Evidence map›Paper›PMID 34045553›Full record

ArticleScientific reports2021

Robust real-time 3D imaging of moving scenes through atmospheric obscurant using single-photon LiDAR.

Rachael Tobin, Abderrahim Halimi, Aongus McCarthy, Philip J Soan, Gerald S Buller

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Rachael TobinSchool of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, EH14 4AS, UK. r.tobin@hw.ac.uk.
Abderrahim HalimiSchool of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, EH14 4AS, UK.
Aongus McCarthySchool of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, EH14 4AS, UK.
Philip J SoanDefence Science and Technology Laboratory, Porton Down, Salisbury, SP4 0LQ, UK.
Gerald S BullerSchool of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, EH14 4AS, UK.

Funding

Defence and Security Accelerator DSTLX1000147844Defence Science and Technology Laboratory DSTLX1000095645RDefence Science and Technology Laboratory DSTLX1000108233Engineering and Physical Sciences Research Council EP/N003446/1Royal Academy of Engineering Research Fellowship Scheme RF/201718/17128
6 · The paper itself

Abstract

Recently, time-of-flight LiDAR using the single-photon detection approach has emerged as a potential solution for three-dimensional imaging in challenging measurement scenarios, such as over distances of many kilometres. The high sensitivity and picosecond timing resolution afforded by single-photon detection offers high-resolution depth profiling of remote, complex scenes while maintaining low power optical illumination. These properties are ideal for imaging in highly scattering environments such as through atmospheric obscurants, for example fog and smoke. In this paper we present the reconstruction of depth profiles of moving objects through high levels of obscurant equivalent to five attenuation lengths between transceiver and target at stand-off distances up to 150 m. We used a robust statistically based processing algorithm designed for the real time reconstruction of single-photon data obtained in the presence of atmospheric obscurant, including providing uncertainty estimates in the depth reconstruction. This demonstration of real-time 3D reconstruction of moving scenes points a way forward for high-resolution imaging from mobile platforms in degraded visual environments.

Identifiers

PMID34045553
PMCPMC8159934

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.