- Member Camera::Callback (const CameraMessage &camera_message)
- Undistort points post track?
- Member Camera::Camera (Camera::Parameters cam_params)
- add detector/extractor parameters to input
- Member Camera::GenerateFrameID ()
- apply similar function to sensor/tracker IDs
- Class EKF
Implement check for correlation coefficients to be between +/- 1
Add gravity initialization/check
Create generic function to update(r,H,R)
- Member EKF::GetAugState (unsigned int camera_id, unsigned int frame_id, double time)
- : Use higher order interpolation between states?
- Member EKF::PredictModel (double local_time)
- : Use RK4 or other higher-order prediction step
- Class EkfCalNode
Option to publish health metrics
Option to publish visualization messages
Create generic callback that can be used to store and sort measurements
TF2 Publishing Flag
Option to publish health metrics
Option to publish visualization messages
debug issue with future extrapolation in RVIZ
- Member EkfCalNode::PublishState ()
- Copy states before converting to vectors due to race conditions.
- Member FeatureTrack::true_feature_position
- : Remove true feature position once MSCKF complete
- Member FeatureTracker::FeatureTracker (FeatureTracker::Parameters params)
- add detector/extractor parameters to input
- Member FeatureTracker::GridFeatures (std::vector< cv::KeyPoint > &key_points, int rows, int cols)
Implement non-maximal suppression instead
replace this with some kind of boolean array. Eigen?
Do keypoint vector editing in place
- Member FeatureTracker::RANSAC (std::vector< cv::DMatch > &matches_in, std::vector< cv::KeyPoint > &curr_key_points, std::vector< cv::DMatch > &matches_out) const
- : Undistort?
- Member FeatureTracker::Track (double time, unsigned int frame_id, const cv::Mat &img_in, cv::Mat &img_out)
create occupancy grid of key_points using minimal pixel distance
: Get down-sample parameters from input
Mask using maximum distance from predicted IMU rotations
- Member FiducialUpdater::GetMeasurementJacobian (EKF &ekf)
- Test camera calibration jacobians
- Member FiducialUpdater::UpdateEKF (EKF &ekf, const double time, const BoardDetection &board_detection)
- Chi^2 distance check
- Class GPS
- Bias Stability and Noise process inputs for GPSs
- Member ImuUpdater::ZeroAccelerationUpdate (EKF &ekf, double local_time, const Eigen::Vector3d &acceleration, const Eigen::Matrix3d &acceleration_covariance, const Eigen::Vector3d &angular_rate, const Eigen::Matrix3d &angular_rate_covariance)
- Test stationary rotation
- Member Intrinsics::f_x
- Develop better defaults
- Member MsckfUpdater::TriangulateFeature (const double local_time, EKF &ekf, const FeatureTrack &feature_track, Eigen::Vector3d &pos_f_in_l)
: Add input flag
: Need to continue debugging the triangulated features
- Member MsckfUpdater::UpdateEKF (EKF &ekf, const double time, const FeatureTracks &feature_tracks, double px_error)
: Add threshold for total distance/angle before triangulating
Chi^2 distance check
- Class Sensor
- Function for checking callback rate
- Member Updater::KalmanUpdate (EKF &ekf, const Eigen::MatrixXd &jacobian, const Eigen::VectorXd &residual, const Eigen::MatrixXd &measurement_noise_input)
- switch to passing EKF pointer