GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
ConcurrentIncrementalFilter should include new isam update params that supports marking affected key for smart factors.
filter.update() should also support ISAM2UpdateParams.h, otherwise it won't work correctly with smart factors.
ConcurrentIncrementalFilter should include new isam update params that supports marking affected key for smart factors. filter.update() should also support ISAM2UpdateParams.h, otherwise it won't work correctly with smart factors.
https://github.com/borglab/gtsam/pull/25/files#diff-6b8ddb8e27ec5dcdd8e1d70a0d9353171d7bc20694da31b130f7a0ae6ffc2089