Evidence map›Paper›PMID 33958762›Full record

ReviewNature nanotechnology2021

Nanophotonics for light detection and ranging technology.

Inki Kim, Renato Juliano Martins, Jaehyuck Jang, Trevon Badloe, Samira Khadir, Ho-Youl Jung, Hyeongdo Kim, Jongun Kim, Patrice Genevet, Junsuk Rho

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature nanotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers.

0numbers the graph read from it
0cells of the map it votes in
95citing 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

95 citing papers in PubMed.

  1. Article
  2. Article
  3. TRIM: Simultaneous Thermometry, Ranging, and Imaging via a Monolithic Metalens.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Compound Meta-Optics for Advanced Optical Engineering.Sensors (Basel, Switzerland) · 2026
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Application of metasurface in future displays.Nanophotonics (Berlin, Germany) · 2025
    Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

35 more citing papers are in PubMed but not listed here.

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

10 authors.

Inki Kim *Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea.ORCID http://orcid.org/0000-0001-8686-6670
Renato Juliano Martins *Université Côte d'Azur, Centre de Recherche sur l'Hétéro-Epitaxie et ses Applications (CRHEA), CNRS, Valbonne, France.
Jaehyuck JangDepartment of Chemical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea.
Trevon BadloeDepartment of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea.ORCID http://orcid.org/0000-0001-9458-6062
Samira KhadirUniversité Côte d'Azur, Centre de Recherche sur l'Hétéro-Epitaxie et ses Applications (CRHEA), CNRS, Valbonne, France.
Ho-Youl JungDepartment of Information and Communication Engineering, Yeungnam University, Gyeongsan, Republic of Korea.
Hyeongdo KimAdvanced Technology Research Center, SL Corporation, Gyeongsan, Republic of Korea.
Jongun KimAdvanced Technology Research Center, SL Corporation, Gyeongsan, Republic of Korea.
Patrice GenevetUniversité Côte d'Azur, Centre de Recherche sur l'Hétéro-Epitaxie et ses Applications (CRHEA), CNRS, Valbonne, France. patrice.genevet@crhea.cnrs.fr.ORCID http://orcid.org/0000-0003-0216-3885
Junsuk RhoDepartment of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea. jsrho@postech.ac.kr.ORCID http://orcid.org/0000-0002-2179-2890

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Light detection and ranging (LiDAR) technology, a laser-based imaging technique for accurate distance measurement, is considered one of the most crucial sensor technologies for autonomous vehicles, artificially intelligent robots and unmanned aerial vehicle reconnaissance. Until recently, LiDAR has relied on light sources and detectors mounted on multiple mechanically rotating optical transmitters and receivers to cover an entire scene. Such an architecture gives rise to limitations in terms of the imaging frame rate and resolution. In this Review, we examine how novel nanophotonic platforms could overcome the hardware restrictions of existing LiDAR technologies. After briefly introducing the basic principles of LiDAR, we present the device specifications required by the industrial sector. We then review a variety of LiDAR-relevant nanophotonic approaches such as integrated photonic circuits, optical phased antenna arrays and flat optical devices based on metasurfaces. The latter have already demonstrated exceptional functional beam manipulation properties, such as active beam deflection, point-cloud generation and device integration using scalable manufacturing methods, and are expected to disrupt modern optical technologies. In the outlook, we address the upcoming physics and engineering challenges that must be overcome from the viewpoint of incorporating nanophotonic technologies into commercially viable, fast, ultrathin and lightweight LiDAR systems.

Identifiers

What OpenQuestion holds

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Registered trials

None linked

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.