Fix 3D yaw rotation in GenerateDiscreteScans. (#640)

Correctly generates discrete scans rotating around yaw in the gravity-aligned global map frame.
Fixes #639.
PAIR=wohe
master
gaschler 2017-11-08 17:37:36 +01:00 committed by GitHub
parent eb96c91473
commit 386ee328d8
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GPG Key ID: 4AEE18F83AFDEB23
6 changed files with 92 additions and 73 deletions

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@ -157,7 +157,8 @@ FastCorrelativeScanMatcher::FastCorrelativeScanMatcher(
FastCorrelativeScanMatcher::~FastCorrelativeScanMatcher() {} FastCorrelativeScanMatcher::~FastCorrelativeScanMatcher() {}
bool FastCorrelativeScanMatcher::Match( bool FastCorrelativeScanMatcher::Match(
const transform::Rigid3d& initial_pose_estimate, const transform::Rigid3d& global_node_pose,
const transform::Rigid3d& global_submap_pose,
const mapping::TrajectoryNode::Data& constant_data, const float min_score, const mapping::TrajectoryNode::Data& constant_data, const float min_score,
float* const score, transform::Rigid3d* const pose_estimate, float* const score, transform::Rigid3d* const pose_estimate,
float* const rotational_score, float* const low_resolution_score) const { float* const rotational_score, float* const low_resolution_score) const {
@ -168,7 +169,8 @@ bool FastCorrelativeScanMatcher::Match(
common::RoundToInt(options_.linear_z_search_window() / resolution_), common::RoundToInt(options_.linear_z_search_window() / resolution_),
options_.angular_search_window(), &low_resolution_matcher}; options_.angular_search_window(), &low_resolution_matcher};
return MatchWithSearchParameters( return MatchWithSearchParameters(
search_parameters, initial_pose_estimate, search_parameters, global_node_pose.cast<float>(),
global_submap_pose.cast<float>(),
constant_data.high_resolution_point_cloud, constant_data.high_resolution_point_cloud,
constant_data.rotational_scan_matcher_histogram, constant_data.rotational_scan_matcher_histogram,
constant_data.gravity_alignment, min_score, score, pose_estimate, constant_data.gravity_alignment, min_score, score, pose_estimate,
@ -176,12 +178,11 @@ bool FastCorrelativeScanMatcher::Match(
} }
bool FastCorrelativeScanMatcher::MatchFullSubmap( bool FastCorrelativeScanMatcher::MatchFullSubmap(
const Eigen::Quaterniond& gravity_alignment, const Eigen::Quaterniond& global_node_rotation,
const Eigen::Quaterniond& global_submap_rotation,
const mapping::TrajectoryNode::Data& constant_data, const float min_score, const mapping::TrajectoryNode::Data& constant_data, const float min_score,
float* const score, transform::Rigid3d* const pose_estimate, float* const score, transform::Rigid3d* const pose_estimate,
float* const rotational_score, float* const low_resolution_score) const { float* const rotational_score, float* const low_resolution_score) const {
const transform::Rigid3d initial_pose_estimate(Eigen::Vector3d::Zero(),
gravity_alignment);
float max_point_distance = 0.f; float max_point_distance = 0.f;
for (const Eigen::Vector3f& point : for (const Eigen::Vector3f& point :
constant_data.high_resolution_point_cloud) { constant_data.high_resolution_point_cloud) {
@ -195,7 +196,9 @@ bool FastCorrelativeScanMatcher::MatchFullSubmap(
const SearchParameters search_parameters{ const SearchParameters search_parameters{
linear_window_size, linear_window_size, M_PI, &low_resolution_matcher}; linear_window_size, linear_window_size, M_PI, &low_resolution_matcher};
return MatchWithSearchParameters( return MatchWithSearchParameters(
search_parameters, initial_pose_estimate, search_parameters,
transform::Rigid3f::Rotation(global_node_rotation.cast<float>()),
transform::Rigid3f::Rotation(global_submap_rotation.cast<float>()),
constant_data.high_resolution_point_cloud, constant_data.high_resolution_point_cloud,
constant_data.rotational_scan_matcher_histogram, constant_data.rotational_scan_matcher_histogram,
constant_data.gravity_alignment, min_score, score, pose_estimate, constant_data.gravity_alignment, min_score, score, pose_estimate,
@ -204,7 +207,8 @@ bool FastCorrelativeScanMatcher::MatchFullSubmap(
bool FastCorrelativeScanMatcher::MatchWithSearchParameters( bool FastCorrelativeScanMatcher::MatchWithSearchParameters(
const FastCorrelativeScanMatcher::SearchParameters& search_parameters, const FastCorrelativeScanMatcher::SearchParameters& search_parameters,
const transform::Rigid3d& initial_pose_estimate, const transform::Rigid3f& global_node_pose,
const transform::Rigid3f& global_submap_pose,
const sensor::PointCloud& point_cloud, const sensor::PointCloud& point_cloud,
const Eigen::VectorXf& rotational_scan_matcher_histogram, const Eigen::VectorXf& rotational_scan_matcher_histogram,
const Eigen::Quaterniond& gravity_alignment, const float min_score, const Eigen::Quaterniond& gravity_alignment, const float min_score,
@ -215,7 +219,7 @@ bool FastCorrelativeScanMatcher::MatchWithSearchParameters(
const std::vector<DiscreteScan> discrete_scans = GenerateDiscreteScans( const std::vector<DiscreteScan> discrete_scans = GenerateDiscreteScans(
search_parameters, point_cloud, rotational_scan_matcher_histogram, search_parameters, point_cloud, rotational_scan_matcher_histogram,
gravity_alignment, initial_pose_estimate.cast<float>()); gravity_alignment, global_node_pose, global_submap_pose);
const std::vector<Candidate> lowest_resolution_candidates = const std::vector<Candidate> lowest_resolution_candidates =
ComputeLowestResolutionCandidates(search_parameters, discrete_scans); ComputeLowestResolutionCandidates(search_parameters, discrete_scans);
@ -284,7 +288,8 @@ std::vector<DiscreteScan> FastCorrelativeScanMatcher::GenerateDiscreteScans(
const sensor::PointCloud& point_cloud, const sensor::PointCloud& point_cloud,
const Eigen::VectorXf& rotational_scan_matcher_histogram, const Eigen::VectorXf& rotational_scan_matcher_histogram,
const Eigen::Quaterniond& gravity_alignment, const Eigen::Quaterniond& gravity_alignment,
const transform::Rigid3f& initial_pose) const { const transform::Rigid3f& global_node_pose,
const transform::Rigid3f& global_submap_pose) const {
std::vector<DiscreteScan> result; std::vector<DiscreteScan> result;
// We set this value to something on the order of resolution to make sure that // We set this value to something on the order of resolution to make sure that
// the std::acos() below is defined. // the std::acos() below is defined.
@ -299,15 +304,15 @@ std::vector<DiscreteScan> FastCorrelativeScanMatcher::GenerateDiscreteScans(
(2.f * common::Pow2(max_scan_range))); (2.f * common::Pow2(max_scan_range)));
const int angular_window_size = common::RoundToInt( const int angular_window_size = common::RoundToInt(
search_parameters.angular_search_window / angular_step_size); search_parameters.angular_search_window / angular_step_size);
// TODO(whess): Should there be a small search window for rotations around
// x and y?
std::vector<float> angles; std::vector<float> angles;
for (int rz = -angular_window_size; rz <= angular_window_size; ++rz) { for (int rz = -angular_window_size; rz <= angular_window_size; ++rz) {
angles.push_back(rz * angular_step_size); angles.push_back(rz * angular_step_size);
} }
const transform::Rigid3f node_to_submap =
global_submap_pose.inverse() * global_node_pose;
const std::vector<float> scores = rotational_scan_matcher_.Match( const std::vector<float> scores = rotational_scan_matcher_.Match(
rotational_scan_matcher_histogram, rotational_scan_matcher_histogram,
transform::GetYaw(initial_pose.rotation() * transform::GetYaw(node_to_submap.rotation() *
gravity_alignment.inverse().cast<float>()), gravity_alignment.inverse().cast<float>()),
angles); angles);
for (size_t i = 0; i != angles.size(); ++i) { for (size_t i = 0; i != angles.size(); ++i) {
@ -319,9 +324,10 @@ std::vector<DiscreteScan> FastCorrelativeScanMatcher::GenerateDiscreteScans(
// and rotation of the 'initial_pose', so that the rotation is around the // and rotation of the 'initial_pose', so that the rotation is around the
// origin of the range data, and yaw is in map frame. // origin of the range data, and yaw is in map frame.
const transform::Rigid3f pose( const transform::Rigid3f pose(
initial_pose.translation(), node_to_submap.translation(),
transform::AngleAxisVectorToRotationQuaternion(angle_axis) * global_submap_pose.rotation().inverse() *
initial_pose.rotation()); transform::AngleAxisVectorToRotationQuaternion(angle_axis) *
global_node_pose.rotation());
result.push_back( result.push_back(
DiscretizeScan(search_parameters, point_cloud, pose, scores[i])); DiscretizeScan(search_parameters, point_cloud, pose, scores[i]));
} }

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@ -61,20 +61,23 @@ class FastCorrelativeScanMatcher {
delete; delete;
// Aligns the node with the given 'constant_data' within the 'hybrid_grid' // Aligns the node with the given 'constant_data' within the 'hybrid_grid'
// given an 'initial_pose_estimate'. If a score above 'min_score' (excluding // given 'global_node_pose' and 'global_submap_pose'. If a score above
// equality) is possible, true is returned, and 'score', 'pose_estimate', // 'min_score' (excluding equality) is possible, true is returned, and
// 'rotational_score', and 'low_resolution_score' are updated with the result. // 'score', 'pose_estimate', 'rotational_score', and 'low_resolution_score'
bool Match(const transform::Rigid3d& initial_pose_estimate, // are updated with the result.
bool Match(const transform::Rigid3d& global_node_pose,
const transform::Rigid3d& global_submap_pose,
const mapping::TrajectoryNode::Data& constant_data, const mapping::TrajectoryNode::Data& constant_data,
float min_score, float* score, transform::Rigid3d* pose_estimate, float min_score, float* score, transform::Rigid3d* pose_estimate,
float* rotational_score, float* low_resolution_score) const; float* rotational_score, float* low_resolution_score) const;
// Aligns the node with the given 'constant_data' within the 'hybrid_grid' // Aligns the node with the given 'constant_data' within the 'hybrid_grid'
// given a rotation which is expected to be approximately gravity aligned. // given rotations which are expected to be approximately gravity aligned.
// If a score above 'min_score' (excluding equality) is possible, true is // If a score above 'min_score' (excluding equality) is possible, true is
// returned, and 'score', 'pose_estimate', 'rotational_score', and // returned, and 'score', 'pose_estimate', 'rotational_score', and
// 'low_resolution_score' are updated with the result. // 'low_resolution_score' are updated with the result.
bool MatchFullSubmap(const Eigen::Quaterniond& gravity_alignment, bool MatchFullSubmap(const Eigen::Quaterniond& global_node_rotation,
const Eigen::Quaterniond& global_submap_rotation,
const mapping::TrajectoryNode::Data& constant_data, const mapping::TrajectoryNode::Data& constant_data,
float min_score, float* score, float min_score, float* score,
transform::Rigid3d* pose_estimate, transform::Rigid3d* pose_estimate,
@ -91,7 +94,8 @@ class FastCorrelativeScanMatcher {
bool MatchWithSearchParameters( bool MatchWithSearchParameters(
const SearchParameters& search_parameters, const SearchParameters& search_parameters,
const transform::Rigid3d& initial_pose_estimate, const transform::Rigid3f& global_node_pose,
const transform::Rigid3f& global_submap_pose,
const sensor::PointCloud& point_cloud, const sensor::PointCloud& point_cloud,
const Eigen::VectorXf& rotational_scan_matcher_histogram, const Eigen::VectorXf& rotational_scan_matcher_histogram,
const Eigen::Quaterniond& gravity_alignment, float min_score, const Eigen::Quaterniond& gravity_alignment, float min_score,
@ -106,7 +110,8 @@ class FastCorrelativeScanMatcher {
const sensor::PointCloud& point_cloud, const sensor::PointCloud& point_cloud,
const Eigen::VectorXf& rotational_scan_matcher_histogram, const Eigen::VectorXf& rotational_scan_matcher_histogram,
const Eigen::Quaterniond& gravity_alignment, const Eigen::Quaterniond& gravity_alignment,
const transform::Rigid3f& initial_pose) const; const transform::Rigid3f& global_node_pose,
const transform::Rigid3f& global_submap_pose) const;
std::vector<Candidate> GenerateLowestResolutionCandidates( std::vector<Candidate> GenerateLowestResolutionCandidates(
const SearchParameters& search_parameters, int num_discrete_scans) const; const SearchParameters& search_parameters, int num_discrete_scans) const;
void ScoreCandidates(int depth, void ScoreCandidates(int depth,

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@ -145,9 +145,9 @@ TEST_F(FastCorrelativeScanMatcherTest, CorrectPoseForMatch) {
float rotational_score = 0.f; float rotational_score = 0.f;
float low_resolution_score = 0.f; float low_resolution_score = 0.f;
EXPECT_TRUE(fast_correlative_scan_matcher->Match( EXPECT_TRUE(fast_correlative_scan_matcher->Match(
transform::Rigid3d::Identity(), CreateConstantData(point_cloud_), transform::Rigid3d::Identity(), transform::Rigid3d::Identity(),
kMinScore, &score, &pose_estimate, &rotational_score, CreateConstantData(point_cloud_), kMinScore, &score, &pose_estimate,
&low_resolution_score)); &rotational_score, &low_resolution_score));
EXPECT_LT(kMinScore, score); EXPECT_LT(kMinScore, score);
EXPECT_LT(0.09f, rotational_score); EXPECT_LT(0.09f, rotational_score);
EXPECT_LT(0.14f, low_resolution_score); EXPECT_LT(0.14f, low_resolution_score);
@ -156,7 +156,7 @@ TEST_F(FastCorrelativeScanMatcherTest, CorrectPoseForMatch) {
<< "Actual: " << transform::ToProto(pose_estimate).DebugString() << "Actual: " << transform::ToProto(pose_estimate).DebugString()
<< "\nExpected: " << transform::ToProto(expected_pose).DebugString(); << "\nExpected: " << transform::ToProto(expected_pose).DebugString();
EXPECT_FALSE(fast_correlative_scan_matcher->Match( EXPECT_FALSE(fast_correlative_scan_matcher->Match(
transform::Rigid3d::Identity(), transform::Rigid3d::Identity(), transform::Rigid3d::Identity(),
CreateConstantData({Eigen::Vector3f(42.f, 42.f, 42.f)}), kMinScore, CreateConstantData({Eigen::Vector3f(42.f, 42.f, 42.f)}), kMinScore,
&score, &pose_estimate, &rotational_score, &low_resolution_score)) &score, &pose_estimate, &rotational_score, &low_resolution_score))
<< low_resolution_score; << low_resolution_score;
@ -174,9 +174,9 @@ TEST_F(FastCorrelativeScanMatcherTest, CorrectPoseForMatchFullSubmap) {
float rotational_score = 0.f; float rotational_score = 0.f;
float low_resolution_score = 0.f; float low_resolution_score = 0.f;
EXPECT_TRUE(fast_correlative_scan_matcher->MatchFullSubmap( EXPECT_TRUE(fast_correlative_scan_matcher->MatchFullSubmap(
Eigen::Quaterniond::Identity(), CreateConstantData(point_cloud_), Eigen::Quaterniond::Identity(), Eigen::Quaterniond::Identity(),
kMinScore, &score, &pose_estimate, &rotational_score, CreateConstantData(point_cloud_), kMinScore, &score, &pose_estimate,
&low_resolution_score)); &rotational_score, &low_resolution_score));
EXPECT_LT(kMinScore, score); EXPECT_LT(kMinScore, score);
EXPECT_LT(0.09f, rotational_score); EXPECT_LT(0.09f, rotational_score);
EXPECT_LT(0.14f, low_resolution_score); EXPECT_LT(0.14f, low_resolution_score);
@ -185,7 +185,7 @@ TEST_F(FastCorrelativeScanMatcherTest, CorrectPoseForMatchFullSubmap) {
<< "Actual: " << transform::ToProto(pose_estimate).DebugString() << "Actual: " << transform::ToProto(pose_estimate).DebugString()
<< "\nExpected: " << transform::ToProto(expected_pose).DebugString(); << "\nExpected: " << transform::ToProto(expected_pose).DebugString();
EXPECT_FALSE(fast_correlative_scan_matcher->MatchFullSubmap( EXPECT_FALSE(fast_correlative_scan_matcher->MatchFullSubmap(
Eigen::Quaterniond::Identity(), Eigen::Quaterniond::Identity(), Eigen::Quaterniond::Identity(),
CreateConstantData({Eigen::Vector3f(42.f, 42.f, 42.f)}), kMinScore, CreateConstantData({Eigen::Vector3f(42.f, 42.f, 42.f)}), kMinScore,
&score, &pose_estimate, &rotational_score, &low_resolution_score)) &score, &pose_estimate, &rotational_score, &low_resolution_score))
<< low_resolution_score; << low_resolution_score;

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@ -179,19 +179,21 @@ void SparsePoseGraph::ComputeConstraint(const mapping::NodeId& node_id,
const mapping::SubmapId& submap_id) { const mapping::SubmapId& submap_id) {
CHECK(submap_data_.at(submap_id).state == SubmapState::kFinished); CHECK(submap_data_.at(submap_id).state == SubmapState::kFinished);
const transform::Rigid3d inverse_submap_pose = const transform::Rigid3d global_node_pose =
optimization_problem_.submap_data().at(submap_id).pose.inverse();
const transform::Rigid3d initial_relative_pose =
inverse_submap_pose *
optimization_problem_.node_data().at(node_id).global_pose; optimization_problem_.node_data().at(node_id).global_pose;
const transform::Rigid3d global_submap_pose =
optimization_problem_.submap_data().at(submap_id).pose;
const transform::Rigid3d global_submap_pose_inverse =
global_submap_pose.inverse();
std::vector<mapping::TrajectoryNode> submap_nodes; std::vector<mapping::TrajectoryNode> submap_nodes;
for (const mapping::NodeId& submap_node_id : for (const mapping::NodeId& submap_node_id :
submap_data_.at(submap_id).node_ids) { submap_data_.at(submap_id).node_ids) {
submap_nodes.push_back(mapping::TrajectoryNode{ submap_nodes.push_back(mapping::TrajectoryNode{
trajectory_nodes_.at(submap_node_id).constant_data, trajectory_nodes_.at(submap_node_id).constant_data,
inverse_submap_pose * global_submap_pose_inverse *
trajectory_nodes_.at(submap_node_id).global_pose}); trajectory_nodes_.at(submap_node_id).global_pose});
} }
@ -211,24 +213,17 @@ void SparsePoseGraph::ComputeConstraint(const mapping::NodeId& node_id,
constraint_builder_.MaybeAddConstraint( constraint_builder_.MaybeAddConstraint(
submap_id, submap_data_.at(submap_id).submap.get(), node_id, submap_id, submap_data_.at(submap_id).submap.get(), node_id,
trajectory_nodes_.at(node_id).constant_data.get(), submap_nodes, trajectory_nodes_.at(node_id).constant_data.get(), submap_nodes,
initial_relative_pose); global_node_pose, global_submap_pose);
} else if (global_localization_samplers_[node_id.trajectory_id]->Pulse()) { } else if (global_localization_samplers_[node_id.trajectory_id]->Pulse()) {
// In this situation, 'initial_relative_pose' is: // In this situation, 'global_node_pose' and 'global_submap_pose' have
// // orientations agreeing on gravity. Their relationship regarding yaw is
// submap <- global map 2 <- global map 1 <- tracking // arbitrary. Finding the correct yaw component will be handled by the
// (agreeing on gravity) // matching procedure in the FastCorrelativeScanMatcher, and the given yaw
// // is essentially ignored.
// Since they possibly came from two disconnected trajectories, the only
// guaranteed connection between the tracking and the submap frames is
// an agreement on the direction of gravity. Therefore, excluding yaw,
// 'initial_relative_pose.rotation()' is a good estimate of the relative
// orientation of the point cloud in the submap frame. Finding the correct
// yaw component will be handled by the matching procedure in the
// FastCorrelativeScanMatcher, and the given yaw is essentially ignored.
constraint_builder_.MaybeAddGlobalConstraint( constraint_builder_.MaybeAddGlobalConstraint(
submap_id, submap_data_.at(submap_id).submap.get(), node_id, submap_id, submap_data_.at(submap_id).submap.get(), node_id,
trajectory_nodes_.at(node_id).constant_data.get(), submap_nodes, trajectory_nodes_.at(node_id).constant_data.get(), submap_nodes,
initial_relative_pose.rotation()); global_node_pose.rotation(), global_submap_pose.rotation());
} }
} }

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@ -59,8 +59,10 @@ void ConstraintBuilder::MaybeAddConstraint(
const mapping::NodeId& node_id, const mapping::NodeId& node_id,
const mapping::TrajectoryNode::Data* const constant_data, const mapping::TrajectoryNode::Data* const constant_data,
const std::vector<mapping::TrajectoryNode>& submap_nodes, const std::vector<mapping::TrajectoryNode>& submap_nodes,
const transform::Rigid3d& initial_pose) { const transform::Rigid3d& global_node_pose,
if (initial_pose.translation().norm() > options_.max_constraint_distance()) { const transform::Rigid3d& global_submap_pose) {
if ((global_node_pose.translation() - global_submap_pose.translation())
.norm() > options_.max_constraint_distance()) {
return; return;
} }
if (sampler_.Pulse()) { if (sampler_.Pulse()) {
@ -72,7 +74,8 @@ void ConstraintBuilder::MaybeAddConstraint(
ScheduleSubmapScanMatcherConstructionAndQueueWorkItem( ScheduleSubmapScanMatcherConstructionAndQueueWorkItem(
submap_id, submap_nodes, submap, [=]() EXCLUDES(mutex_) { submap_id, submap_nodes, submap, [=]() EXCLUDES(mutex_) {
ComputeConstraint(submap_id, node_id, false, /* match_full_submap */ ComputeConstraint(submap_id, node_id, false, /* match_full_submap */
constant_data, initial_pose, constraint); constant_data, global_node_pose, global_submap_pose,
constraint);
FinishComputation(current_computation); FinishComputation(current_computation);
}); });
} }
@ -83,7 +86,8 @@ void ConstraintBuilder::MaybeAddGlobalConstraint(
const mapping::NodeId& node_id, const mapping::NodeId& node_id,
const mapping::TrajectoryNode::Data* const constant_data, const mapping::TrajectoryNode::Data* const constant_data,
const std::vector<mapping::TrajectoryNode>& submap_nodes, const std::vector<mapping::TrajectoryNode>& submap_nodes,
const Eigen::Quaterniond& gravity_alignment) { const Eigen::Quaterniond& global_node_rotation,
const Eigen::Quaterniond& global_submap_rotation) {
common::MutexLocker locker(&mutex_); common::MutexLocker locker(&mutex_);
constraints_.emplace_back(); constraints_.emplace_back();
auto* const constraint = &constraints_.back(); auto* const constraint = &constraints_.back();
@ -91,10 +95,10 @@ void ConstraintBuilder::MaybeAddGlobalConstraint(
const int current_computation = current_computation_; const int current_computation = current_computation_;
ScheduleSubmapScanMatcherConstructionAndQueueWorkItem( ScheduleSubmapScanMatcherConstructionAndQueueWorkItem(
submap_id, submap_nodes, submap, [=]() EXCLUDES(mutex_) { submap_id, submap_nodes, submap, [=]() EXCLUDES(mutex_) {
ComputeConstraint(submap_id, node_id, true, /* match_full_submap */ ComputeConstraint(
constant_data, submap_id, node_id, true, /* match_full_submap */
transform::Rigid3d::Rotation(gravity_alignment), constant_data, transform::Rigid3d::Rotation(global_node_rotation),
constraint); transform::Rigid3d::Rotation(global_submap_rotation), constraint);
FinishComputation(current_computation); FinishComputation(current_computation);
}); });
} }
@ -166,7 +170,8 @@ void ConstraintBuilder::ComputeConstraint(
const mapping::SubmapId& submap_id, const mapping::NodeId& node_id, const mapping::SubmapId& submap_id, const mapping::NodeId& node_id,
bool match_full_submap, bool match_full_submap,
const mapping::TrajectoryNode::Data* const constant_data, const mapping::TrajectoryNode::Data* const constant_data,
const transform::Rigid3d& initial_pose, const transform::Rigid3d& global_node_pose,
const transform::Rigid3d& global_submap_pose,
std::unique_ptr<OptimizationProblem::Constraint>* constraint) { std::unique_ptr<OptimizationProblem::Constraint>* constraint) {
const SubmapScanMatcher* const submap_scan_matcher = const SubmapScanMatcher* const submap_scan_matcher =
GetSubmapScanMatcher(submap_id); GetSubmapScanMatcher(submap_id);
@ -178,6 +183,7 @@ void ConstraintBuilder::ComputeConstraint(
transform::Rigid3d pose_estimate; transform::Rigid3d pose_estimate;
float rotational_score = 0.f; float rotational_score = 0.f;
float low_resolution_score = 0.f; float low_resolution_score = 0.f;
// TODO(gaschler): Match methods should return unique_ptr<struct>.
// Compute 'pose_estimate' in three stages: // Compute 'pose_estimate' in three stages:
// 1. Fast estimate using the fast correlative scan matcher. // 1. Fast estimate using the fast correlative scan matcher.
@ -185,9 +191,9 @@ void ConstraintBuilder::ComputeConstraint(
// 3. Refine. // 3. Refine.
if (match_full_submap) { if (match_full_submap) {
if (submap_scan_matcher->fast_correlative_scan_matcher->MatchFullSubmap( if (submap_scan_matcher->fast_correlative_scan_matcher->MatchFullSubmap(
initial_pose.rotation(), *constant_data, global_node_pose.rotation(), global_submap_pose.rotation(),
options_.global_localization_min_score(), &score, &pose_estimate, *constant_data, options_.global_localization_min_score(), &score,
&rotational_score, &low_resolution_score)) { &pose_estimate, &rotational_score, &low_resolution_score)) {
CHECK_GT(score, options_.global_localization_min_score()); CHECK_GT(score, options_.global_localization_min_score());
CHECK_GE(node_id.trajectory_id, 0); CHECK_GE(node_id.trajectory_id, 0);
CHECK_GE(submap_id.trajectory_id, 0); CHECK_GE(submap_id.trajectory_id, 0);
@ -196,8 +202,9 @@ void ConstraintBuilder::ComputeConstraint(
} }
} else { } else {
if (submap_scan_matcher->fast_correlative_scan_matcher->Match( if (submap_scan_matcher->fast_correlative_scan_matcher->Match(
initial_pose, *constant_data, options_.min_score(), &score, global_node_pose, global_submap_pose, *constant_data,
&pose_estimate, &rotational_score, &low_resolution_score)) { options_.min_score(), &score, &pose_estimate, &rotational_score,
&low_resolution_score)) {
// We've reported a successful local match. // We've reported a successful local match.
CHECK_GT(score, options_.min_score()); CHECK_GT(score, options_.min_score());
} else { } else {
@ -238,8 +245,9 @@ void ConstraintBuilder::ComputeConstraint(
if (match_full_submap) { if (match_full_submap) {
info << " matches"; info << " matches";
} else { } else {
const transform::Rigid3d difference = const transform::Rigid3d difference = global_submap_pose.inverse() *
initial_pose.inverse() * constraint_transform; global_node_pose *
constraint_transform;
info << " differs by translation " << std::setprecision(2) info << " differs by translation " << std::setprecision(2)
<< difference.translation().norm() << " rotation " << difference.translation().norm() << " rotation "
<< std::setprecision(3) << transform::GetAngle(difference); << std::setprecision(3) << transform::GetAngle(difference);

View File

@ -68,7 +68,9 @@ class ConstraintBuilder {
// Schedules exploring a new constraint between 'submap' identified by // Schedules exploring a new constraint between 'submap' identified by
// 'submap_id', and the 'compressed_point_cloud' for 'node_id'. // 'submap_id', and the 'compressed_point_cloud' for 'node_id'.
// The 'initial_pose' is relative to the 'submap'. //
// 'global_node_pose' and 'global_submap_pose' are initial estimates of poses
// in the global map frame, i.e. both are gravity aligned.
// //
// The pointees of 'submap' and 'compressed_point_cloud' must stay valid until // The pointees of 'submap' and 'compressed_point_cloud' must stay valid until
// all computations are finished. // all computations are finished.
@ -77,14 +79,15 @@ class ConstraintBuilder {
const mapping::NodeId& node_id, const mapping::NodeId& node_id,
const mapping::TrajectoryNode::Data* const constant_data, const mapping::TrajectoryNode::Data* const constant_data,
const std::vector<mapping::TrajectoryNode>& submap_nodes, const std::vector<mapping::TrajectoryNode>& submap_nodes,
const transform::Rigid3d& initial_pose); const transform::Rigid3d& global_node_pose,
const transform::Rigid3d& global_submap_pose);
// Schedules exploring a new constraint between 'submap' identified by // Schedules exploring a new constraint between 'submap' identified by
// 'submap_id' and the 'compressed_point_cloud' for 'node_id'. // 'submap_id' and the 'compressed_point_cloud' for 'node_id'.
// This performs full-submap matching. // This performs full-submap matching.
// //
// The 'gravity_alignment' is the rotation to apply to the point cloud data // 'global_node_rotation' and 'global_submap_rotation' are initial estimates
// to make it approximately gravity aligned. // of roll and pitch, i.e. their yaw is essentially ignored.
// //
// The pointees of 'submap' and 'compressed_point_cloud' must stay valid until // The pointees of 'submap' and 'compressed_point_cloud' must stay valid until
// all computations are finished. // all computations are finished.
@ -93,7 +96,8 @@ class ConstraintBuilder {
const mapping::NodeId& node_id, const mapping::NodeId& node_id,
const mapping::TrajectoryNode::Data* const constant_data, const mapping::TrajectoryNode::Data* const constant_data,
const std::vector<mapping::TrajectoryNode>& submap_nodes, const std::vector<mapping::TrajectoryNode>& submap_nodes,
const Eigen::Quaterniond& gravity_alignment); const Eigen::Quaterniond& global_node_rotation,
const Eigen::Quaterniond& global_submap_rotation);
// Must be called after all computations related to one node have been added. // Must be called after all computations related to one node have been added.
void NotifyEndOfScan(); void NotifyEndOfScan();
@ -141,7 +145,8 @@ class ConstraintBuilder {
const mapping::SubmapId& submap_id, const mapping::NodeId& node_id, const mapping::SubmapId& submap_id, const mapping::NodeId& node_id,
bool match_full_submap, bool match_full_submap,
const mapping::TrajectoryNode::Data* const constant_data, const mapping::TrajectoryNode::Data* const constant_data,
const transform::Rigid3d& initial_pose, const transform::Rigid3d& global_node_pose,
const transform::Rigid3d& global_submap_pose,
std::unique_ptr<Constraint>* constraint) EXCLUDES(mutex_); std::unique_ptr<Constraint>* constraint) EXCLUDES(mutex_);
// Decrements the 'pending_computations_' count. If all computations are done, // Decrements the 'pending_computations_' count. If all computations are done,