For LiDAR scanning solution Polygon Mirrors and Scanner Motors Vol.2
For LiDAR scanning solution Polygon Mirrors and Motors Vol.2
Chapter 6
Why do we recommend POLYGON for LiDAR?
Advantages of using “Polygon LiDAR”
Next, let's look at the optimal method of LiDAR. The LiDAR has several methods, and we compared the performance of the solid-state MEMS system with the polygon system using the polygon laser scanner we are involved in, and the millimeter-wave radar. Refer to the following summary table.
| Sensing distance | Beam line | Resolution | Repeat- ability | Scan angle | Size | Main uses | |
|---|---|---|---|---|---|---|---|
| Millimeter- wave rader |
~ 200 m | 1 ~ few | ~ 1 m | 〇 | ~ 20° | 〇 | ACC, LKAS |
| Polygon LiDAR |
~ 250 m | Thousands to tens of thousands |
few cm | 〇 | 120° | △ | Distance / Position detection |
| MEMS LiDAR |
~ 180 m | Thousands to tens of thousands |
few cm | ✖ | 90° | 〇 | Distance / Position detection |
As shown in the table above, the millimeter-wave radar has a scanning angle of only 20 degrees ... (in comparison, Polygon LiDAR is 120 degrees!) Also, the millimeter-wave radar has only one to several lines of beams, which is significantly inferior to the thousands to tens of thousands of Polygon LiDAR lines. Next, it is the MEMS LiDAR that is compared well with the Polygon LiDAR. MEMS LiDAR has a major disadvantage in that it is not repeatable at all. A Study on the MEMS LiDAR is written in the previous article Chapter 2.
POLYGON is an ideal solution for LiDAR long-distance detection
From the charts above, Polygon LiDAR can be said to be a superior method to other methods in terms of sensing range, number of beam lines, resolution, repeatability and scan angle. Therefore, it sure be concluded that POLYGON is the best, particularly in LiDAR for long-distance detection.
since we have been actively developing also downsizing while maintaining high specifications, our polygon mirrors and polygon laser scanners are widely considered from commercial vehicles (taxis, trucks, self-driving robots, etc.) to passenger cars.
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