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[wpimath] Discard stale pose estimates (#5045)
Co-authored-by: Tyler Veness <calcmogul@gmail.com>
This commit is contained in:
@@ -40,8 +40,10 @@ public class DifferentialDrivePoseEstimator {
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private final Matrix<N3, N1> m_q = new Matrix<>(Nat.N3(), Nat.N1());
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private Matrix<N3, N3> m_visionK = new Matrix<>(Nat.N3(), Nat.N3());
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private static final double kBufferDuration = 1.5;
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private final TimeInterpolatableBuffer<InterpolationRecord> m_poseBuffer =
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TimeInterpolatableBuffer.createBuffer(1.5);
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TimeInterpolatableBuffer.createBuffer(kBufferDuration);
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/**
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* Constructs a DifferentialDrivePoseEstimator with default standard deviations for the model and
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@@ -187,6 +189,11 @@ public class DifferentialDrivePoseEstimator {
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* or sync the epochs.
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*/
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public void addVisionMeasurement(Pose2d visionRobotPoseMeters, double timestampSeconds) {
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// Step 0: If this measurement is old enough to be outside the pose buffer's timespan, skip.
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if (m_poseBuffer.getInternalBuffer().lastKey() - kBufferDuration > timestampSeconds) {
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return;
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}
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// Step 1: Get the pose odometry measured at the moment the vision measurement was made.
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var sample = m_poseBuffer.getSample(timestampSeconds);
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@@ -39,8 +39,10 @@ public class MecanumDrivePoseEstimator {
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private final Matrix<N3, N1> m_q = new Matrix<>(Nat.N3(), Nat.N1());
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private Matrix<N3, N3> m_visionK = new Matrix<>(Nat.N3(), Nat.N3());
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private static final double kBufferDuration = 1.5;
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private final TimeInterpolatableBuffer<InterpolationRecord> m_poseBuffer =
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TimeInterpolatableBuffer.createBuffer(1.5);
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TimeInterpolatableBuffer.createBuffer(kBufferDuration);
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/**
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* Constructs a MecanumDrivePoseEstimator with default standard deviations for the model and
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@@ -175,6 +177,11 @@ public class MecanumDrivePoseEstimator {
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* your time source or sync the epochs.
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*/
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public void addVisionMeasurement(Pose2d visionRobotPoseMeters, double timestampSeconds) {
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// Step 0: If this measurement is old enough to be outside the pose buffer's timespan, skip.
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if (m_poseBuffer.getInternalBuffer().lastKey() - kBufferDuration > timestampSeconds) {
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return;
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}
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// Step 1: Get the pose odometry measured at the moment the vision measurement was made.
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var sample = m_poseBuffer.getSample(timestampSeconds);
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@@ -40,8 +40,10 @@ public class SwerveDrivePoseEstimator {
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private final int m_numModules;
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private Matrix<N3, N3> m_visionK = new Matrix<>(Nat.N3(), Nat.N3());
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private static final double kBufferDuration = 1.5;
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private final TimeInterpolatableBuffer<InterpolationRecord> m_poseBuffer =
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TimeInterpolatableBuffer.createBuffer(1.5);
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TimeInterpolatableBuffer.createBuffer(kBufferDuration);
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/**
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* Constructs a SwerveDrivePoseEstimator with default standard deviations for the model and vision
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@@ -177,6 +179,11 @@ public class SwerveDrivePoseEstimator {
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* or sync the epochs.
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*/
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public void addVisionMeasurement(Pose2d visionRobotPoseMeters, double timestampSeconds) {
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// Step 0: If this measurement is old enough to be outside the pose buffer's timespan, skip.
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if (m_poseBuffer.getInternalBuffer().lastKey() - kBufferDuration > timestampSeconds) {
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return;
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}
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// Step 1: Get the pose odometry measured at the moment the vision measurement was made.
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var sample = m_poseBuffer.getSample(timestampSeconds);
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@@ -94,6 +94,13 @@ Pose2d DifferentialDrivePoseEstimator::GetEstimatedPosition() const {
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void DifferentialDrivePoseEstimator::AddVisionMeasurement(
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const Pose2d& visionRobotPose, units::second_t timestamp) {
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// Step 0: If this measurement is old enough to be outside the pose buffer's
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// timespan, skip.
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if (m_poseBuffer.GetInternalBuffer().front().first - kBufferDuration >
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timestamp) {
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return;
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}
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// Step 1: Get the estimated pose from when the vision measurement was made.
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auto sample = m_poseBuffer.Sample(timestamp);
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@@ -105,6 +105,13 @@ Pose2d frc::MecanumDrivePoseEstimator::GetEstimatedPosition() const {
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void frc::MecanumDrivePoseEstimator::AddVisionMeasurement(
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const Pose2d& visionRobotPose, units::second_t timestamp) {
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// Step 0: If this measurement is old enough to be outside the pose buffer's
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// timespan, skip.
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if (m_poseBuffer.GetInternalBuffer().front().first - kBufferDuration >
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timestamp) {
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return;
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}
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// Step 1: Get the estimated pose from when the vision measurement was made.
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auto sample = m_poseBuffer.Sample(timestamp);
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@@ -240,14 +240,16 @@ class WPILIB_DLLEXPORT DifferentialDrivePoseEstimator {
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double i) const;
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};
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static constexpr units::second_t kBufferDuration = 1.5_s;
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DifferentialDriveKinematics& m_kinematics;
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DifferentialDriveOdometry m_odometry;
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wpi::array<double, 3> m_q{wpi::empty_array};
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Eigen::Matrix3d m_visionK = Eigen::Matrix3d::Zero();
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TimeInterpolatableBuffer<InterpolationRecord> m_poseBuffer{
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1.5_s, [this](const InterpolationRecord& start,
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const InterpolationRecord& end, double t) {
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kBufferDuration, [this](const InterpolationRecord& start,
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const InterpolationRecord& end, double t) {
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return start.Interpolate(this->m_kinematics, end, t);
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}};
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};
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@@ -232,14 +232,16 @@ class WPILIB_DLLEXPORT MecanumDrivePoseEstimator {
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double i) const;
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};
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static constexpr units::second_t kBufferDuration = 1.5_s;
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MecanumDriveKinematics& m_kinematics;
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MecanumDriveOdometry m_odometry;
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wpi::array<double, 3> m_q{wpi::empty_array};
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Eigen::Matrix3d m_visionK = Eigen::Matrix3d::Zero();
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TimeInterpolatableBuffer<InterpolationRecord> m_poseBuffer{
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1.5_s, [this](const InterpolationRecord& start,
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const InterpolationRecord& end, double t) {
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kBufferDuration, [this](const InterpolationRecord& start,
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const InterpolationRecord& end, double t) {
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return start.Interpolate(this->m_kinematics, end, t);
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}};
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};
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@@ -170,6 +170,13 @@ class SwerveDrivePoseEstimator {
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*/
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void AddVisionMeasurement(const Pose2d& visionRobotPose,
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units::second_t timestamp) {
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// Step 0: If this measurement is old enough to be outside the pose buffer's
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// timespan, skip.
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if (m_poseBuffer.GetInternalBuffer().front().first - kBufferDuration >
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timestamp) {
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return;
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}
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// Step 1: Get the estimated pose from when the vision measurement was made.
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auto sample = m_poseBuffer.Sample(timestamp);
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@@ -374,14 +381,16 @@ class SwerveDrivePoseEstimator {
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}
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};
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static constexpr units::second_t kBufferDuration = 1.5_s;
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SwerveDriveKinematics<NumModules>& m_kinematics;
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SwerveDriveOdometry<NumModules> m_odometry;
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wpi::array<double, 3> m_q{wpi::empty_array};
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Eigen::Matrix3d m_visionK = Eigen::Matrix3d::Zero();
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TimeInterpolatableBuffer<InterpolationRecord> m_poseBuffer{
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1.5_s, [this](const InterpolationRecord& start,
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const InterpolationRecord& end, double t) {
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kBufferDuration, [this](const InterpolationRecord& start,
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const InterpolationRecord& end, double t) {
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return start.Interpolate(this->m_kinematics, end, t);
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}};
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};
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@@ -266,4 +266,41 @@ class DifferentialDrivePoseEstimatorTest {
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assertEquals(dx > 0.08 || dy > 0.08 || dtheta > 0.08, true, errorLog);
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}
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}
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@Test
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void testDiscardsStaleVisionMeasurements() {
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var kinematics = new DifferentialDriveKinematics(1);
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var estimator =
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new DifferentialDrivePoseEstimator(
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kinematics,
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new Rotation2d(),
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0,
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0,
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new Pose2d(),
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VecBuilder.fill(0.1, 0.1, 0.1),
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VecBuilder.fill(0.9, 0.9, 0.9));
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double time = 0;
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// Add enough measurements to fill up the buffer
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for (; time < 4; time += 0.02) {
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estimator.updateWithTime(time, new Rotation2d(), 0, 0);
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}
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var odometryPose = estimator.getEstimatedPosition();
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// Apply a vision measurement made 3 seconds ago
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// This test passes if this does not cause a ConcurrentModificationException.
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estimator.addVisionMeasurement(
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new Pose2d(new Translation2d(10, 10), new Rotation2d(0.1)),
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1,
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VecBuilder.fill(0.1, 0.1, 0.1));
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assertEquals(odometryPose.getX(), estimator.getEstimatedPosition().getX(), "Incorrect Final X");
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assertEquals(odometryPose.getY(), estimator.getEstimatedPosition().getY(), "Incorrect Final Y");
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assertEquals(
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odometryPose.getRotation().getRadians(),
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estimator.getEstimatedPosition().getRotation().getRadians(),
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"Incorrect Final Theta");
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}
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}
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@@ -279,4 +279,45 @@ class MecanumDrivePoseEstimatorTest {
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assertEquals(dx > 0.08 || dy > 0.08 || dtheta > 0.08, true, errorLog);
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}
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}
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@Test
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void testDiscardsOldVisionMeasurements() {
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var kinematics =
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new MecanumDriveKinematics(
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new Translation2d(1, 1),
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new Translation2d(-1, 1),
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new Translation2d(1, -1),
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new Translation2d(-1, -1));
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var estimator =
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new MecanumDrivePoseEstimator(
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kinematics,
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new Rotation2d(),
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new MecanumDriveWheelPositions(),
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new Pose2d(),
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VecBuilder.fill(0.1, 0.1, 0.1),
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VecBuilder.fill(0.9, 0.9, 0.9));
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double time = 0;
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// Add enough measurements to fill up the buffer
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for (; time < 4; time += 0.02) {
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estimator.updateWithTime(time, new Rotation2d(), new MecanumDriveWheelPositions());
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}
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var odometryPose = estimator.getEstimatedPosition();
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// Apply a vision measurement made 3 seconds ago
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// This test passes if this does not cause a ConcurrentModificationException.
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estimator.addVisionMeasurement(
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new Pose2d(new Translation2d(10, 10), new Rotation2d(0.1)),
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1,
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VecBuilder.fill(0.1, 0.1, 0.1));
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assertEquals(odometryPose.getX(), estimator.getEstimatedPosition().getX(), "Incorrect Final X");
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assertEquals(odometryPose.getY(), estimator.getEstimatedPosition().getY(), "Incorrect Final Y");
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assertEquals(
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odometryPose.getRotation().getRadians(),
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estimator.getEstimatedPosition().getRotation().getRadians(),
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"Incorrect Final Theta");
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}
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}
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@@ -300,4 +300,58 @@ class SwerveDrivePoseEstimatorTest {
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assertEquals(dx > 0.08 || dy > 0.08 || dtheta > 0.08, true, errorLog);
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}
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}
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@Test
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void testDiscardsOldVisionMeasurements() {
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var kinematics =
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new SwerveDriveKinematics(
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new Translation2d(1, 1),
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new Translation2d(-1, 1),
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new Translation2d(1, -1),
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new Translation2d(-1, -1));
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var estimator =
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new SwerveDrivePoseEstimator(
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kinematics,
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new Rotation2d(),
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new SwerveModulePosition[] {
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new SwerveModulePosition(),
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new SwerveModulePosition(),
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new SwerveModulePosition(),
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new SwerveModulePosition()
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},
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new Pose2d(),
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VecBuilder.fill(0.1, 0.1, 0.1),
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VecBuilder.fill(0.9, 0.9, 0.9));
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double time = 0;
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// Add enough measurements to fill up the buffer
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for (; time < 4; time += 0.02) {
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estimator.updateWithTime(
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time,
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new Rotation2d(),
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new SwerveModulePosition[] {
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new SwerveModulePosition(),
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new SwerveModulePosition(),
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new SwerveModulePosition(),
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new SwerveModulePosition()
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});
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}
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var odometryPose = estimator.getEstimatedPosition();
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// Apply a vision measurement made 3 seconds ago
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// This test passes if this does not cause a ConcurrentModificationException.
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estimator.addVisionMeasurement(
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new Pose2d(new Translation2d(10, 10), new Rotation2d(0.1)),
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1,
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VecBuilder.fill(0.1, 0.1, 0.1));
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assertEquals(odometryPose.getX(), estimator.getEstimatedPosition().getX(), "Incorrect Final X");
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assertEquals(odometryPose.getY(), estimator.getEstimatedPosition().getY(), "Incorrect Final Y");
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assertEquals(
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odometryPose.getRotation().getRadians(),
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estimator.getEstimatedPosition().getRotation().getRadians(),
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"Incorrect Final Theta");
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}
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}
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@@ -263,3 +263,31 @@ TEST(DifferentialDrivePoseEstimatorTest, SimultaneousVisionMeasurements) {
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EXPECT_TRUE(dx > 0.08_m || dy > 0.08_m || dtheta > 0.08_rad);
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}
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}
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TEST(DifferentialDrivePoseEstimatorTest, TestDiscardStaleVisionMeasurements) {
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frc::DifferentialDriveKinematics kinematics{1_m};
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frc::DifferentialDrivePoseEstimator estimator{
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kinematics, frc::Rotation2d{}, 0_m, 0_m, frc::Pose2d{},
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{0.1, 0.1, 0.1}, {0.45, 0.45, 0.45}};
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// Add enough measurements to fill up the bufer
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for (auto time = 0.0_s; time < 4_s; time += 0.02_s) {
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estimator.UpdateWithTime(time, frc::Rotation2d{}, 0_m, 0_m);
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}
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auto odometryPose = estimator.GetEstimatedPosition();
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// Apply a vision measurement from 3 seconds ago
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estimator.AddVisionMeasurement(
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frc::Pose2d{frc::Translation2d{10_m, 10_m}, frc::Rotation2d{0.1_rad}},
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1_s, {0.1, 0.1, 0.1});
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EXPECT_NEAR(odometryPose.X().value(),
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estimator.GetEstimatedPosition().X().value(), 1e-6);
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EXPECT_NEAR(odometryPose.Y().value(),
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estimator.GetEstimatedPosition().Y().value(), 1e-6);
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EXPECT_NEAR(odometryPose.Rotation().Radians().value(),
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estimator.GetEstimatedPosition().Rotation().Radians().value(),
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1e-6);
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}
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@@ -262,3 +262,34 @@ TEST(MecanumDrivePoseEstimatorTest, SimultaneousVisionMeasurements) {
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EXPECT_TRUE(dx > 0.08_m || dy > 0.08_m || dtheta > 0.08_rad);
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}
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}
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TEST(MecanumDrivePoseEstimatorTest, TestDiscardStaleVisionMeasurements) {
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frc::MecanumDriveKinematics kinematics{
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frc::Translation2d{1_m, 1_m}, frc::Translation2d{1_m, -1_m},
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frc::Translation2d{-1_m, -1_m}, frc::Translation2d{-1_m, 1_m}};
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frc::MecanumDrivePoseEstimator estimator{
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kinematics, frc::Rotation2d{}, frc::MecanumDriveWheelPositions{},
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frc::Pose2d{}, {0.1, 0.1, 0.1}, {0.45, 0.45, 0.45}};
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// Add enough measurements to fill up the bufer
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for (auto time = 0.0_s; time < 4_s; time += 0.02_s) {
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estimator.UpdateWithTime(time, frc::Rotation2d{},
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frc::MecanumDriveWheelPositions{});
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}
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auto odometryPose = estimator.GetEstimatedPosition();
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// Apply a vision measurement from 3 seconds ago
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estimator.AddVisionMeasurement(
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frc::Pose2d{frc::Translation2d{10_m, 10_m}, frc::Rotation2d{0.1_rad}},
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1_s, {0.1, 0.1, 0.1});
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EXPECT_NEAR(odometryPose.X().value(),
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estimator.GetEstimatedPosition().X().value(), 1e-6);
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EXPECT_NEAR(odometryPose.Y().value(),
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estimator.GetEstimatedPosition().Y().value(), 1e-6);
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EXPECT_NEAR(odometryPose.Rotation().Radians().value(),
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estimator.GetEstimatedPosition().Rotation().Radians().value(),
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1e-6);
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}
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@@ -275,3 +275,38 @@ TEST(SwerveDrivePoseEstimatorTest, SimultaneousVisionMeasurements) {
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EXPECT_TRUE(dx > 0.08_m || dy > 0.08_m || dtheta > 0.08_rad);
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}
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}
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TEST(SwerveDrivePoseEstimatorTest, TestDiscardStaleVisionMeasurements) {
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frc::SwerveDriveKinematics<4> kinematics{
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frc::Translation2d{1_m, 1_m}, frc::Translation2d{1_m, -1_m},
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frc::Translation2d{-1_m, -1_m}, frc::Translation2d{-1_m, 1_m}};
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frc::SwerveModulePosition fl;
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frc::SwerveModulePosition fr;
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frc::SwerveModulePosition bl;
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frc::SwerveModulePosition br;
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frc::SwerveDrivePoseEstimator<4> estimator{
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kinematics, frc::Rotation2d{}, {fl, fr, bl, br},
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frc::Pose2d{}, {0.1, 0.1, 0.1}, {0.45, 0.45, 0.45}};
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// Add enough measurements to fill up the bufer
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for (auto time = 0.0_s; time < 4_s; time += 0.02_s) {
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estimator.UpdateWithTime(time, frc::Rotation2d{}, {fl, fr, bl, br});
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}
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auto odometryPose = estimator.GetEstimatedPosition();
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// Apply a vision measurement from 3 seconds ago
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estimator.AddVisionMeasurement(
|
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frc::Pose2d{frc::Translation2d{10_m, 10_m}, frc::Rotation2d{0.1_rad}},
|
||||
1_s, {0.1, 0.1, 0.1});
|
||||
|
||||
EXPECT_NEAR(odometryPose.X().value(),
|
||||
estimator.GetEstimatedPosition().X().value(), 1e-6);
|
||||
EXPECT_NEAR(odometryPose.Y().value(),
|
||||
estimator.GetEstimatedPosition().Y().value(), 1e-6);
|
||||
EXPECT_NEAR(odometryPose.Rotation().Radians().value(),
|
||||
estimator.GetEstimatedPosition().Rotation().Radians().value(),
|
||||
1e-6);
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user