Paper Info
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.
Year
DOI
Venue
2019
10.23919/EUSIPCO.2019.8903062
2019 27TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO)
Keywords
DocType
ISSN
Bayesian statistics, inverse problems, Lidar, detection, low-photon imaging and sensing
Conference
2076-1465
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Julián Tachella161.50
Yoann Altmann222922.58
S. McLaughlin302.03
Jean-Yves Tourneret41154104.46