Fast surface detection in single-photon Lidar waveforms

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

doi:10.23919/EUSIPCO.2019.8903062

Fast surface detection in single-photon Lidar waveforms

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

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

7 Citations (Scopus)

98 Downloads (Pure)

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 language	English
Title of host publication	2019 27th European Signal Processing Conference (EUSIPCO)
Publisher	IEEE
ISBN (Electronic)	9789082797039
DOIs	https://doi.org/10.23919/EUSIPCO.2019.8903062
Publication status	Published - 18 Nov 2019
Event	27th European Signal Processing Conference 2019 - A Coruna, Spain, A Coruna, Spain Duration: 2 Sept 2019 → 7 Sept 2019 http://eusipco2019.org/

Publication series

Name	European Signal Processing Conference
ISSN (Electronic)	2076-1465

Conference

Conference	27th European Signal Processing Conference 2019
Abbreviated title	EUSIPCO
Country/Territory	Spain
City	A Coruna
Period	2/09/19 → 7/09/19
Internet address	http://eusipco2019.org/

Keywords

Bayesian statistics
Detection
Inverse problems
Lidar
Low-photon imaging
Sensing

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering

Access to Document

10.23919/EUSIPCO.2019.8903062

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Cite this

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title = "Fast surface detection in single-photon Lidar waveforms",

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.",

keywords = "Bayesian statistics, Detection, Inverse problems, Lidar, Low-photon imaging, Sensing",

author = "Juli{\'a}n Tachella and Yoann Altmann and Jean-Yves Tourneret and Stephen McLaughlin",

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series = "European Signal Processing Conference",

publisher = "IEEE",

booktitle = "2019 27th European Signal Processing Conference (EUSIPCO)",

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note = "27th European Signal Processing Conference 2019, EUSIPCO ; Conference date: 02-09-2019 Through 07-09-2019",

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T1 - Fast surface detection in single-photon Lidar waveforms

AU - Tachella, Julián

AU - Altmann, Yoann

AU - Tourneret, Jean-Yves

AU - McLaughlin, Stephen

PY - 2019/11/18

Y1 - 2019/11/18

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.

KW - Bayesian statistics

KW - Detection

KW - Inverse problems

KW - Lidar

KW - Low-photon imaging

KW - Sensing

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U2 - 10.23919/EUSIPCO.2019.8903062

DO - 10.23919/EUSIPCO.2019.8903062

M3 - Conference contribution

T3 - European Signal Processing Conference

BT - 2019 27th European Signal Processing Conference (EUSIPCO)

PB - IEEE

T2 - 27th European Signal Processing Conference 2019

Y2 - 2 September 2019 through 7 September 2019

ER -

Fast surface detection in single-photon Lidar waveforms

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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