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| Type | Conference or Workshop Paper |
| Scope | Discipline-based scholarship |
| Published in Proceedings | Yes |
| Title | Beyond Point Clouds: Fisher Information Field for Active Visual Localization |
| Organization Unit | |
| Authors |
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| Presentation Type | paper |
| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| ISBN | 978-1-5386-6027-0 |
| Page Range | 5986 - 5992 |
| Event Title | 2019 International Conference on Robotics and Automation (ICRA) |
| Event Type | conference |
| Event Location | Montreal, QC, Canada |
| Event Start Date | June 20 - 2019 |
| Event End Date | June 24 - 2019 |
| Publisher | IEEE |
| Abstract Text | For mobile robots to localize robustly, actively considering the perception requirement at the planning stage is essential. In this paper, we propose a novel representation for active visual localization. By formulating the Fisher information and sensor visibility carefully, we are able to summarize the localization information into a discrete grid, namely the Fisher information field. The information for arbitrary poses can then be computed from the field in constant time, without the need of costly iterating all the 3D landmarks. Experimental results on simulated and real-world data show the great potential of our method in efficient active localization and perception-aware planning. To benefit related research, we release our implementation of the information field to the public. |
| Digital Object Identifier | 10.1109/icra.2019.8793680 |
| Other Identification Number | merlin-id:20286 |
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