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@ -54,6 +54,7 @@
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#include "gflags/gflags.h"
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#include "gflags/gflags.h"
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#include "glog/log_severity.h"
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#include "glog/log_severity.h"
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#include "glog/logging.h"
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#include "glog/logging.h"
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#include "nav_msgs/OccupancyGrid.h"
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#include "nav_msgs/Odometry.h"
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#include "nav_msgs/Odometry.h"
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#include "pcl/point_cloud.h"
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#include "pcl/point_cloud.h"
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#include "pcl/point_types.h"
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#include "pcl/point_types.h"
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@ -102,6 +103,7 @@ constexpr char kMultiEchoLaserScanTopic[] = "/echoes";
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constexpr char kPointCloud2Topic[] = "/points2";
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constexpr char kPointCloud2Topic[] = "/points2";
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constexpr char kImuTopic[] = "/imu";
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constexpr char kImuTopic[] = "/imu";
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constexpr char kOdometryTopic[] = "/odom";
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constexpr char kOdometryTopic[] = "/odom";
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constexpr char kOccupancyGridTopic[] = "/map";
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const string& CheckNoLeadingSlash(const string& frame_id) {
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const string& CheckNoLeadingSlash(const string& frame_id) {
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if (frame_id.size() > 0) {
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if (frame_id.size() > 0) {
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@ -194,6 +196,7 @@ struct SensorData {
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class Node {
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class Node {
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public:
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public:
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Node();
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Node();
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~Node();
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Node(const Node&) = delete;
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Node(const Node&) = delete;
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Node& operator=(const Node&) = delete;
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Node& operator=(const Node&) = delete;
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@ -230,6 +233,7 @@ class Node {
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void PublishSubmapList(int64 timestamp);
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void PublishSubmapList(int64 timestamp);
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void PublishPose(int64 timestamp);
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void PublishPose(int64 timestamp);
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void SpinOccupancyGridThreadForever();
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// TODO(hrapp): Pull out the common functionality between this and MapWriter
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// TODO(hrapp): Pull out the common functionality between this and MapWriter
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// into an open sourcable MapWriter.
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// into an open sourcable MapWriter.
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@ -251,9 +255,7 @@ class Node {
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tf2_ros::Buffer tf_buffer_;
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tf2_ros::Buffer tf_buffer_;
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tf2_ros::TransformListener tf_;
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tf2_ros::TransformListener tf_;
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tf2_ros::TransformBroadcaster tf_broadcaster_;
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carto::common::ThreadPool thread_pool_;
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carto::common::ThreadPool thread_pool_;
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int64 last_pose_publish_timestamp_;
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carto::common::Mutex mutex_;
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carto::common::Mutex mutex_;
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std::unique_ptr<carto::mapping::GlobalTrajectoryBuilderInterface>
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std::unique_ptr<carto::mapping::GlobalTrajectoryBuilderInterface>
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trajectory_builder_ GUARDED_BY(mutex_);
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trajectory_builder_ GUARDED_BY(mutex_);
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@ -262,9 +264,17 @@ class Node {
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std::unique_ptr<carto::mapping::SparsePoseGraph> sparse_pose_graph_;
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std::unique_ptr<carto::mapping::SparsePoseGraph> sparse_pose_graph_;
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::ros::Publisher submap_list_publisher_;
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::ros::Publisher submap_list_publisher_;
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int64 last_submap_list_publish_timestamp_;
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int64 last_submap_list_publish_timestamp_ = 0;
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::ros::ServiceServer submap_query_server_;
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::ros::ServiceServer submap_query_server_;
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tf2_ros::TransformBroadcaster tf_broadcaster_;
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int64 last_pose_publish_timestamp_ = 0;
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::ros::Publisher occupancy_grid_publisher_;
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carto::mapping_2d::proto::SubmapsOptions submaps_options_;
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std::thread occupancy_grid_thread_;
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bool terminating_ = false GUARDED_BY(mutex_);
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// Time at which we last logged the rates of incoming sensor data.
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// Time at which we last logged the rates of incoming sensor data.
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std::chrono::steady_clock::time_point last_sensor_data_rates_logging_time_;
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std::chrono::steady_clock::time_point last_sensor_data_rates_logging_time_;
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std::map<string, carto::common::RateTimer<>> rate_timers_;
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std::map<string, carto::common::RateTimer<>> rate_timers_;
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@ -274,9 +284,17 @@ Node::Node()
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: node_handle_("~"),
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: node_handle_("~"),
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tf_buffer_(ros::Duration(1000)),
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tf_buffer_(ros::Duration(1000)),
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tf_(tf_buffer_),
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tf_(tf_buffer_),
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thread_pool_(10),
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thread_pool_(10) {}
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last_submap_list_publish_timestamp_(0),
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last_pose_publish_timestamp_(0) {}
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Node::~Node() {
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{
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carto::common::MutexLocker lock(&mutex_);
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terminating_ = true;
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}
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if (occupancy_grid_thread_.joinable()) {
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occupancy_grid_thread_.join();
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}
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}
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Rigid3d Node::LookupToTrackingTransformOrThrow(const carto::common::Time time,
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Rigid3d Node::LookupToTrackingTransformOrThrow(const carto::common::Time time,
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const string& frame_id) {
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const string& frame_id) {
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@ -290,15 +308,13 @@ void Node::OdometryMessageCallback(const nav_msgs::Odometry::ConstPtr& msg) {
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msg->header.frame_id, ToRigid3d(msg->pose.pose),
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msg->header.frame_id, ToRigid3d(msg->pose.pose),
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ToPoseCovariance(msg->pose.covariance));
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ToPoseCovariance(msg->pose.covariance));
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sensor_collator_.AddSensorData(
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sensor_collator_.AddSensorData(
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kTrajectoryId,
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kTrajectoryId, carto::common::ToUniversal(FromRos(msg->header.stamp)),
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carto::common::ToUniversal(FromRos(msg->header.stamp)),
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kOdometryTopic, std::move(sensor_data));
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kOdometryTopic, std::move(sensor_data));
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}
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}
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void Node::AddOdometry(int64 timestamp, const string& frame_id,
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void Node::AddOdometry(int64 timestamp, const string& frame_id,
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const Rigid3d& pose, const PoseCovariance& covariance) {
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const Rigid3d& pose, const PoseCovariance& covariance) {
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const carto::common::Time time =
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const carto::common::Time time = carto::common::FromUniversal(timestamp);
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carto::common::FromUniversal(timestamp);
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trajectory_builder_->AddOdometerPose(time, pose, covariance);
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trajectory_builder_->AddOdometerPose(time, pose, covariance);
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}
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}
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@ -464,6 +480,7 @@ void Node::Initialize() {
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&thread_pool_, &constant_node_data_);
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&thread_pool_, &constant_node_data_);
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auto options = carto::mapping_2d::CreateLocalTrajectoryBuilderOptions(
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auto options = carto::mapping_2d::CreateLocalTrajectoryBuilderOptions(
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lua_parameter_dictionary.GetDictionary("trajectory_builder").get());
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lua_parameter_dictionary.GetDictionary("trajectory_builder").get());
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submaps_options_ = options.submaps_options();
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expect_imu_data = options.expect_imu_data();
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expect_imu_data = options.expect_imu_data();
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trajectory_builder_ =
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trajectory_builder_ =
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carto::common::make_unique<carto::mapping_2d::GlobalTrajectoryBuilder>(
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carto::common::make_unique<carto::mapping_2d::GlobalTrajectoryBuilder>(
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@ -485,15 +502,17 @@ void Node::Initialize() {
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})));
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})));
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expected_sensor_identifiers.insert(topic);
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expected_sensor_identifiers.insert(topic);
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}
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}
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auto sparse_pose_graph_3d = carto::common::make_unique<
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auto sparse_pose_graph_3d =
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carto::mapping_3d::SparsePoseGraph>(
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carto::common::make_unique<carto::mapping_3d::SparsePoseGraph>(
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carto::mapping::CreateSparsePoseGraphOptions(
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carto::mapping::CreateSparsePoseGraphOptions(
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lua_parameter_dictionary.GetDictionary("sparse_pose_graph").get()),
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lua_parameter_dictionary.GetDictionary("sparse_pose_graph")
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.get()),
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&thread_pool_, &constant_node_data_);
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&thread_pool_, &constant_node_data_);
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trajectory_builder_ = carto::common::make_unique<
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trajectory_builder_ =
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carto::mapping_3d::GlobalTrajectoryBuilder>(
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carto::common::make_unique<carto::mapping_3d::GlobalTrajectoryBuilder>(
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carto::mapping_3d::CreateLocalTrajectoryBuilderOptions(
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carto::mapping_3d::CreateLocalTrajectoryBuilderOptions(
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lua_parameter_dictionary.GetDictionary("trajectory_builder").get()),
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lua_parameter_dictionary.GetDictionary("trajectory_builder")
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.get()),
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sparse_pose_graph_3d.get());
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sparse_pose_graph_3d.get());
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sparse_pose_graph_ = std::move(sparse_pose_graph_3d);
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sparse_pose_graph_ = std::move(sparse_pose_graph_3d);
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}
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}
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@ -524,6 +543,16 @@ void Node::Initialize() {
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kSubmapListTopic, 10);
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kSubmapListTopic, 10);
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submap_query_server_ = node_handle_.advertiseService(
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submap_query_server_ = node_handle_.advertiseService(
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kSubmapQueryServiceName, &Node::HandleSubmapQuery, this);
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kSubmapQueryServiceName, &Node::HandleSubmapQuery, this);
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if (lua_parameter_dictionary.GetBool("publish_occupancy_grid")) {
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CHECK_EQ(num_lasers_3d, 0)
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<< "Publishing OccupancyGrids for 3D data is not yet supported";
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occupancy_grid_publisher_ =
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node_handle_.advertise<::nav_msgs::OccupancyGrid>(kOccupancyGridTopic,
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1, true);
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occupancy_grid_thread_ =
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std::thread(&Node::SpinOccupancyGridThreadForever, this);
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}
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}
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}
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bool Node::HandleSubmapQuery(
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bool Node::HandleSubmapQuery(
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@ -601,6 +630,7 @@ void Node::PublishSubmapList(const int64 timestamp) {
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void Node::PublishPose(const int64 timestamp) {
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void Node::PublishPose(const int64 timestamp) {
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const carto::common::Time time = carto::common::FromUniversal(timestamp);
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const carto::common::Time time = carto::common::FromUniversal(timestamp);
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carto::common::MutexLocker lock(&mutex_);
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const Rigid3d tracking_to_local = trajectory_builder_->pose_estimate().pose;
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const Rigid3d tracking_to_local = trajectory_builder_->pose_estimate().pose;
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const carto::mapping::Submaps* submaps = trajectory_builder_->submaps();
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const carto::mapping::Submaps* submaps = trajectory_builder_->submaps();
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const Rigid3d local_to_map =
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const Rigid3d local_to_map =
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@ -613,7 +643,6 @@ void Node::PublishPose(const int64 timestamp) {
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stamped_transform.child_frame_id = odom_frame_;
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stamped_transform.child_frame_id = odom_frame_;
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if (provide_odom_frame_) {
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if (provide_odom_frame_) {
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carto::common::MutexLocker lock(&mutex_);
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stamped_transform.transform = ToGeometryMsgTransform(local_to_map);
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stamped_transform.transform = ToGeometryMsgTransform(local_to_map);
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tf_broadcaster_.sendTransform(stamped_transform);
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tf_broadcaster_.sendTransform(stamped_transform);
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@ -636,6 +665,82 @@ void Node::PublishPose(const int64 timestamp) {
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last_pose_publish_timestamp_ = timestamp;
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last_pose_publish_timestamp_ = timestamp;
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}
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}
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void Node::SpinOccupancyGridThreadForever() {
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for (;;) {
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{
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carto::common::MutexLocker lock(&mutex_);
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if (terminating_) {
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return;
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}
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}
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const auto trajectory_nodes = sparse_pose_graph_->GetTrajectoryNodes();
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if (trajectory_nodes.empty()) {
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std::this_thread::sleep_for(carto::common::FromMilliseconds(1000));
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continue;
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}
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const carto::mapping_2d::MapLimits map_limits =
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carto::mapping_2d::MapLimits::ComputeMapLimits(
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submaps_options_.resolution(), trajectory_nodes);
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carto::mapping_2d::ProbabilityGrid probability_grid(map_limits);
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carto::mapping_2d::LaserFanInserter laser_fan_inserter(
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submaps_options_.laser_fan_inserter_options());
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for (const auto& node : trajectory_nodes) {
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CHECK(node.constant_data->laser_fan_3d.returns.empty()); // No 3D yet.
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laser_fan_inserter.Insert(
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carto::sensor::TransformLaserFan(
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node.constant_data->laser_fan,
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carto::transform::Project2D(node.pose).cast<float>()),
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&probability_grid);
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}
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::nav_msgs::OccupancyGrid occupancy_grid;
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occupancy_grid.header.stamp = ToRos(trajectory_nodes.back().time());
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occupancy_grid.header.frame_id = map_frame_;
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occupancy_grid.info.map_load_time = occupancy_grid.header.stamp;
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Eigen::Array2i offset;
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carto::mapping_2d::CellLimits cell_limits;
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probability_grid.ComputeCroppedLimits(&offset, &cell_limits);
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const double resolution = probability_grid.limits().resolution();
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occupancy_grid.info.resolution = resolution;
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occupancy_grid.info.width = cell_limits.num_y_cells;
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occupancy_grid.info.height = cell_limits.num_x_cells;
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occupancy_grid.info.origin.position.x =
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probability_grid.limits().max().x() -
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(offset.y() + cell_limits.num_y_cells) * resolution;
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occupancy_grid.info.origin.position.y =
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probability_grid.limits().max().y() -
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(offset.x() + cell_limits.num_x_cells) * resolution;
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occupancy_grid.info.origin.position.z = 0.;
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occupancy_grid.info.origin.orientation.w = 1.;
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occupancy_grid.info.origin.orientation.x = 0.;
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occupancy_grid.info.origin.orientation.y = 0.;
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occupancy_grid.info.origin.orientation.z = 0.;
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occupancy_grid.data.resize(
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cell_limits.num_x_cells * cell_limits.num_y_cells, -1);
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for (const Eigen::Array2i& xy_index :
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carto::mapping_2d::XYIndexRangeIterator(cell_limits)) {
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if (probability_grid.IsKnown(xy_index + offset)) {
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const int value = carto::common::RoundToInt(
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(probability_grid.GetProbability(xy_index + offset) -
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carto::mapping::kMinProbability) *
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100. / (carto::mapping::kMaxProbability -
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carto::mapping::kMinProbability));
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CHECK_LE(0, value);
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CHECK_GE(100, value);
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occupancy_grid.data[(cell_limits.num_x_cells - xy_index.x()) *
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cell_limits.num_y_cells -
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xy_index.y() - 1] = value;
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}
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}
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occupancy_grid_publisher_.publish(occupancy_grid);
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}
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}
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void Node::HandleSensorData(const int64 timestamp,
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void Node::HandleSensorData(const int64 timestamp,
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std::unique_ptr<SensorData> sensor_data) {
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std::unique_ptr<SensorData> sensor_data) {
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if (last_submap_list_publish_timestamp_ + kSubmapPublishPeriodInUts <
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if (last_submap_list_publish_timestamp_ + kSubmapPublishPeriodInUts <
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|