302 lines
10 KiB
C++
302 lines
10 KiB
C++
// Copyright 2021, Collabora, Ltd.
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// SPDX-License-Identifier: BSL-1.0
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/*!
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* @file
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* @brief SLAM tracker class header for usage in Monado.
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* @author Mateo de Mayo <mateo.demayo@collabora.com>
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* @ingroup aux_tracking
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*
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* This file contains the declaration of the @ref slam_tracker class. This
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* header is intended to appear in both Monado and an external SLAM system. The
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* implementation of `slam_tracker` is provided by the external system.
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* Additional data types are declared for the communication between Monado and
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* the system.
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*
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*/
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#pragma once
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#include <opencv2/core/mat.hpp>
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#include <cstdint>
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#include <memory>
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#include <string>
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#include <vector>
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namespace xrt::auxiliary::tracking::slam {
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// For implementation: same as IMPLEMENTATION_VERSION_*
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// For user: expected IMPLEMENTATION_VERSION_*. Should be checked in runtime.
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constexpr int HEADER_VERSION_MAJOR = 3; //!< API Breakages
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constexpr int HEADER_VERSION_MINOR = 0; //!< Backwards compatible API changes
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constexpr int HEADER_VERSION_PATCH = 0; //!< Backw. comp. .h-implemented changes
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// Which header version the external system is implementing.
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extern const int IMPLEMENTATION_VERSION_MAJOR;
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extern const int IMPLEMENTATION_VERSION_MINOR;
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extern const int IMPLEMENTATION_VERSION_PATCH;
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enum class pose_ext_type : int;
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/*!
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* @brief Standard pose type to communicate Monado with the external SLAM system
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*/
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struct pose {
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std::int64_t timestamp; //!< In same clock as input samples
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float px, py, pz; //!< Position vector
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float rx, ry, rz, rw = 1; //!< Orientation quaternion
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std::shared_ptr<struct pose_extension> next = nullptr;
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pose() = default;
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pose(std::int64_t timestamp, //
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float px, float py, float pz, //
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float rx, float ry, float rz, float rw)
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: timestamp(timestamp), //
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px(px), py(py), pz(pz), //
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rx(rx), ry(ry), rz(rz), rw(rw) {}
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std::shared_ptr<pose_extension>
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find_pose_extension(pose_ext_type required_type) const;
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};
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/*!
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* @brief IMU Sample type to pass around between programs
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*/
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struct imu_sample {
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std::int64_t timestamp; //!< In nanoseconds
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double ax, ay, az; //!< Accel in meters per second squared (m / s^2)
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double wx, wy, wz; //!< Gyro in radians per second (rad / s)
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imu_sample() = default;
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imu_sample(std::int64_t timestamp, double ax, double ay, double az, double wx,
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double wy, double wz)
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: timestamp(timestamp), ax(ax), ay(ay), az(az), wx(wx), wy(wy), wz(wz) {}
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};
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/*!
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* @brief Image sample type to pass around between programs. It is expected that
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* any SLAM system takes OpenCV matrices as input.
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*/
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struct img_sample {
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std::int64_t timestamp;
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cv::Mat img;
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bool is_left;
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img_sample() = default;
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img_sample(std::int64_t timestamp, const cv::Mat &img, bool is_left)
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: timestamp(timestamp), img(img), is_left(is_left) {}
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};
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/*!
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* @brief slam_tracker serves as an interface between Monado and external SLAM
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* systems.
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*
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* This class uses the pointer-to-implementation pattern, and its implementation
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* should be provided by an external SLAM system.
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*/
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struct slam_tracker {
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/*!
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* @brief Construct a new slam tracker object
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*
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* @param config_file SLAM systems parameters tend to be numerous and very
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* specific, so they usually use a configuration file as the main way to set
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* them up. Therefore, this constructor receives a path to a
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* implementation-specific configuration file.
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*/
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slam_tracker(const std::string &config_file);
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~slam_tracker();
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slam_tracker(const slam_tracker &) = delete;
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slam_tracker &operator=(const slam_tracker &) = delete;
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void initialize();
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void start();
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bool is_running();
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void stop();
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void finalize();
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/*!
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* @brief Push an IMU sample into the tracker.
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*
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* There must be a single producer thread pushing samples.
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* Samples must have monotonically increasing timestamps.
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* The implementation must be non-blocking.
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* Thus, a separate consumer thread should process the samples.
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*/
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void push_imu_sample(const imu_sample &sample);
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/*!
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* @brief Push an image sample into the tracker.
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*
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* Same conditions as @ref push_imu_sample apply.
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* When using stereo frames, they must be pushed in a left-right order.
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* The consecutive left-right pair must have the same timestamps.
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*/
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void push_frame(const img_sample &sample);
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/*!
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* @brief Get the latest tracked pose from the SLAM system.
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*
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* There must be a single thread consuming this method.
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*
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* @param[out] out_pose Dequeued pose.
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* @return true If a new pose was dequeued into @p out_pose.
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* @return false If there was no pose to dequeue.
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*/
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bool try_dequeue_pose(pose &out_pose);
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//! Asks the SLAM system whether it supports a specific feature.
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bool supports_feature(int feature_id);
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/*!
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* @brief Use a special feature of the SLAM tracker.
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*
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* This method uses heap allocated objects for passing parameters and
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* obtaining the results. Use `std::static_pointer_cast` to shared pointers to
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* the expected types.
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*
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* @param feature_id Id of the special feature.
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* @param params Pointer to the parameter object for this feature.
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* @param result Pointer to the result produced by the feature call.
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* @return false if the feature was not supported, true otherwise.
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*/
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bool use_feature(int feature_id, const std::shared_ptr<void> ¶ms,
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std::shared_ptr<void> &result);
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private:
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struct implementation;
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std::unique_ptr<implementation> impl;
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};
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/*
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* Special features
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*
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* A special feature is comprised of an ID, a PARAMS type and a RESULT type. It
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* can be defined using DEFINE_FEATURE. Once defined, the definition should not
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* suffer future changes.
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*
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* One of the main concerns in the features interface is the ability to add new
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* features without being required to update the SLAM systems that are not
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* interested in implementing the feature.
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*
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*/
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#define DEFINE_FEATURE(NAME, SHORT_NAME, ID, PARAMS_TYPE, RESULT_TYPE) \
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using FPARAMS_##SHORT_NAME = PARAMS_TYPE; \
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using FRESULT_##SHORT_NAME = RESULT_TYPE; \
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constexpr int FID_##SHORT_NAME = ID; \
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constexpr int F_##NAME = ID;
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/*!
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* Container of parameters for a pinhole camera calibration (fx, fy, cx, cy)
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* with an optional distortion.
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*
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*`distortion_model` and its corresponding `distortion` parameters are not
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* standardized in this struct to facilitate implementation prototyping.
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*/
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struct cam_calibration {
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int cam_index; //!< For multi-camera setups. For stereo 0 ~ left, 1 ~ right.
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int width, height; //<! Resolution
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double frequency; //<! Frames per second
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double fx, fy; //<! Focal point
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double cx, cy; //<! Principal point
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std::string distortion_model; //!< Models like: none, rt4, rt5, rt8, kb4
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std::vector<double> distortion; //!< Parameters for the distortion_model
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cv::Matx<double, 4, 4> t_imu_cam; //!< Transformation from IMU to camera
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};
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struct inertial_calibration {
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// Calibration intrinsics to apply to each raw measurement.
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//! This transform will be applied to raw measurements.
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cv::Matx<double, 3, 3> transform;
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//! Offset to add to raw measurements to; called bias in other contexts.
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cv::Matx<double, 3, 1> offset;
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// Parameters for the random processes that model this IMU. See section "2.1
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// Gyro Noise Model" of N. Trawny and S. I. Roumeliotis, "Indirect Kalman
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// Filter for 3D Attitude Estimation". Analogous for accelerometers.
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// http://mars.cs.umn.edu/tr/reports/Trawny05b.pdf#page=15
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//! IMU internal bias ~ wiener process with steps N(0, σ²); this field is σ;
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//! [σ] = U / sqrt(sec³) with U = rad if gyroscope, U = m/s if accelerometer.
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cv::Matx<double, 3, 1> bias_std;
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//! IMU measurement noise ~ N(0, σ²); this field is σ.
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//! [σ] = U / sqrt(sec) with U = rad if gyroscope, U = m/s if accelerometer.
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cv::Matx<double, 3, 1> noise_std;
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inertial_calibration() : transform(cv::Matx<double, 3, 3>::eye()) {}
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};
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struct imu_calibration {
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int imu_index; //!< For multi-imu setups. Usually just 0.
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double frequency; //!< Samples per second
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inertial_calibration accel;
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inertial_calibration gyro;
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};
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/*!
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* Feature ADD_CAMERA_CALIBRATION
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*
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* Use it after constructor but before `start()` to write or overwrite camera
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* calibration data that might come from the system-specific config file.
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*/
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DEFINE_FEATURE(ADD_CAMERA_CALIBRATION, ACC, 1, cam_calibration, void)
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/*!
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* Feature ADD_IMU_CALIBRATION
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*
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* Use it after constructor but before `start()` to write or overwrite IMU
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* calibration data that might come from the system-specific config file.
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*/
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DEFINE_FEATURE(ADD_IMU_CALIBRATION, AIC, 2, imu_calibration, void)
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/*!
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* Feature ENABLE_POSE_EXT_TIMING
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*
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* Use it after constructor but before `start()`.
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* Returns a vector with names for the timestamps in `pose_ext_timing`.
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*/
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DEFINE_FEATURE(ENABLE_POSE_EXT_TIMING, EPET, 3, void, std::vector<std::string>)
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/*
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* Pose extensions
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*
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* A pose extension is a struct that gets linked in the `pose.next` field. You
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* first ask if the implementation supports enabling such extension with a
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* `supports_feature()` call with the appropriate `ENABLE_POSE_EXT_*`. Then, it
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* can be enabled with the corresponding `use_feature()` call.
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*
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*/
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enum class pose_ext_type : int {
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UNDEFINED = 0,
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TIMING = 1,
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};
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struct pose_extension {
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pose_ext_type type = pose_ext_type::UNDEFINED;
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std::shared_ptr<pose_extension> next = nullptr;
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pose_extension(pose_ext_type type) : type(type) {}
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};
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inline std::shared_ptr<pose_extension>
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pose::find_pose_extension(pose_ext_type required_type) const {
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std::shared_ptr<pose_extension> pe = next;
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while (pe != nullptr && pe->type != required_type) {
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pe = pe->next;
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}
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return pe;
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}
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struct pose_ext_timing : pose_extension {
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//! Internal pipeline timestamps of interest when generating the pose. In
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//! steady clock ns. Must have the same number of elements in the same run.
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std::vector<std::int64_t> timestamps{};
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pose_ext_timing() : pose_extension{pose_ext_type::TIMING} {}
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};
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} // namespace xrt::auxiliary::tracking::slam
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