added anchor information generation
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		@@ -187,8 +187,6 @@ bool MsckfVio::createRosIO() {
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  imu_sub = nh.subscribe("imu", 100,
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      &MsckfVio::imuCallback, this);
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  //feature_sub = nh.subscribe("features", 40,
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  //    &MsckfVio::featureCallback, this);
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  cam0_img_sub.subscribe(nh, "cam0_image", 10);
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  cam1_img_sub.subscribe(nh, "cam1_image", 10);
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@@ -236,7 +234,8 @@ bool MsckfVio::initialize() {
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}
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void MsckfVio::imuCallback(
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    const sensor_msgs::ImuConstPtr& msg) {
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    const sensor_msgs::ImuConstPtr& msg)
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{
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  // IMU msgs are pushed backed into a buffer instead of
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  // being processed immediately. The IMU msgs are processed
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@@ -254,7 +253,7 @@ void MsckfVio::imuCallback(
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  return;
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}
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void MsckfVio::imageCallback (
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void MsckfVio::imageCallback(
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    const sensor_msgs::ImageConstPtr& cam0_img,
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    const sensor_msgs::ImageConstPtr& cam1_img,
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    const CameraMeasurementConstPtr& feature_msg)
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@@ -358,9 +357,8 @@ void MsckfVio::manageMovingWindow(
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  cam0_moving_window[state_server.imu_state.id] = cam0_image_ptr->image.clone();
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  cam1_moving_window[state_server.imu_state.id] = cam1_image_ptr->image.clone();
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  std::cout << cam0_moving_window.begin()->second << std::endl;
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  //TODO handle massive overflow correctly (should be pruned, before this ever triggers)
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  //TODO handle any massive overflow correctly (should be pruned, before this ever triggers)
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  while(cam0_moving_window.size() > 100)
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  {
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    cam1_moving_window.erase(cam1_moving_window.begin());
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@@ -480,88 +478,6 @@ bool MsckfVio::resetCallback(
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  return true;
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}
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void MsckfVio::featureCallback(
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    const CameraMeasurementConstPtr& msg) {
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  // Return if the gravity vector has not been set.
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  if (!is_gravity_set) return;
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  // Start the system if the first image is received.
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  // The frame where the first image is received will be
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  // the origin.
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  if (is_first_img) {
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    is_first_img = false;
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    state_server.imu_state.time = msg->header.stamp.toSec();
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  }
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  static double max_processing_time = 0.0;
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  static int critical_time_cntr = 0;
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  double processing_start_time = ros::Time::now().toSec();
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  // Propogate the IMU state.
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  // that are received before the image msg.
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  ros::Time start_time = ros::Time::now();
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  batchImuProcessing(msg->header.stamp.toSec());
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  double imu_processing_time = (
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      ros::Time::now()-start_time).toSec();
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  // Augment the state vector.
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  start_time = ros::Time::now();
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  stateAugmentation(msg->header.stamp.toSec());
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  double state_augmentation_time = (
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      ros::Time::now()-start_time).toSec();
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  // Add new observations for existing features or new
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  // features in the map server.
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  start_time = ros::Time::now();
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  addFeatureObservations(msg);
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  double add_observations_time = (
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      ros::Time::now()-start_time).toSec();
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  // Perform measurement update if necessary.
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  start_time = ros::Time::now();
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  removeLostFeatures();
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  double remove_lost_features_time = (
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      ros::Time::now()-start_time).toSec();
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  start_time = ros::Time::now();
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  pruneCamStateBuffer();
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  double prune_cam_states_time = (
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      ros::Time::now()-start_time).toSec();
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  // Publish the odometry.
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  start_time = ros::Time::now();
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  publish(msg->header.stamp);
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  double publish_time = (
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      ros::Time::now()-start_time).toSec();
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  // Reset the system if necessary.
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  onlineReset();
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  double processing_end_time = ros::Time::now().toSec();
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  double processing_time =
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    processing_end_time - processing_start_time;
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  if (processing_time > 1.0/frame_rate) {
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    ++critical_time_cntr;
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    ROS_INFO("\033[1;31mTotal processing time %f/%d...\033[0m",
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        processing_time, critical_time_cntr);
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    //printf("IMU processing time: %f/%f\n",
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    //    imu_processing_time, imu_processing_time/processing_time);
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    //printf("State augmentation time: %f/%f\n",
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    //    state_augmentation_time, state_augmentation_time/processing_time);
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    //printf("Add observations time: %f/%f\n",
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    //    add_observations_time, add_observations_time/processing_time);
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    printf("Remove lost features time: %f/%f\n",
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        remove_lost_features_time, remove_lost_features_time/processing_time);
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    printf("Remove camera states time: %f/%f\n",
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        prune_cam_states_time, prune_cam_states_time/processing_time);
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    //printf("Publish time: %f/%f\n",
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    //    publish_time, publish_time/processing_time);
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  }
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  return;
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}
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void MsckfVio::mocapOdomCallback(
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    const nav_msgs::OdometryConstPtr& msg) {
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  static bool first_mocap_odom_msg = true;
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@@ -1198,6 +1114,12 @@ void MsckfVio::removeLostFeatures() {
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      }
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    }
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    if(!feature.initializeAnchor(cam0_moving_window))
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    {
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      invalid_feature_ids.push_back(feature.id);
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      continue;
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    }
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    jacobian_row_size += 4*feature.observations.size() - 3;
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    processed_feature_ids.push_back(feature.id);
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  }
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