selective incremental linearization works; bug fix in landmark initialization (frank01 again much faster)
parent
a2bce15c4b
commit
a45893a434
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@ -124,6 +124,8 @@ namespace gtsam {
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FactorGraph<GaussianFactor> affectedFactors;
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list<Symbol> newFactorsKeys = newFactors.keys();
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#if 1
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// relinearize all keys that are in newFactors, and already exist (not new variables!)
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list<Symbol> keysToRelinearize;
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list<Symbol> oldKeys = nonlinearFactors_.keys();
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@ -132,7 +134,6 @@ namespace gtsam {
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keysToRelinearize.push_back(key);
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}
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#if 1
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// basically calculate all the keys contained in the factors that contain any of the keys...
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// the goal is to relinearize all variables directly affected by new factors
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FactorGraph<NonlinearFactor<Config> > allAffected;
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@ -147,10 +148,14 @@ namespace gtsam {
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allAffected.push_back(*it);
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}
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list<Symbol> keysToBeRemoved = allAffected.keys();
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#else
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list<Symbol> keysToBeRemoved = nonlinearFactors_.keys(); // todo/debug - relinearize all (a cumbersome way to do batch)
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// debug only: full relinearization in each step
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list<Symbol> keysToRelinearize = nonlinearFactors_.keys();
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list<Symbol> keysToBeRemoved = nonlinearFactors_.keys();
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#endif
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// remove affected factors
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this->removeTop(keysToBeRemoved, affectedFactors, orphans);
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// selectively update the linearization point
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