Beyond Point Clouds: Fisher Information Field for Active Visual Localization
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 inconstant 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.
2019
7
5986
5992
REVIEWED
Event name | Event place | Event date |
Montreal, Canada | May 20-24, 2019 | |