Name
Abstract | ||
|---|---|---|
A novel method is described for surface profile extraction based on morphological processing of multiple range sensor data. The approach taken is extremely flexible and robust, in addition to being simple and straightforward. It can deal with arbitrary numbers and configurations of sensors as well as synthetic arrays. The method has the intrinsic ability to suppress spurious readings, crosstalk, and higher-order reflections, and process multiple reflections informatively. The performance of the method is investigated by analyzing its dependence on surface structure and distance, sensor beamwidth, and noise on the time-of-flight measurements. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1016/S0031-3203(00)00083-2 | Pattern Recognition |
Keywords | Field | DocType |
Morphological processing,Range sensing,Feature extraction,Surface profile extraction,Map building,Pattern analysis | Pattern recognition,Crosstalk,Mathematical morphology,Segmentation,Surface structure,Morphological processing,Feature extraction,Artificial intelligence,Beamwidth,Spurious relationship,Mathematics | Journal |
Volume | Issue | ISSN |
34 | 7 | 0031-3203 |
Citations | PageRank | References |
4 | 0.41 | 6 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Billur Barshan | 1 | 313 | 27.83 |
| Deniz Baskent | 2 | 18 | 1.54 |