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Plasmonic Trapping and Release of Nanoparticles in a Monitoring Environment

Plasmonic Trapping and Release of Nanoparticles in a Monitoring Environment

Published on: April 4, 2017

Nanophotonics for light detection and ranging technology.

Inki Kim¹, Renato Juliano Martins², Jaehyuck Jang³

¹Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea.

Nature Nanotechnology

|May 7, 2021

Summary

Novel nanophotonic platforms offer a path beyond mechanical limitations in Light Detection and Ranging (LiDAR) systems. These advancements promise faster, higher-resolution LiDAR for autonomous vehicles and robotics.

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Biomolecular Imaging of Cellular Uptake of Nanoparticles using Multimodal Nonlinear Optical Microscopy

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Published on: May 16, 2022

Area of Science:

Optics and Photonics
Sensor Technology
Robotics and Autonomous Systems

Background:

Light Detection and Ranging (LiDAR) is a critical sensor technology for autonomous vehicles, AI robots, and UAVs, enabling accurate distance measurement.
Traditional LiDAR systems use mechanically rotating optical components, limiting frame rates and resolution.
Existing architectures face hardware restrictions that hinder performance improvements.

Purpose of the Study:

To review how novel nanophotonic platforms can overcome the hardware limitations of current LiDAR technologies.
To present essential device specifications for industrial LiDAR applications.
To explore the potential of nanophotonics to revolutionize LiDAR systems.

Main Methods:

Review of nanophotonic approaches relevant to LiDAR, including integrated photonic circuits and optical phased antenna arrays.
Focus on metasurface-based flat optical devices for beam manipulation.
Analysis of scalable manufacturing methods for device integration.

Main Results:

Metasurfaces demonstrate exceptional beam manipulation capabilities, including active beam deflection and point-cloud generation.
Nanophotonic platforms show potential for overcoming the frame rate and resolution limitations of mechanical LiDAR.
Scalable manufacturing methods are being developed for integrating nanophotonic devices.

Conclusions:

Nanophotonic technologies are poised to disrupt modern optical sensing, particularly in LiDAR applications.
Further research in physics and engineering is needed to integrate nanophotonics into commercially viable LiDAR systems.
The goal is to achieve fast, ultrathin, and lightweight LiDAR systems for widespread adoption.