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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dias, A. Capitan, J. Merino, L. Almeida, J. Lima, P. Silva, E. |
| Copyright Year | 2015 |
| Description | Author affiliation: Inst. for Syst. & Robot., Univ. de Lisboa, Lisbon, Portugal (Lima, P.) || ISEP-Sch. of Eng., INESC Technol. & Sci., Porto, Portugal (Dias, A.; Almeida, J.; Silva, E.) || Pablo de Olavide Univ., Seville, Spain (Merino, L.) || Univ. of Seville, Seville, Spain (Capitan, J.) |
| Abstract | Target tracking with bearing-only sensors is a challenging problem when the target moves dynamically in complex scenarios. Besides the partial observability of such sensors, they have limited field of views, occlusions can occur, etc. In those cases, cooperative approaches with multiple tracking robots are interesting, but the different sources of uncertain information need to be considered appropriately in order to achieve better estimates. Even though there exist probabilistic filters that can estimate the position of a target dealing with uncertainties, bearing-only measurements bring usually additional problems with initialization and data association. In this paper, we propose a multi-robot triangulation method with a dynamic baseline that can triangulate bearing-only measurements in a probabilistic manner to produce 3D observations. This method is combined with a decentralized stochastic filter and used to tackle those initialization and data association issues. The approach is validated with simulations and field experiments where a team of aerial and ground robots with cameras track a dynamic target. |
| Starting Page | 3449 |
| Ending Page | 3455 |
| File Size | 2928180 |
| Page Count | 7 |
| File Format | |
| e-ISBN | 9781479969234 |
| DOI | 10.1109/ICRA.2015.7139676 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-05-26 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Three-dimensional displays Cameras Target tracking Uncertainty Robot vision systems |
| Content Type | Text |
| Resource Type | Article |
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