Design and Realization of Wide Field-of-View 3D MEMS LiDAR Article Swipe
YOU?
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· 2021
· Open Access
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· DOI: https://doi.org/10.1109/jsen.2021.3127045
Light detection and ranging (LiDAR) sensors are promising for automated transportation to detect the surrounding environment. However, most LiDAR solutions are complex and bulky. By designing a MEMS-mirror-based LiDAR, we can improve the volume constraints, but MEMS mirrors could limit scanning angles. In this work, we simulated and demonstrated a MEMS LiDAR system to solve the current obstacles. Combining a MEMS mirror and a wide-angle lens into the system, small-volume and large field-of-view (FOV) LiDAR systems can be realized. We use ray tracing optical simulation software to design a pair of aspherical lenses to expand the scanning angle. After the laser beam passes through the wide-angle lens, the FOV can be increased to 104 degrees. The distortion of the wide-angle lens is controlled below 3%, making the scanned image precise to the actual situation. In order to experimentally demonstrate the small-volume MEMS scanning LiDAR, a modular laser rangefinder is used with a MEMS mirror. The entire system of the LiDAR scanner is around 15 cm cm cm. In the natural light environment for wide-angle LiDAR measurement, the maximum error is less than 2%. Finally, an image processing program is written to convert the scanned data into a 3D point cloud image, and the generated image proves the complete function of the proposed LiDAR.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/jsen.2021.3127045
- https://ieeexplore.ieee.org/ielx7/7361/9664886/09610002.pdf
- OA Status
- hybrid
- Cited By
- 20
- References
- 13
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3214133743
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3214133743Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/jsen.2021.3127045Digital Object Identifier
- Title
-
Design and Realization of Wide Field-of-View 3D MEMS LiDARWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-11-09Full publication date if available
- Authors
-
Chia-Hsing Lin, Hao-Sheng Zhang, Chia‐Ping Lin, Guo-Dung J. SuList of authors in order
- Landing page
-
https://doi.org/10.1109/jsen.2021.3127045Publisher landing page
- PDF URL
-
https://ieeexplore.ieee.org/ielx7/7361/9664886/09610002.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
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https://ieeexplore.ieee.org/ielx7/7361/9664886/09610002.pdfDirect OA link when available
- Concepts
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Realization (probability), Lidar, Microelectromechanical systems, Computer science, Field (mathematics), Solid modeling, Remote sensing, Artificial intelligence, Geology, Physics, Optoelectronics, Statistics, Pure mathematics, MathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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20Total citation count in OpenAlex
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2025: 6, 2024: 7, 2023: 3, 2022: 4Per-year citation counts (last 5 years)
- References (count)
-
13Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.xmlns:mml="http://www.w3.org/1998/Math/MathML" | 166, 173 |
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