Bugfixes for ISAM2
parent
9e1046f40e
commit
66720e0b02
|
@ -552,9 +552,12 @@ void ISAM2::marginalizeLeaves(
|
||||||
// We do not need the marginal factors associated with this clique
|
// We do not need the marginal factors associated with this clique
|
||||||
// because their information is already incorporated in the new
|
// because their information is already incorporated in the new
|
||||||
// marginal factor. So, now associate this marginal factor with the
|
// marginal factor. So, now associate this marginal factor with the
|
||||||
// parent of this clique.
|
// parent of this clique. If the clique is a root and has no parent, then
|
||||||
marginalFactors[clique->parent()->conditional()->front()].push_back(
|
// we can discard it without keeping track of the marginal factor.
|
||||||
marginalFactor);
|
if (clique->parent()) {
|
||||||
|
marginalFactors[clique->parent()->conditional()->front()].push_back(
|
||||||
|
marginalFactor);
|
||||||
|
}
|
||||||
// Now remove this clique and its subtree - all of its marginal
|
// Now remove this clique and its subtree - all of its marginal
|
||||||
// information has been stored in marginalFactors.
|
// information has been stored in marginalFactors.
|
||||||
trackingRemoveSubtree(clique);
|
trackingRemoveSubtree(clique);
|
||||||
|
@ -632,7 +635,7 @@ void ISAM2::marginalizeLeaves(
|
||||||
|
|
||||||
// Make the clique's matrix appear as a subset
|
// Make the clique's matrix appear as a subset
|
||||||
const DenseIndex dimToRemove = cg->matrixObject().offset(nToRemove);
|
const DenseIndex dimToRemove = cg->matrixObject().offset(nToRemove);
|
||||||
cg->matrixObject().firstBlock() = nToRemove;
|
cg->matrixObject().firstBlock() += nToRemove;
|
||||||
cg->matrixObject().rowStart() = dimToRemove;
|
cg->matrixObject().rowStart() = dimToRemove;
|
||||||
|
|
||||||
// Change the keys in the clique
|
// Change the keys in the clique
|
||||||
|
@ -658,42 +661,55 @@ void ISAM2::marginalizeLeaves(
|
||||||
// At this point we have updated the BayesTree, now update the remaining iSAM2
|
// At this point we have updated the BayesTree, now update the remaining iSAM2
|
||||||
// data structures
|
// data structures
|
||||||
|
|
||||||
|
// Remove the factors to remove that will be summarized in marginal factors
|
||||||
|
NonlinearFactorGraph removedFactors;
|
||||||
|
for (const auto index : factorIndicesToRemove) {
|
||||||
|
removedFactors.push_back(nonlinearFactors_[index]);
|
||||||
|
nonlinearFactors_.remove(index);
|
||||||
|
if (params_.cacheLinearizedFactors) {
|
||||||
|
linearFactors_.remove(index);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
variableIndex_.remove(factorIndicesToRemove.begin(),
|
||||||
|
factorIndicesToRemove.end(), removedFactors);
|
||||||
|
|
||||||
// Gather factors to add - the new marginal factors
|
// Gather factors to add - the new marginal factors
|
||||||
GaussianFactorGraph factorsToAdd;
|
GaussianFactorGraph factorsToAdd{};
|
||||||
|
NonlinearFactorGraph nonlinearFactorsToAdd{};
|
||||||
for (const auto& key_factors : marginalFactors) {
|
for (const auto& key_factors : marginalFactors) {
|
||||||
for (const auto& factor : key_factors.second) {
|
for (const auto& factor : key_factors.second) {
|
||||||
if (factor) {
|
if (factor) {
|
||||||
factorsToAdd.push_back(factor);
|
factorsToAdd.push_back(factor);
|
||||||
if (marginalFactorsIndices)
|
nonlinearFactorsToAdd.emplace_shared<LinearContainerFactor>(factor);
|
||||||
marginalFactorsIndices->push_back(nonlinearFactors_.size());
|
|
||||||
nonlinearFactors_.push_back(
|
|
||||||
boost::make_shared<LinearContainerFactor>(factor));
|
|
||||||
if (params_.cacheLinearizedFactors) linearFactors_.push_back(factor);
|
|
||||||
for (Key factorKey : *factor) {
|
for (Key factorKey : *factor) {
|
||||||
fixedVariables_.insert(factorKey);
|
fixedVariables_.insert(factorKey);
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
variableIndex_.augment(factorsToAdd); // Augment the variable index
|
// Add the nonlinear factors and keep track of the new factor indices
|
||||||
|
auto newFactorIndices = nonlinearFactors_.add_factors(nonlinearFactorsToAdd,
|
||||||
// Remove the factors to remove that have been summarized in the newly-added
|
params_.findUnusedFactorSlots);
|
||||||
// marginal factors
|
// Add cached linear factors.
|
||||||
NonlinearFactorGraph removedFactors;
|
if (params_.cacheLinearizedFactors){
|
||||||
for (const auto index : factorIndicesToRemove) {
|
linearFactors_.resize(nonlinearFactors_.size());
|
||||||
removedFactors.push_back(nonlinearFactors_[index]);
|
for (std::size_t i = 0; i < nonlinearFactorsToAdd.size(); ++i){
|
||||||
nonlinearFactors_.remove(index);
|
linearFactors_[newFactorIndices[i]] = factorsToAdd[i];
|
||||||
if (params_.cacheLinearizedFactors) linearFactors_.remove(index);
|
}
|
||||||
}
|
}
|
||||||
variableIndex_.remove(factorIndicesToRemove.begin(),
|
// Augment the variable index
|
||||||
factorIndicesToRemove.end(), removedFactors);
|
variableIndex_.augment(factorsToAdd, newFactorIndices);
|
||||||
|
|
||||||
if (deletedFactorsIndices)
|
|
||||||
deletedFactorsIndices->assign(factorIndicesToRemove.begin(),
|
|
||||||
factorIndicesToRemove.end());
|
|
||||||
|
|
||||||
// Remove the marginalized variables
|
// Remove the marginalized variables
|
||||||
removeVariables(KeySet(leafKeys.begin(), leafKeys.end()));
|
removeVariables(KeySet(leafKeys.begin(), leafKeys.end()));
|
||||||
|
|
||||||
|
if (deletedFactorsIndices) {
|
||||||
|
deletedFactorsIndices->assign(factorIndicesToRemove.begin(),
|
||||||
|
factorIndicesToRemove.end());
|
||||||
|
}
|
||||||
|
if (marginalFactorsIndices){
|
||||||
|
*marginalFactorsIndices = std::move(newFactorIndices);
|
||||||
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
/* ************************************************************************* */
|
/* ************************************************************************* */
|
||||||
|
|
|
@ -714,16 +714,17 @@ namespace {
|
||||||
const boost::optional<FastMap<Key, int>> orderingConstraints = createOrderingConstraints(isam, newValues.keys(), marginalizableKeys);
|
const boost::optional<FastMap<Key, int>> orderingConstraints = createOrderingConstraints(isam, newValues.keys(), marginalizableKeys);
|
||||||
|
|
||||||
// Mark additional keys between the marginalized keys and the leaves
|
// Mark additional keys between the marginalized keys and the leaves
|
||||||
KeyList additionalMarkedKeys;
|
KeyList markedKeys;
|
||||||
for (Key key : marginalizableKeys) {
|
for (Key key : marginalizableKeys) {
|
||||||
|
markedKeys.push_back(key);
|
||||||
ISAM2Clique::shared_ptr clique = isam[key];
|
ISAM2Clique::shared_ptr clique = isam[key];
|
||||||
for (const ISAM2Clique::shared_ptr& child : clique->children) {
|
for (const ISAM2Clique::shared_ptr& child : clique->children) {
|
||||||
markAffectedKeys(key, child, additionalMarkedKeys);
|
markAffectedKeys(key, child, markedKeys);
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
// Update
|
// Update
|
||||||
isam.update(newFactors, newValues, FactorIndices{}, orderingConstraints, boost::none, additionalMarkedKeys);
|
isam.update(newFactors, newValues, FactorIndices{}, orderingConstraints, boost::none, markedKeys);
|
||||||
|
|
||||||
if (!marginalizableKeys.empty()) {
|
if (!marginalizableKeys.empty()) {
|
||||||
FastList<Key> leafKeys(marginalizableKeys.begin(), marginalizableKeys.end());
|
FastList<Key> leafKeys(marginalizableKeys.begin(), marginalizableKeys.end());
|
||||||
|
|
Loading…
Reference in New Issue