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Rapid Acquisition of 3D Images Using High-resolution Episcopic Microscopy

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Scale-adaptive three-dimensional imaging using Risley-prism-based coherent lidar.

Xingsheng Liu, Anhu Li, Hao Chen

|May 15, 2023

Summary

This summary is machine-generated.

We developed a new 3D imaging system using light detection and ranging (lidar) with adaptive scanning. This lidar technology offers configurable resolution for both wide-area mapping and detailed long-range object identification.

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Area of Science:

Optics and Photonics
Robotics and Automation
Computer Vision

Background:

Traditional lidar systems often lack flexibility in resolution and scale adaptation.
Achieving both wide-field situational awareness and high-resolution distant object identification in a single lidar system is challenging.

Purpose of the Study:

To introduce a novel scale-adaptive 3D imaging architecture for coherent lidar.
To enable flexible beam scanning for configurable resolution and adaptive scale imaging.
To achieve simultaneous large-scale scene reconstruction and small-scale distant object identification.

Main Methods:

Development of a 3D imaging architecture incorporating Risley-prism-based beam scanning.
Application of an inverse design paradigm for beam steering and prism rotation control.
Integration of simultaneous distance and velocity measurement capabilities.

Main Results:

Demonstrated 3D scene recovery within a ±30° field of view.
Successfully focused on distant objects over 500 m with a spatial resolution of 1.1 cm.
Validated adaptive scale imaging and configurable resolution capabilities.

Conclusions:

The proposed lidar architecture provides unprecedented flexibility in scale and resolution for 3D imaging.
This technology enables versatile applications ranging from situational awareness to precise long-range object identification.
The system offers a significant advancement in lidar performance for complex environmental sensing.