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Detection and mapping of specular surfaces using multibounce LiDAR returns.
Optics Express
|February 24, 2023
Summary
This study introduces novel methods using multi-bounce LiDAR returns to detect and map previously invisible specular surfaces. These techniques enhance surface geometry retrieval, even for transparent materials.
Area of Science:
- Geospatial technology
- Optical sensing
Background:
- Conventional LiDAR systems primarily detect single-scatter returns, limiting their ability to identify specular surfaces.
- Specular surfaces, such as mirrors or calm water, pose challenges for standard remote sensing techniques.
Purpose of the Study:
- To develop and present methods for detecting and mapping specular surfaces using multibounce LiDAR returns.
- To address the limitations of conventional LiDAR in identifying surfaces with high reflectivity.
Main Methods:
- Deriving mathematical expressions linking time- and angle-of-arrival of multibounce returns to specular surface scattering points.
- Formulating techniques for specular surface geometry retrieval using single-beam scanning or multi-beam flash illumination.
- Analyzing the specific case of transparent specular surfaces where reflections mix with subsurface scattering.
Main Results:
- Demonstrated methods for detecting and mapping specular surfaces.
- Established relationships between LiDAR return characteristics and surface geometry.
- Addressed the complexities introduced by transparent specular surfaces.
Conclusions:
- The proposed methods effectively utilize multibounce LiDAR returns for enhanced specular surface detection and mapping.
- These techniques offer a significant advancement in characterizing challenging surfaces for LiDAR applications.
- The study provides a framework for improving 3D scene reconstruction in environments with specular elements.
