We are planning to make a sliding-window version of the incremental optimizer.
Basically, adding new measurements, like the incremental optimizer, but also removing measurements from the past.
Before, we look into this further, we have some questions:
1) Is this maybe already supported? (we could not find it in the docs/code.
2) Any tips on how to achieve this? Currently, we run into difficulties when we remove nodes/vertices from the incremental optimizer.
Best regards,
Gijs Dubbelman
Mobile Perception Systems research cluster
www.tue-mps.org
Eindhoven University of Technology
Same question as Dr. Dubbelman; is it possible to hack the current impl. so that incremental deletion is possible (without calling initial func.)? Appreciate any input on this :)
Hi dev team,
We are planning to make a sliding-window version of the incremental optimizer. Basically, adding new measurements, like the incremental optimizer, but also removing measurements from the past. Before, we look into this further, we have some questions: 1) Is this maybe already supported? (we could not find it in the docs/code. 2) Any tips on how to achieve this? Currently, we run into difficulties when we remove nodes/vertices from the incremental optimizer.
Best regards, Gijs Dubbelman Mobile Perception Systems research cluster www.tue-mps.org Eindhoven University of Technology