parent
2cca91d783
commit
464d770d48
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@ -102,7 +102,7 @@ void SparsePoseGraph::AddScan(
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common::MutexLocker locker(&mutex_);
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common::MutexLocker locker(&mutex_);
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AddTrajectoryIfNeeded(trajectory_id);
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AddTrajectoryIfNeeded(trajectory_id);
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trajectory_nodes_.Append(
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const mapping::NodeId node_id = trajectory_nodes_.Append(
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trajectory_id, mapping::TrajectoryNode{constant_data, optimized_pose});
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trajectory_id, mapping::TrajectoryNode{constant_data, optimized_pose});
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++num_trajectory_nodes_;
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++num_trajectory_nodes_;
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@ -124,7 +124,7 @@ void SparsePoseGraph::AddScan(
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// execute the lambda.
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// execute the lambda.
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const bool newly_finished_submap = insertion_submaps.front()->finished();
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const bool newly_finished_submap = insertion_submaps.front()->finished();
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AddWorkItem([=]() REQUIRES(mutex_) {
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AddWorkItem([=]() REQUIRES(mutex_) {
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ComputeConstraintsForScan(trajectory_id, insertion_submaps,
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ComputeConstraintsForScan(node_id, insertion_submaps,
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newly_finished_submap);
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newly_finished_submap);
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});
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});
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}
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}
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@ -188,10 +188,7 @@ void SparsePoseGraph::ComputeConstraint(const mapping::NodeId& node_id,
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// search window.
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// search window.
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const transform::Rigid2d initial_relative_pose =
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const transform::Rigid2d initial_relative_pose =
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optimization_problem_.submap_data().at(submap_id).pose.inverse() *
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optimization_problem_.submap_data().at(submap_id).pose.inverse() *
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optimization_problem_.node_data()
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optimization_problem_.node_data().at(node_id).pose;
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.at(node_id.trajectory_id)
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.at(node_id.node_index)
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.pose;
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constraint_builder_.MaybeAddConstraint(
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constraint_builder_.MaybeAddConstraint(
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submap_id, submap_data_.at(submap_id).submap.get(), node_id,
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submap_id, submap_data_.at(submap_id).submap.get(), node_id,
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trajectory_nodes_.at(node_id).constant_data.get(),
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trajectory_nodes_.at(node_id).constant_data.get(),
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@ -206,40 +203,23 @@ void SparsePoseGraph::ComputeConstraint(const mapping::NodeId& node_id,
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void SparsePoseGraph::ComputeConstraintsForOldScans(
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void SparsePoseGraph::ComputeConstraintsForOldScans(
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const mapping::SubmapId& submap_id) {
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const mapping::SubmapId& submap_id) {
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const auto& submap_data = submap_data_.at(submap_id);
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const auto& submap_data = submap_data_.at(submap_id);
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const auto& node_data = optimization_problem_.node_data();
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for (const auto& node_id_data : optimization_problem_.node_data()) {
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for (size_t trajectory_id = 0; trajectory_id != node_data.size();
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const mapping::NodeId& node_id = node_id_data.id;
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++trajectory_id) {
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for (const auto& index_node_data : node_data[trajectory_id]) {
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const mapping::NodeId node_id{static_cast<int>(trajectory_id),
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index_node_data.first};
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CHECK(!trajectory_nodes_.at(node_id).trimmed());
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CHECK(!trajectory_nodes_.at(node_id).trimmed());
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if (submap_data.node_ids.count(node_id) == 0) {
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if (submap_data.node_ids.count(node_id) == 0) {
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ComputeConstraint(node_id, submap_id);
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ComputeConstraint(node_id, submap_id);
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}
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}
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}
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}
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}
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}
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}
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void SparsePoseGraph::ComputeConstraintsForScan(
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void SparsePoseGraph::ComputeConstraintsForScan(
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const int trajectory_id,
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const mapping::NodeId& node_id,
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std::vector<std::shared_ptr<const Submap>> insertion_submaps,
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std::vector<std::shared_ptr<const Submap>> insertion_submaps,
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const bool newly_finished_submap) {
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const bool newly_finished_submap) {
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const std::vector<mapping::SubmapId> submap_ids =
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const std::vector<mapping::SubmapId> submap_ids =
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GrowSubmapTransformsAsNeeded(trajectory_id, insertion_submaps);
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GrowSubmapTransformsAsNeeded(node_id.trajectory_id, insertion_submaps);
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CHECK_EQ(submap_ids.size(), insertion_submaps.size());
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CHECK_EQ(submap_ids.size(), insertion_submaps.size());
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const mapping::SubmapId matching_id = submap_ids.front();
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const mapping::SubmapId matching_id = submap_ids.front();
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const mapping::NodeId node_id{
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matching_id.trajectory_id,
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static_cast<size_t>(matching_id.trajectory_id) <
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optimization_problem_.node_data().size() &&
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!optimization_problem_.node_data()[matching_id.trajectory_id]
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.empty()
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? static_cast<int>(optimization_problem_.node_data()
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.at(matching_id.trajectory_id)
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.rbegin()
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->first +
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1)
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: 0};
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const auto& constant_data = trajectory_nodes_.at(node_id).constant_data;
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const auto& constant_data = trajectory_nodes_.at(node_id).constant_data;
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const transform::Rigid2d pose = transform::Project2D(
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const transform::Rigid2d pose = transform::Project2D(
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constant_data->initial_pose *
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constant_data->initial_pose *
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@ -489,14 +469,15 @@ void SparsePoseGraph::RunOptimization() {
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const auto& submap_data = optimization_problem_.submap_data();
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const auto& submap_data = optimization_problem_.submap_data();
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const auto& node_data = optimization_problem_.node_data();
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const auto& node_data = optimization_problem_.node_data();
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for (int trajectory_id = 0;
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for (auto node_it = node_data.begin(); node_it != node_data.end();) {
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trajectory_id != static_cast<int>(node_data.size()); ++trajectory_id) {
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const int trajectory_id = node_it->id.trajectory_id;
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const auto trajectory_end = node_data.EndOfTrajectory(trajectory_id);
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const int num_nodes = trajectory_nodes_.num_indices(trajectory_id);
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const int num_nodes = trajectory_nodes_.num_indices(trajectory_id);
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for (const auto& node_data_index : node_data.at(trajectory_id)) {
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for (; node_it != trajectory_end; ++node_it) {
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const mapping::NodeId node_id{trajectory_id, node_data_index.first};
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const mapping::NodeId node_id = node_it->id;
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auto& node = trajectory_nodes_.at(node_id);
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auto& node = trajectory_nodes_.at(node_id);
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node.pose =
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node.pose =
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transform::Embed3D(node_data_index.second.pose) *
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transform::Embed3D(node_it->data.pose) *
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transform::Rigid3d::Rotation(node.constant_data->gravity_alignment);
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transform::Rigid3d::Rotation(node.constant_data->gravity_alignment);
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}
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}
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// Extrapolate all point cloud poses that were added later.
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// Extrapolate all point cloud poses that were added later.
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@ -506,10 +487,7 @@ void SparsePoseGraph::RunOptimization() {
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optimized_submap_transforms_, trajectory_id);
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optimized_submap_transforms_, trajectory_id);
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const transform::Rigid3d old_global_to_new_global =
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const transform::Rigid3d old_global_to_new_global =
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local_to_new_global * local_to_old_global.inverse();
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local_to_new_global * local_to_old_global.inverse();
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int last_optimized_node_index =
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const int last_optimized_node_index = std::prev(node_it)->id.node_index;
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node_data.at(trajectory_id).empty()
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? 0
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: node_data.at(trajectory_id).rbegin()->first;
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for (int node_index = last_optimized_node_index + 1; node_index < num_nodes;
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for (int node_index = last_optimized_node_index + 1; node_index < num_nodes;
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++node_index) {
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++node_index) {
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const mapping::NodeId node_id{trajectory_id, node_index};
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const mapping::NodeId node_id{trajectory_id, node_index};
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@ -134,7 +134,7 @@ class SparsePoseGraph : public mapping::SparsePoseGraph {
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// Adds constraints for a scan, and starts scan matching in the background.
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// Adds constraints for a scan, and starts scan matching in the background.
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void ComputeConstraintsForScan(
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void ComputeConstraintsForScan(
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int trajectory_id,
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const mapping::NodeId& node_id,
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std::vector<std::shared_ptr<const Submap>> insertion_submaps,
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std::vector<std::shared_ptr<const Submap>> insertion_submaps,
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bool newly_finished_submap) REQUIRES(mutex_);
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bool newly_finished_submap) REQUIRES(mutex_);
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@ -82,25 +82,19 @@ void OptimizationProblem::AddTrajectoryNode(
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const int trajectory_id, const common::Time time,
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const int trajectory_id, const common::Time time,
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const transform::Rigid2d& initial_pose, const transform::Rigid2d& pose,
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const transform::Rigid2d& initial_pose, const transform::Rigid2d& pose,
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const Eigen::Quaterniond& gravity_alignment) {
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const Eigen::Quaterniond& gravity_alignment) {
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CHECK_GE(trajectory_id, 0);
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node_data_.Append(trajectory_id,
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node_data_.resize(
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std::max(node_data_.size(), static_cast<size_t>(trajectory_id) + 1));
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trajectory_data_.resize(std::max(trajectory_data_.size(), node_data_.size()));
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auto& trajectory_data = trajectory_data_[trajectory_id];
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node_data_[trajectory_id].emplace(
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trajectory_data.next_node_index,
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NodeData{time, initial_pose, pose, gravity_alignment});
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NodeData{time, initial_pose, pose, gravity_alignment});
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++trajectory_data.next_node_index;
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}
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}
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void OptimizationProblem::TrimTrajectoryNode(const mapping::NodeId& node_id) {
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void OptimizationProblem::TrimTrajectoryNode(const mapping::NodeId& node_id) {
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auto& node_data = node_data_.at(node_id.trajectory_id);
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node_data_.Trim(node_id);
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CHECK(node_data.erase(node_id.node_index));
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if (!node_data.empty() &&
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const int trajectory_id = node_id.trajectory_id;
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node_id.trajectory_id < static_cast<int>(imu_data_.size())) {
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if (node_data_.SizeOfTrajectoryOrZero(trajectory_id) == 0 &&
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const common::Time node_time = node_data.begin()->second.time;
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trajectory_id < static_cast<int>(imu_data_.size())) {
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auto& imu_data = imu_data_.at(node_id.trajectory_id);
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const common::Time node_time =
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node_data_.BeginOfTrajectory(trajectory_id)->data.time;
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auto& imu_data = imu_data_.at(trajectory_id);
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while (imu_data.size() > 1 && imu_data[1].time <= node_time) {
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while (imu_data.size() > 1 && imu_data[1].time <= node_time) {
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imu_data.pop_front();
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imu_data.pop_front();
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}
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}
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// Set the starting point.
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// Set the starting point.
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// TODO(hrapp): Move ceres data into SubmapData.
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// TODO(hrapp): Move ceres data into SubmapData.
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mapping::MapById<mapping::SubmapId, std::array<double, 3>> C_submaps;
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mapping::MapById<mapping::SubmapId, std::array<double, 3>> C_submaps;
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std::vector<std::map<int, std::array<double, 3>>> C_nodes(node_data_.size());
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mapping::MapById<mapping::NodeId, std::array<double, 3>> C_nodes;
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bool first_submap = true;
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bool first_submap = true;
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for (const auto& submap_id_data : submap_data_) {
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for (const auto& submap_id_data : submap_data_) {
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const bool frozen =
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const bool frozen =
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@ -148,19 +142,13 @@ void OptimizationProblem::Solve(const std::vector<Constraint>& constraints,
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problem.SetParameterBlockConstant(C_submaps.at(submap_id_data.id).data());
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problem.SetParameterBlockConstant(C_submaps.at(submap_id_data.id).data());
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}
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}
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}
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}
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for (size_t trajectory_id = 0; trajectory_id != node_data_.size();
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for (const auto& node_id_data : node_data_) {
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++trajectory_id) {
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const bool frozen =
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const bool frozen = frozen_trajectories.count(trajectory_id) != 0;
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frozen_trajectories.count(node_id_data.id.trajectory_id) != 0;
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for (const auto& index_node_data : node_data_[trajectory_id]) {
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C_nodes.Insert(node_id_data.id, FromPose(node_id_data.data.pose));
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const int node_index = index_node_data.first;
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problem.AddParameterBlock(C_nodes.at(node_id_data.id).data(), 3);
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const NodeData& node_data = index_node_data.second;
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C_nodes[trajectory_id].emplace(node_index, FromPose(node_data.pose));
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problem.AddParameterBlock(C_nodes[trajectory_id].at(node_index).data(),
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3);
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if (frozen) {
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if (frozen) {
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problem.SetParameterBlockConstant(
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problem.SetParameterBlockConstant(C_nodes.at(node_id_data.id).data());
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C_nodes[trajectory_id].at(node_index).data());
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}
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}
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}
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}
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}
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// Add cost functions for intra- and inter-submap constraints.
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// Add cost functions for intra- and inter-submap constraints.
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@ -173,58 +161,52 @@ void OptimizationProblem::Solve(const std::vector<Constraint>& constraints,
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? new ceres::HuberLoss(options_.huber_scale())
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? new ceres::HuberLoss(options_.huber_scale())
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: nullptr,
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: nullptr,
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C_submaps.at(constraint.submap_id).data(),
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C_submaps.at(constraint.submap_id).data(),
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C_nodes.at(constraint.node_id.trajectory_id)
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C_nodes.at(constraint.node_id).data());
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.at(constraint.node_id.node_index)
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.data());
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}
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}
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// Add penalties for violating odometry or changes between consecutive scans
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// Add penalties for violating odometry or changes between consecutive scans
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// if odometry is not available.
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// if odometry is not available.
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for (size_t trajectory_id = 0; trajectory_id != node_data_.size();
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for (auto node_it = node_data_.begin(); node_it != node_data_.end();) {
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++trajectory_id) {
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const int trajectory_id = node_it->id.trajectory_id;
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if (node_data_[trajectory_id].empty()) {
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const auto trajectory_end = node_data_.EndOfTrajectory(trajectory_id);
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continue;
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}
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for (auto node_it = node_data_[trajectory_id].begin();;) {
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auto prev_node_it = node_it;
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const int node_index = node_it->first;
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for (++node_it; node_it != trajectory_end; ++node_it) {
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const NodeData& node_data = node_it->second;
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const mapping::NodeId first_node_id = prev_node_it->id;
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++node_it;
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const NodeData& first_node_data = prev_node_it->data;
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if (node_it == node_data_[trajectory_id].end()) {
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prev_node_it = node_it;
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break;
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const mapping::NodeId second_node_id = node_it->id;
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}
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const NodeData& second_node_data = node_it->data;
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const int next_node_index = node_it->first;
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if (second_node_id.node_index != first_node_id.node_index + 1) {
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const NodeData& next_node_data = node_it->second;
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if (next_node_index != node_index + 1) {
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continue;
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continue;
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}
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}
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const bool odometry_available =
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const bool odometry_available =
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trajectory_id < odometry_data_.size() &&
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trajectory_id < static_cast<int>(odometry_data_.size()) &&
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odometry_data_[trajectory_id].Has(next_node_data.time) &&
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odometry_data_[trajectory_id].Has(second_node_data.time) &&
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odometry_data_[trajectory_id].Has(node_data.time);
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odometry_data_[trajectory_id].Has(first_node_data.time);
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const transform::Rigid3d relative_pose =
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const transform::Rigid3d relative_pose =
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odometry_available
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odometry_available
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? transform::Rigid3d::Rotation(node_data.gravity_alignment) *
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? transform::Rigid3d::Rotation(
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first_node_data.gravity_alignment) *
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odometry_data_[trajectory_id]
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odometry_data_[trajectory_id]
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.Lookup(node_data.time)
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.Lookup(first_node_data.time)
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.inverse() *
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.inverse() *
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odometry_data_[trajectory_id].Lookup(next_node_data.time) *
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odometry_data_[trajectory_id].Lookup(
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second_node_data.time) *
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transform::Rigid3d::Rotation(
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transform::Rigid3d::Rotation(
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next_node_data.gravity_alignment.inverse())
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second_node_data.gravity_alignment.inverse())
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: transform::Embed3D(node_data.initial_pose.inverse() *
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: transform::Embed3D(first_node_data.initial_pose.inverse() *
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next_node_data.initial_pose);
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second_node_data.initial_pose);
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problem.AddResidualBlock(
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problem.AddResidualBlock(
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new ceres::AutoDiffCostFunction<SpaCostFunction, 3, 3, 3>(
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new ceres::AutoDiffCostFunction<SpaCostFunction, 3, 3, 3>(
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new SpaCostFunction(Constraint::Pose{
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new SpaCostFunction(Constraint::Pose{
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relative_pose,
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relative_pose,
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options_.consecutive_scan_translation_penalty_factor(),
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options_.consecutive_scan_translation_penalty_factor(),
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options_.consecutive_scan_rotation_penalty_factor()})),
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options_.consecutive_scan_rotation_penalty_factor()})),
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nullptr /* loss function */,
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nullptr /* loss function */, C_nodes.at(first_node_id).data(),
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C_nodes[trajectory_id].at(node_index).data(),
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C_nodes.at(second_node_id).data());
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C_nodes[trajectory_id].at(next_node_index).data());
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}
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}
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}
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}
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@ -241,17 +223,13 @@ void OptimizationProblem::Solve(const std::vector<Constraint>& constraints,
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for (const auto& C_submap_id_data : C_submaps) {
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for (const auto& C_submap_id_data : C_submaps) {
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submap_data_.at(C_submap_id_data.id).pose = ToPose(C_submap_id_data.data);
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submap_data_.at(C_submap_id_data.id).pose = ToPose(C_submap_id_data.data);
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}
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}
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for (size_t trajectory_id = 0; trajectory_id != node_data_.size();
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for (const auto& C_node_id_data : C_nodes) {
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++trajectory_id) {
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node_data_.at(C_node_id_data.id).pose = ToPose(C_node_id_data.data);
|
||||||
for (auto& index_node_data : node_data_[trajectory_id]) {
|
|
||||||
index_node_data.second.pose =
|
|
||||||
ToPose(C_nodes[trajectory_id].at(index_node_data.first));
|
|
||||||
}
|
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
const std::vector<std::map<int, NodeData>>& OptimizationProblem::node_data()
|
const mapping::MapById<mapping::NodeId, NodeData>&
|
||||||
const {
|
OptimizationProblem::node_data() const {
|
||||||
return node_data_;
|
return node_data_;
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
|
@ -79,20 +79,15 @@ class OptimizationProblem {
|
||||||
void Solve(const std::vector<Constraint>& constraints,
|
void Solve(const std::vector<Constraint>& constraints,
|
||||||
const std::set<int>& frozen_trajectories);
|
const std::set<int>& frozen_trajectories);
|
||||||
|
|
||||||
const std::vector<std::map<int, NodeData>>& node_data() const;
|
const mapping::MapById<mapping::NodeId, NodeData>& node_data() const;
|
||||||
const mapping::MapById<mapping::SubmapId, SubmapData>& submap_data() const;
|
const mapping::MapById<mapping::SubmapId, SubmapData>& submap_data() const;
|
||||||
|
|
||||||
private:
|
private:
|
||||||
struct TrajectoryData {
|
|
||||||
// TODO(hrapp): Remove, once we can relabel constraints.
|
|
||||||
int next_node_index = 0;
|
|
||||||
};
|
|
||||||
mapping::sparse_pose_graph::proto::OptimizationProblemOptions options_;
|
mapping::sparse_pose_graph::proto::OptimizationProblemOptions options_;
|
||||||
std::vector<std::deque<sensor::ImuData>> imu_data_;
|
std::vector<std::deque<sensor::ImuData>> imu_data_;
|
||||||
std::vector<std::map<int, NodeData>> node_data_;
|
mapping::MapById<mapping::NodeId, NodeData> node_data_;
|
||||||
std::vector<transform::TransformInterpolationBuffer> odometry_data_;
|
std::vector<transform::TransformInterpolationBuffer> odometry_data_;
|
||||||
mapping::MapById<mapping::SubmapId, SubmapData> submap_data_;
|
mapping::MapById<mapping::SubmapId, SubmapData> submap_data_;
|
||||||
std::vector<TrajectoryData> trajectory_data_;
|
|
||||||
};
|
};
|
||||||
|
|
||||||
} // namespace sparse_pose_graph
|
} // namespace sparse_pose_graph
|
||||||
|
|
Loading…
Reference in New Issue