Abstract
This study presents a novel method for 2D laser scan matching called Genetic Polar Scan Matching (GPSM). The method combined the Genetic algorithm that used to solve automatic Pre-alignment two 2D scan data represented by sets of points with a Polar Scan Matching (PSM). The GPSM not only avoid searching for point associations by simply matching points with the same bearing, but also produce accurate results without limiting a small orientation between a reference scan and current scan. The experiments illustrate how the performances of this method are better than PSM and Iterate Closest Point (ICP) in terms of robustness and accuracy.
| Original language | English |
|---|---|
| Pages (from-to) | 89-95 |
| Number of pages | 7 |
| Journal | Information Technology Journal |
| Volume | 6 |
| Issue number | 1 |
| DOIs | |
| State | Published - 1 Jan 2007 |
Keywords
- Genetic algorithm
- Iterate Closest Point (ICP)
- Polar scan matching
- Pre-alignment
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