ReviewMicrosystems & nanoengineering2022
Improved sampling scheme for LiDAR in Lissajous scanning mode.
Review in Microsystems & nanoengineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- High speed biaxial piezoelectric MEMS micromirror with varifocal tunability.Microsystems & nanoengineering · 2026Article
- Optimizing fatigue resistance and lifetime of MEMS scanning mirrors with a novel coupled parameter distribution structural framework.Microsystems & nanoengineering · 2026Article
- Magnetic Heterodyne Target Proximal Distance Estimate Using Extended N-th-Pole Magnetic Dipole Model via Iterative Extended Kalman Filter.Sensors (Basel, Switzerland) · 2026Article
- Nanophotonic waveguide chip-to-world beam scanning.Nature · 2026Article
- Scanning Mirror Benchmarking Platform Based on Two-Dimensional Position Sensitive Detector and Its Accuracy Analysis.Micromachines · 2025Article
- Vision Gaze-Driven Micro-Electro-Mechanical Systems Light Detection and Ranging Optimization.Research (Washington, D.C.) · 2025Article
- Experimental Investigation of Vibration Isolator for Large Aperture Electromagnetic MEMS Micromirror.Micromachines · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MEMS light detection and ranging (LiDAR) is becoming an indispensable sensor in vehicle environment sensing systems due to its low cost and high performance. The beam scanning trajectory, sampling scheme and gridding are the key technologies of MEMS LiDAR imaging. In Lissajous scanning mode, this paper improves the sampling scheme, through which a denser Cartesian grid of point cloud data at the same scanning frequency can be obtained. By summarizing the rules of the Cartesian grid, a general sampling scheme independent of the beam scanning trajectory patterns is proposed. Simulation and experiment results show that compared with the existing sampling scheme, the resolution and the number of points per frame are both increased by 2 times with the same hardware configuration and scanning frequencies for a MEMS scanning mirror (MEMS-SM). This is beneficial for improving the point cloud imaging performance of MEMS LiDAR.
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Registered trials
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