Name
Abstract | ||
|---|---|---|
Sound source localization on a mobile robot can be a difficult task due to a variety of problems inherent to a real environment, including robot ego-noise, echoes, and the transient nature of ambient noise. As a result, source localization data are often very noisy and unreliable. In this work, we overcome some of these problems by combining the localization evidence over a variety of robot poses using an evidence grid. The result is a representation that localizes the pertinent objects well over time, can be used to filter poor localization results, and may also be useful for global re-localization from sound localization results. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/IROS.2006.281843 | Beijing |
Keywords | Field | DocType |
acoustic signal detection,mobile robots,path planning,source separation,auditory evidence grids,auditory mapping,mobile robot,sound source localization,Auditory Mapping,Evidence Grid,Mobile Robots,Sound Source Localization | Motion planning,Computer vision,Computer science,Ambient noise level,Sound localization,Artificial intelligence,Robot,Acoustic source localization,Grid,Mobile robot,Source separation | Conference |
ISBN | Citations | PageRank |
1-4244-0259-X | 19 | 1.49 |
References | Authors | |
5 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eric Martinson | 1 | 124 | 12.18 |
| Alan C. Schultz | 2 | 1926 | 278.11 |