain range and reflectivity information from 3D scenes. However, reconstructing the 3D surfaces from the raw waveforms can be very challenging, in particular when the number of spurious background detections is large compared to the number of signal detections. This paper introduces a new and fast detection algorithm, which can be used to assess the presence of objects/surfaces in each waveform, allowing only the histograms where the imaged surfaces are present to be further processed. The method is compared to state- of-the-art 3D reconstruction methods using synthetic and real single-photon data and the results illustrate its benefits for fast and robust target detection using single-photon data.",
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Tachella, J, Altmann, Y, Tourneret, J-Y & McLaughlin, S 2019, 'Fast surface detection in single-photon Lidar waveforms' Paper presented at 27th European Signal Processing Conference 2019, A Coruna, Spain, 2/09/19 - 7/09/19, .

Fast surface detection in single-photon Lidar waveforms. / Tachella, Julián; Altmann, Yoann; Tourneret, Jean-Yves; McLaughlin, Stephen.

2019. Paper presented at 27th European Signal Processing Conference 2019, A Coruna, Spain.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Fast surface detection in single-photon Lidar waveforms

AU - Tachella, Julián

AU - Altmann, Yoann

AU - Tourneret, Jean-Yves

AU - McLaughlin, Stephen

PY - 2019/6/3

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N2 - Single-photon light detection and ranging (Lidar) devices can be used to obtain range and reflectivity information from 3D scenes. However, reconstructing the 3D surfaces from the raw waveforms can be very challenging, in particular when the number of spurious background detections is large compared to the number of signal detections. This paper introduces a new and fast detection algorithm, which can be used to assess the presence of objects/surfaces in each waveform, allowing only the histograms where the imaged surfaces are present to be further processed. The method is compared to state- of-the-art 3D reconstruction methods using synthetic and real single-photon data and the results illustrate its benefits for fast and robust target detection using single-photon data.

AB - Single-photon light detection and ranging (Lidar) devices can be used to obtain range and reflectivity information from 3D scenes. However, reconstructing the 3D surfaces from the raw waveforms can be very challenging, in particular when the number of spurious background detections is large compared to the number of signal detections. This paper introduces a new and fast detection algorithm, which can be used to assess the presence of objects/surfaces in each waveform, allowing only the histograms where the imaged surfaces are present to be further processed. The method is compared to state- of-the-art 3D reconstruction methods using synthetic and real single-photon data and the results illustrate its benefits for fast and robust target detection using single-photon data.

M3 - Paper

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Tachella J, Altmann Y, Tourneret J-Y, McLaughlin S. Fast surface detection in single-photon Lidar waveforms. 2019. Paper presented at 27th European Signal Processing Conference 2019, A Coruna, Spain.