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msg/vehicle_odometry.msg: simplify covariance handling and update all usage (#19966)
- replace float32[21] URT covariances with smaller dedicated position/velocity/orientation variances (the crossterms are unused, awkward, and relatively costly) - these are easier to casually inspect and more representative of what's actually being used currently and reduces the size of vehicle_odometry_s quite a bit - ekf2: add new helper to get roll/pitch/yaw covariances - mavlink: receiver ODOMETRY handle more frame types for both pose (MAV_FRAME_LOCAL_NED, MAV_FRAME_LOCAL_ENU, MAV_FRAME_LOCAL_FRD, MAV_FRAME_LOCAL_FLU) and velocity (MAV_FRAME_LOCAL_NED, MAV_FRAME_LOCAL_ENU, MAV_FRAME_LOCAL_FRD, MAV_FRAME_LOCAL_FLU, MAV_FRAME_BODY_FRD) - mavlink: delete unused ATT_POS_MOCAP stream (this is just a passthrough) Co-authored-by: Mathieu Bresciani <brescianimathieu@gmail.com>
This commit is contained in:
co-authored by
Mathieu Bresciani
parent
61f390b0dd
commit
dfdfbbfa9c
@@ -1,86 +0,0 @@
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/****************************************************************************
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*
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* Copyright (c) 2021 PX4 Development Team. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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*
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* 1. Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* 2. Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in
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* the documentation and/or other materials provided with the
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* distribution.
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* 3. Neither the name PX4 nor the names of its contributors may be
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* used to endorse or promote products derived from this software
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* without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
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* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
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* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
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* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS
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* OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED
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* AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
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* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
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* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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* POSSIBILITY OF SUCH DAMAGE.
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*
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****************************************************************************/
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#ifndef ATT_POS_MOCAP_HPP
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#define ATT_POS_MOCAP_HPP
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#include <uORB/topics/vehicle_odometry.h>
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class MavlinkStreamAttPosMocap : public MavlinkStream
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{
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public:
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static MavlinkStream *new_instance(Mavlink *mavlink) { return new MavlinkStreamAttPosMocap(mavlink); }
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static constexpr const char *get_name_static() { return "ATT_POS_MOCAP"; }
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static constexpr uint16_t get_id_static() { return MAVLINK_MSG_ID_ATT_POS_MOCAP; }
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const char *get_name() const override { return get_name_static(); }
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uint16_t get_id() override { return get_id_static(); }
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unsigned get_size() override
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{
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return _mocap_sub.advertised() ? MAVLINK_MSG_ID_ATT_POS_MOCAP_LEN + MAVLINK_NUM_NON_PAYLOAD_BYTES : 0;
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}
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private:
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explicit MavlinkStreamAttPosMocap(Mavlink *mavlink) : MavlinkStream(mavlink) {}
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uORB::Subscription _mocap_sub{ORB_ID(vehicle_mocap_odometry)};
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bool send() override
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{
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vehicle_odometry_s mocap;
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if (_mocap_sub.update(&mocap)) {
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mavlink_att_pos_mocap_t msg{};
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msg.time_usec = mocap.timestamp_sample;
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msg.q[0] = mocap.q[0];
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msg.q[1] = mocap.q[1];
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msg.q[2] = mocap.q[2];
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msg.q[3] = mocap.q[3];
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msg.x = mocap.x;
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msg.y = mocap.y;
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msg.z = mocap.z;
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// msg.covariance =
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mavlink_msg_att_pos_mocap_send_struct(_mavlink->get_channel(), &msg);
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return true;
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}
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return false;
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}
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};
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#endif // ATT_POS_MOCAP_HPP
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@@ -74,93 +74,95 @@ private:
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if (_mavlink->odometry_loopback_enabled()) {
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odom_updated = _vodom_sub.update(&odom);
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// set the frame_id according to the local frame of the data
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if (odom.local_frame == vehicle_odometry_s::LOCAL_FRAME_NED) {
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msg.frame_id = MAV_FRAME_LOCAL_NED;
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} else {
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msg.frame_id = MAV_FRAME_LOCAL_FRD;
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}
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// source: external vision system
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msg.estimator_type = MAV_ESTIMATOR_TYPE_VISION;
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} else {
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odom_updated = _odom_sub.update(&odom);
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msg.frame_id = MAV_FRAME_LOCAL_NED;
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// source: PX4 estimator
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msg.estimator_type = MAV_ESTIMATOR_TYPE_AUTOPILOT;
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}
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if (odom_updated) {
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msg.time_usec = odom.timestamp_sample;
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msg.child_frame_id = MAV_FRAME_BODY_FRD;
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// Current position
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msg.x = odom.x;
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msg.y = odom.y;
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msg.z = odom.z;
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// set the frame_id according to the local frame of the data
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switch (odom.pose_frame) {
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case vehicle_odometry_s::POSE_FRAME_NED:
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msg.frame_id = MAV_FRAME_LOCAL_NED;
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break;
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case vehicle_odometry_s::POSE_FRAME_FRD:
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msg.frame_id = MAV_FRAME_LOCAL_FRD;
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break;
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}
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switch (odom.velocity_frame) {
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case vehicle_odometry_s::VELOCITY_FRAME_NED:
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msg.child_frame_id = MAV_FRAME_LOCAL_NED;
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break;
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case vehicle_odometry_s::VELOCITY_FRAME_FRD:
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msg.child_frame_id = MAV_FRAME_LOCAL_FRD;
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break;
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case vehicle_odometry_s::VELOCITY_FRAME_BODY_FRD:
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msg.child_frame_id = MAV_FRAME_BODY_FRD;
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break;
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}
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msg.x = odom.position[0];
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msg.y = odom.position[1];
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msg.z = odom.position[2];
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// Current orientation
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msg.q[0] = odom.q[0];
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msg.q[1] = odom.q[1];
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msg.q[2] = odom.q[2];
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msg.q[3] = odom.q[3];
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switch (odom.velocity_frame) {
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case vehicle_odometry_s::BODY_FRAME_FRD:
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msg.vx = odom.vx;
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msg.vy = odom.vy;
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msg.vz = odom.vz;
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break;
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case vehicle_odometry_s::LOCAL_FRAME_FRD:
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case vehicle_odometry_s::LOCAL_FRAME_NED:
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// Body frame to local frame
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const matrix::Dcmf R_body_to_local(matrix::Quatf(odom.q));
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// Rotate linear velocity from local to body frame
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const matrix::Vector3f linvel_body(R_body_to_local.transpose() *
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matrix::Vector3f(odom.vx, odom.vy, odom.vz));
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msg.vx = linvel_body(0);
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msg.vy = linvel_body(1);
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msg.vz = linvel_body(2);
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break;
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}
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msg.vx = odom.velocity[0];
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msg.vy = odom.velocity[1];
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msg.vz = odom.velocity[2];
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// Current body rates
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msg.rollspeed = odom.rollspeed;
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msg.pitchspeed = odom.pitchspeed;
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msg.yawspeed = odom.yawspeed;
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// get the covariance matrix size
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msg.rollspeed = odom.angular_velocity[0];
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msg.pitchspeed = odom.angular_velocity[1];
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msg.yawspeed = odom.angular_velocity[2];
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// pose_covariance
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static constexpr size_t POS_URT_SIZE = sizeof(odom.pose_covariance) / sizeof(odom.pose_covariance[0]);
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static_assert(POS_URT_SIZE == (sizeof(msg.pose_covariance) / sizeof(msg.pose_covariance[0])),
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"Odometry Pose Covariance matrix URT array size mismatch");
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// Row-major representation of a 6x6 pose cross-covariance matrix upper right triangle
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// (states: x, y, z, roll, pitch, yaw; first six entries are the first ROW, next five entries are the second ROW, etc.)
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for (auto &pc : msg.pose_covariance) {
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pc = NAN;
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}
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msg.pose_covariance[0] = odom.position_variance[0]; // X row 0, col 0
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msg.pose_covariance[6] = odom.position_variance[1]; // Y row 1, col 1
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msg.pose_covariance[11] = odom.position_variance[2]; // Z row 2, col 2
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msg.pose_covariance[15] = odom.orientation_variance[0]; // R row 3, col 3
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msg.pose_covariance[18] = odom.orientation_variance[1]; // P row 4, col 4
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msg.pose_covariance[20] = odom.orientation_variance[2]; // Y row 5, col 5
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// velocity_covariance
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static constexpr size_t VEL_URT_SIZE = sizeof(odom.velocity_covariance) / sizeof(odom.velocity_covariance[0]);
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static_assert(VEL_URT_SIZE == (sizeof(msg.velocity_covariance) / sizeof(msg.velocity_covariance[0])),
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"Odometry Velocity Covariance matrix URT array size mismatch");
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// copy pose covariances
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for (size_t i = 0; i < POS_URT_SIZE; i++) {
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msg.pose_covariance[i] = odom.pose_covariance[i];
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// Row-major representation of a 6x6 velocity cross-covariance matrix upper right triangle
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// (states: vx, vy, vz, rollspeed, pitchspeed, yawspeed; first six entries are the first ROW, next five entries are the second ROW, etc.)
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for (auto &vc : msg.velocity_covariance) {
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vc = NAN;
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}
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// copy velocity covariances
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//TODO: Apply rotation matrix to transform from body-fixed NED to earth-fixed NED frame
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for (size_t i = 0; i < VEL_URT_SIZE; i++) {
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msg.velocity_covariance[i] = odom.velocity_covariance[i];
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}
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msg.velocity_covariance[0] = odom.velocity_variance[0]; // X row 0, col 0
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msg.velocity_covariance[6] = odom.velocity_variance[1]; // Y row 1, col 1
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msg.velocity_covariance[11] = odom.velocity_variance[2]; // Z row 2, col 2
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msg.reset_counter = odom.reset_counter;
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// source: PX4 estimator
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msg.estimator_type = MAV_ESTIMATOR_TYPE_AUTOPILOT;
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msg.quality = odom.quality;
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mavlink_msg_odometry_send_struct(_mavlink->get_channel(), &msg);
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return true;
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