Add landmarks to the state and deserialize them. (#988)
parent
36df3eec19
commit
1e4d558ac4
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@ -74,10 +74,15 @@ transform::Rigid3d GetInitialLandmarkPose(
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void AddLandmarkCostFunctions(
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const std::map<std::string, LandmarkNode>& landmark_nodes,
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const MapById<NodeId, NodeData>& node_data,
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bool freeze_landmarks, const MapById<NodeId, NodeData>& node_data,
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MapById<NodeId, std::array<double, 3>>* C_nodes,
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std::map<std::string, CeresPose>* C_landmarks, ceres::Problem* problem) {
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for (const auto& landmark_node : landmark_nodes) {
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// Do not use landmarks that were not optimized for localization.
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if (!landmark_node.second.global_landmark_pose.has_value() &&
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freeze_landmarks) {
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continue;
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}
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for (const auto& observation : landmark_node.second.landmark_observations) {
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const std::string& landmark_id = landmark_node.first;
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const auto& begin_of_trajectory =
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@ -109,6 +114,12 @@ void AddLandmarkCostFunctions(
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CeresPose(starting_point, nullptr /* translation_parametrization */,
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common::make_unique<ceres::QuaternionParameterization>(),
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problem));
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if (freeze_landmarks) {
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problem->SetParameterBlockConstant(
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C_landmarks->at(landmark_id).translation());
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problem->SetParameterBlockConstant(
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C_landmarks->at(landmark_id).rotation());
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}
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}
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problem->AddResidualBlock(
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LandmarkCostFunction2D::CreateAutoDiffCostFunction(
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@ -198,6 +209,7 @@ void OptimizationProblem2D::Solve(
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MapById<NodeId, std::array<double, 3>> C_nodes;
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std::map<std::string, CeresPose> C_landmarks;
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bool first_submap = true;
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bool freeze_landmarks = !frozen_trajectories.empty();
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for (const auto& submap_id_data : submap_data_) {
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const bool frozen =
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frozen_trajectories.count(submap_id_data.id.trajectory_id) != 0;
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@ -231,9 +243,9 @@ void OptimizationProblem2D::Solve(
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C_submaps.at(constraint.submap_id).data(),
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C_nodes.at(constraint.node_id).data());
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}
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// Add cost functions for landmarks.
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AddLandmarkCostFunctions(landmark_nodes, node_data_, &C_nodes, &C_landmarks,
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&problem);
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// Add cost functions for landmarks.
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AddLandmarkCostFunctions(landmark_nodes, freeze_landmarks, node_data_,
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&C_nodes, &C_landmarks, &problem);
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// Add penalties for violating odometry or changes between consecutive nodes
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// if odometry is not available.
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for (auto node_it = node_data_.begin(); node_it != node_data_.end();) {
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@ -550,8 +550,8 @@ void PoseGraph2D::RunOptimization() {
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}
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// No other thread is accessing the optimization_problem_, constraints_,
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// frozen_trajectories_ and landmark_nodes_ when executing the Solve. Solve
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// is time consuming, so not taking the mutex before Solve to avoid blocking
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// frozen_trajectories_ and landmark_nodes_ when executing the Solve. Solve is
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// time consuming, so not taking the mutex before Solve to avoid blocking
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// foreground processing.
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optimization_problem_.Solve(constraints_, frozen_trajectories_,
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landmark_nodes_);
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@ -257,6 +257,9 @@ class PoseGraph2D : public PoseGraph {
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// Set of all frozen trajectories not being optimized.
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std::set<int> frozen_trajectories_ GUARDED_BY(mutex_);
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// Whether or not optimize landmark poses.
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bool freeze_landmarks_ GUARDED_BY(mutex_) = false;
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// Set of all finished trajectories.
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std::set<int> finished_trajectories_ GUARDED_BY(mutex_);
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@ -117,10 +117,15 @@ transform::Rigid3d GetInitialLandmarkPose(
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void AddLandmarkCostFunctions(
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const std::map<std::string, LandmarkNode>& landmark_nodes,
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const MapById<NodeId, NodeData>& node_data,
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bool freeze_landmarks, const MapById<NodeId, NodeData>& node_data,
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MapById<NodeId, CeresPose>* C_nodes,
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std::map<std::string, CeresPose>* C_landmarks, ceres::Problem* problem) {
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for (const auto& landmark_node : landmark_nodes) {
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// Do not use landmarks that were not optimized for localization.
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if (!landmark_node.second.global_landmark_pose.has_value() &&
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freeze_landmarks) {
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continue;
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}
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for (const auto& observation : landmark_node.second.landmark_observations) {
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const std::string& landmark_id = landmark_node.first;
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const auto& begin_of_trajectory =
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@ -152,6 +157,12 @@ void AddLandmarkCostFunctions(
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CeresPose(starting_point, nullptr /* translation_parametrization */,
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common::make_unique<ceres::QuaternionParameterization>(),
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problem));
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if (freeze_landmarks) {
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problem->SetParameterBlockConstant(
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C_landmarks->at(landmark_id).translation());
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problem->SetParameterBlockConstant(
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C_landmarks->at(landmark_id).rotation());
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}
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}
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problem->AddResidualBlock(
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LandmarkCostFunction3D::CreateAutoDiffCostFunction(
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@ -267,6 +278,7 @@ void OptimizationProblem3D::Solve(
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MapById<NodeId, CeresPose> C_nodes;
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std::map<std::string, CeresPose> C_landmarks;
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bool first_submap = true;
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bool freeze_landmarks = !frozen_trajectories.empty();
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for (const auto& submap_id_data : submap_data_) {
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const bool frozen =
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frozen_trajectories.count(submap_id_data.id.trajectory_id) != 0;
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@ -325,9 +337,9 @@ void OptimizationProblem3D::Solve(
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C_nodes.at(constraint.node_id).rotation(),
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C_nodes.at(constraint.node_id).translation());
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}
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// Add cost functions for landmarks.
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AddLandmarkCostFunctions(landmark_nodes, node_data_, &C_nodes, &C_landmarks,
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&problem);
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// Add cost functions for landmarks.
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AddLandmarkCostFunctions(landmark_nodes, freeze_landmarks, node_data_,
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&C_nodes, &C_landmarks, &problem);
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// Add constraints based on IMU observations of angular velocities and
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// linear acceleration.
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if (fix_z_ == FixZ::kNo) {
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@ -593,8 +593,8 @@ void PoseGraph3D::RunOptimization() {
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}
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// No other thread is accessing the optimization_problem_, constraints_,
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// frozen_trajectories_ and landmark_nodes_ when executing the Solve. Solve
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// is time consuming, so not taking the mutex before Solve to avoid blocking
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// frozen_trajectories_ and landmark_nodes_ when executing the Solve. Solve is
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// time consuming, so not taking the mutex before Solve to avoid blocking
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// foreground processing.
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optimization_problem_.Solve(constraints_, frozen_trajectories_,
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landmark_nodes_);
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@ -261,6 +261,9 @@ class PoseGraph3D : public PoseGraph {
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// Set of all frozen trajectories not being optimized.
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std::set<int> frozen_trajectories_ GUARDED_BY(mutex_);
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// Whether or not optimize landmark poses.
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bool freeze_landmarks_ GUARDED_BY(mutex_) = false;
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// Set of all finished trajectories.
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std::set<int> finished_trajectories_ GUARDED_BY(mutex_);
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@ -369,7 +369,11 @@ void MapBuilder::LoadState(io::ProtoStreamReaderInterface* const reader,
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sensor::FromProto(
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proto.fixed_frame_pose_data().fixed_frame_pose_data()));
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}
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// TODO(pifon2a, ojura): deserialize landmarks
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if (proto.has_landmark_data()) {
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pose_graph_->AddLandmarkData(
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trajectory_remapping.at(proto.landmark_data().trajectory_id()),
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sensor::FromProto(proto.landmark_data().landmark_data()));
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}
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}
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}
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@ -48,6 +48,11 @@ message FixedFramePoseData {
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sensor.proto.FixedFramePoseData fixed_frame_pose_data = 2;
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}
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message LandmarkData {
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int32 trajectory_id = 1;
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sensor.proto.LandmarkData landmark_data = 2;
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}
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message TrajectoryData {
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int32 trajectory_id = 1;
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double gravity_constant = 2;
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@ -62,6 +67,7 @@ message SerializedData {
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OdometryData odometry_data = 4;
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FixedFramePoseData fixed_frame_pose_data = 5;
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TrajectoryData trajectory_data = 6;
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LandmarkData landmark_data = 7;
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}
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message LocalSlamResultData {
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