Abstract
| Original language | English |
|---|---|
| Title of host publication | 2019 27th European Signal Processing Conference (EUSIPCO) |
| Publisher | IEEE |
| ISBN (Electronic) | 9789082797039 |
| DOIs | |
| Publication status | Published - 18 Nov 2019 |
| Event | 27th European Signal Processing Conference 2019 - A Coruna, Spain, A Coruna, Spain Duration: 2 Sep 2019 → 7 Sep 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 | Spain |
| City | A Coruna |
| Period | 2/09/19 → 7/09/19 |
| Internet address |
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Keywords
- Bayesian statistics
- Detection
- Inverse problems
- Lidar
- Low-photon imaging
- Sensing
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering
Cite this
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Fast surface detection in single-photon Lidar waveforms. / Tachella, Julián; Altmann, Yoann; Tourneret, Jean-Yves; McLaughlin, Stephen.
2019 27th European Signal Processing Conference (EUSIPCO). IEEE, 2019. 8903062 (European Signal Processing Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
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
UR - http://www.scopus.com/inward/record.url?scp=85075598986&partnerID=8YFLogxK
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
ER -