Added IMUThread and IMUFilter tests

This commit is contained in:
matlabbe
2026-05-17 14:20:34 -07:00
parent b0e0498e19
commit 7fdf3a13f2
5 changed files with 617 additions and 18 deletions
+75 -13
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@@ -34,47 +34,109 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
namespace rtabmap {
/**
* @class IMUFilter
* @brief Fuses gyroscope and accelerometer samples into an orientation quaternion.
*
* Implementations integrate angular rates and correct drift using the measured
* gravity vector. The public @ref update() API takes timestamps and computes the
* time step between consecutive calls.
*
* Factory methods @ref create() return heap-allocated instances; the caller owns
* the pointer (e.g. @ref SensorCaptureThread, @ref IMUThread, @ref Camera).
*
* Output orientation from @ref getOrientation() is a unit quaternion
* `(qx, qy, qz, qw)` in the same convention as @ref IMU (body frame).
*
* Filter tuning parameters are read from @ref ParametersMap (ImuFilter/... keys);
* see @ref ComplementaryFilter and @ref MadgwickFilter (when RTAB-Map is built
* with Madgwick support).
*
* @see IMU
* @see SensorCaptureThread::enableIMUFiltering()
*/
class RTABMAP_CORE_EXPORT IMUFilter
{
public:
/**
* @brief Orientation fusion algorithm.
*/
enum Type {
kMadgwick=0,
kComplementaryFilter=1};
public:
kMadgwick = 0, /**< Madgwick AHRS (attitude and heading reference system). RTAB-Map must be built with Madgwick support. */
kComplementaryFilter = 1}; /**< Complementary filter (always available). */
/**
* @brief Creates a filter using type parsed from @p parameters.
* @param parameters Optional ImuFilter/... tuning parameters.
* @return New filter instance (caller owns the pointer).
*/
static IMUFilter * create(const ParametersMap & parameters = ParametersMap());
/**
* @brief Creates a filter of the given @p type.
* @param type Fusion algorithm; falls back to @ref kComplementaryFilter if
* @ref kMadgwick is requested but not compiled in.
* @param parameters Optional ImuFilter/... tuning parameters.
* @return New filter instance (caller owns the pointer).
*/
static IMUFilter * create(IMUFilter::Type type, const ParametersMap & parameters = ParametersMap());
public:
virtual void parseParameters(const ParametersMap & parameters) {}
virtual ~IMUFilter(){}
virtual ~IMUFilter() {}
/**
* @brief Re-reads filter parameters from @p parameters.
* @param parameters ImuFilter/... keys (implementation-specific).
*/
virtual void parseParameters(const ParametersMap & parameters) {}
/**
* @brief Integrates one IMU sample and updates the internal orientation estimate.
* @param gx Gyroscope x angular rate (rad/s).
* @param gy Gyroscope y angular rate (rad/s).
* @param gz Gyroscope z angular rate (rad/s).
* @param ax Accelerometer x (m/s²; magnitude ~9.81 when stationary).
* @param ay Accelerometer y (m/s²).
* @param az Accelerometer z (m/s²).
* @param stamp Sample time (seconds); used with the previous stamp to compute `dt`.
*/
void update(
double gx, double gy, double gz,
double ax, double ay, double az,
double stamp);
/** @return Active fusion algorithm type. */
virtual IMUFilter::Type type() const = 0;
/**
* @brief Current orientation estimate.
* @param qx Quaternion x
* @param qy Quaternion y
* @param qz Quaternion z
* @param qw Quaternion w (scalar)
*/
virtual void getOrientation(double & qx, double & qy, double & qz, double & qw) const = 0;
/**
* @brief Resets internal state to the given orientation.
* @param qx Quaternion x (default 0)
* @param qy Quaternion y (default 0)
* @param qz Quaternion z (default 0)
* @param qw Quaternion w (default 1, identity)
*/
virtual void reset(double qx = 0.0, double qy = 0.0, double qz = 0.0, double qw = 1.0) = 0;
protected:
IMUFilter(const ParametersMap & parameters = ParametersMap()) : previousStamp_(0) {}
private:
// Update from accelerometer and gyroscope data.
// [gx, gy, gz]: Angular veloctiy, in rad / s.
// [ax, ay, az]: Normalized gravity vector.
// dt: time delta, in seconds.
virtual void updateImpl(
double gx, double gy, double gz,
double ax, double ay, double az,
double dt) = 0;
private:
double previousStamp_;
};
}
} // namespace rtabmap
#endif /* CORELIB_INCLUDE_RTABMAP_CORE_IMUFILTER_H_ */
+41 -4
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@@ -37,26 +37,63 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#include <fstream>
namespace rtabmap
{
namespace rtabmap {
class IMUFilter;
/**
* Class IMUThread
* @class IMUThread
* @brief Background thread that replays IMU measurements from a CSV file.
*
* Reads gyroscope and accelerometer samples from a comma-separated file (EuRoC-style
* or epoch timestamps), optionally fuses them with @ref IMUFilter, and posts
* @ref IMUEvent on each step.
*
* CSV format:
* - First line: header (skipped).
* - Following lines: `stamp,gx,gy,gz,ax,ay,az` (stamp in seconds with a decimal
* point, or EuRoC nanoseconds without one).
*
* Playback rate is limited by @ref setRate() when `rate > 0`; otherwise samples are
* read as fast as possible (or spaced using inter-sample timestamps after the first
* pair). When the file ends, the thread posts an empty @ref IMUEvent and stops.
*
* @see IMUEvent
* @see IMUFilter
* @see SensorCaptureThread::enableIMUFiltering()
*/
class RTABMAP_CORE_EXPORT IMUThread :
public UThread,
public UEventsSender
{
public:
/**
* @brief Constructs the replay thread.
* @param rate Target playback rate in Hz (`0` = no rate cap until timestamps apply).
* @param localTransform IMU frame relative to the robot base (stored in each @ref IMU).
*/
IMUThread(int rate, const Transform & localTransform);
virtual ~IMUThread();
/**
* @brief Opens and validates an IMU CSV file.
* @param path Path to the CSV file.
* @return False if the file is missing or contains no data rows.
*/
bool init(const std::string & path);
/** @brief Sets the target playback rate in Hz. */
void setRate(int rate);
void enableIMUFiltering(int filteringStrategy=1, const ParametersMap & parameters = ParametersMap(), bool baseFrameConversion = false);
/**
* @brief Enables orientation fusion on replayed samples.
* @param filteringStrategy @ref IMUFilter::Type index (`0` = Madgwick, `1` = complementary).
* @param parameters Optional ImuFilter/... tuning parameters.
* @param baseFrameConversion If true, rotate IMU vectors into the base frame before filtering.
*/
void enableIMUFiltering(int filteringStrategy = 1, const ParametersMap & parameters = ParametersMap(), bool baseFrameConversion = false);
/** @brief Disables fusion and deletes the internal @ref IMUFilter. */
void disableIMUFiltering();
private:
+10
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@@ -111,6 +111,16 @@ add_executable(test_imu test_imu.cpp)
target_link_libraries(test_imu gtest_main rtabmap_core)
add_test(NAME test_imu COMMAND test_imu)
#IMUFilter.h
add_executable(test_imufilter test_imufilter.cpp)
target_link_libraries(test_imufilter gtest_main rtabmap_core)
add_test(NAME test_imufilter COMMAND test_imufilter)
#IMUThread.h
add_executable(test_imuthread test_imuthread.cpp)
target_link_libraries(test_imuthread gtest_main rtabmap_core)
add_test(NAME test_imuthread COMMAND test_imuthread)
#Graph.h
add_executable(test_graph test_graph.cpp)
target_link_libraries(test_graph gtest_main rtabmap_core)
+174
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@@ -0,0 +1,174 @@
#include <gtest/gtest.h>
#include <rtabmap/core/IMUFilter.h>
#include <rtabmap/core/Parameters.h>
#include <rtabmap/utilite/UConversion.h>
#include <cmath>
#include <memory>
using namespace rtabmap;
namespace {
static constexpr double kGravity = 9.81;
static void expectQuatNear(
double qx,
double qy,
double qz,
double qw,
double ex,
double ey,
double ez,
double ew,
double tol = 1e-3)
{
EXPECT_NEAR(qx, ex, tol);
EXPECT_NEAR(qy, ey, tol);
EXPECT_NEAR(qz, ez, tol);
EXPECT_NEAR(qw, ew, tol);
}
static double quatNorm(double qx, double qy, double qz, double qw)
{
return std::sqrt(qx * qx + qy * qy + qz * qz + qw * qw);
}
static ParametersMap complementaryParams(
double gainAcc = 0.2,
bool biasEstimation = false)
{
ParametersMap params;
params.insert(ParametersPair(Parameters::kImuFilterComplementaryGainAcc(), uNumber2Str(gainAcc)));
params.insert(ParametersPair(
Parameters::kImuFilterComplementaryDoBiasEstimation(),
biasEstimation ? "true" : "false"));
params.insert(ParametersPair(Parameters::kImuFilterComplementaryDoAdpativeGain(), "false"));
return params;
}
static void feedStaticLevel(IMUFilter & filter, double stamp, int count = 20, double dt = 0.01)
{
for(int i = 0; i < count; ++i)
{
filter.update(0, 0, 0, 0, 0, kGravity, stamp + i * dt);
}
}
static void feedYawRate(IMUFilter & filter, double gz, double stamp, int count = 50, double dt = 0.01)
{
for(int i = 0; i < count; ++i)
{
filter.update(0, 0, gz, 0, 0, kGravity, stamp + i * dt);
}
}
} // namespace
TEST(IMUFilterTest, CreateComplementaryFilter)
{
std::unique_ptr<IMUFilter> filter(IMUFilter::create(IMUFilter::kComplementaryFilter));
ASSERT_NE(filter.get(), nullptr);
EXPECT_EQ(filter->type(), IMUFilter::kComplementaryFilter);
}
TEST(IMUFilterTest, CreateMadgwickOrFallback)
{
std::unique_ptr<IMUFilter> filter(IMUFilter::create(IMUFilter::kMadgwick));
ASSERT_NE(filter.get(), nullptr);
#ifdef RTABMAP_MADGWICK
EXPECT_EQ(filter->type(), IMUFilter::kMadgwick);
#else
EXPECT_EQ(filter->type(), IMUFilter::kComplementaryFilter);
#endif
}
TEST(IMUFilterTest, CreateFromParametersMap)
{
std::unique_ptr<IMUFilter> filter(IMUFilter::create(complementaryParams()));
ASSERT_NE(filter.get(), nullptr);
EXPECT_EQ(filter->type(), IMUFilter::kComplementaryFilter);
}
TEST(IMUFilterTest, ResetSetsOrientation)
{
std::unique_ptr<IMUFilter> filter(
IMUFilter::create(IMUFilter::kComplementaryFilter, complementaryParams()));
filter->reset();
double qx = 0, qy = 0, qz = 0, qw = 0;
filter->getOrientation(qx, qy, qz, qw);
expectQuatNear(qx, qy, qz, qw, 0, 0, 0, 1, 1e-4);
// Use a unit quaternion (reset stores its inverse internally).
const double qxIn = 0.1, qyIn = 0.2, qzIn = 0.3;
const double qwIn = std::sqrt(1.0 - qxIn * qxIn - qyIn * qyIn - qzIn * qzIn);
filter->reset(qxIn, qyIn, qzIn, qwIn);
filter->getOrientation(qx, qy, qz, qw);
expectQuatNear(qx, qy, qz, qw, qxIn, qyIn, qzIn, qwIn, 1e-4);
EXPECT_NEAR(quatNorm(qx, qy, qz, qw), 1.0, 1e-4);
}
TEST(IMUFilterTest, StaticAccelerometerNearIdentity)
{
std::unique_ptr<IMUFilter> filter(
IMUFilter::create(IMUFilter::kComplementaryFilter, complementaryParams()));
feedStaticLevel(*filter, 0.0);
double qx = 0, qy = 0, qz = 0, qw = 0;
filter->getOrientation(qx, qy, qz, qw);
expectQuatNear(qx, qy, qz, qw, 0, 0, 0, 1, 0.05);
EXPECT_NEAR(quatNorm(qx, qy, qz, qw), 1.0, 1e-4);
}
TEST(IMUFilterTest, OrientationStaysNormalized)
{
std::unique_ptr<IMUFilter> filter(
IMUFilter::create(IMUFilter::kComplementaryFilter, complementaryParams()));
feedStaticLevel(*filter, 0.0, 100);
double qx = 0, qy = 0, qz = 0, qw = 0;
filter->getOrientation(qx, qy, qz, qw);
EXPECT_NEAR(quatNorm(qx, qy, qz, qw), 1.0, 1e-4);
}
TEST(IMUFilterTest, GyroIntegrationChangesYaw)
{
std::unique_ptr<IMUFilter> filter(
IMUFilter::create(IMUFilter::kComplementaryFilter, complementaryParams(0.01, false)));
feedStaticLevel(*filter, 0.0, 5);
feedYawRate(*filter, 1.0, 0.1, 80, 0.01);
double qx = 0, qy = 0, qz = 0, qw = 0;
filter->getOrientation(qx, qy, qz, qw);
EXPECT_GT(std::fabs(qz), 0.05);
EXPECT_NEAR(quatNorm(qx, qy, qz, qw), 1.0, 1e-3);
}
TEST(IMUFilterTest, ParseParametersAffectsFilter)
{
ParametersMap params = complementaryParams(0.5, false);
std::unique_ptr<IMUFilter> filter(IMUFilter::create(IMUFilter::kComplementaryFilter, params));
filter->parseParameters(complementaryParams(0.01, false));
feedStaticLevel(*filter, 0.0);
double qx = 0, qy = 0, qz = 0, qw = 0;
filter->getOrientation(qx, qy, qz, qw);
EXPECT_NEAR(quatNorm(qx, qy, qz, qw), 1.0, 1e-4);
}
#ifdef RTABMAP_MADGWICK
TEST(IMUFilterTest, MadgwickStaticAccelerometerNearIdentity)
{
ParametersMap params;
params.insert(ParametersPair(Parameters::kImuFilterMadgwickGain(), "0.1"));
params.insert(ParametersPair(Parameters::kImuFilterMadgwickZeta(), "0.0"));
std::unique_ptr<IMUFilter> filter(IMUFilter::create(IMUFilter::kMadgwick, params));
feedStaticLevel(*filter, 0.0);
double qx = 0, qy = 0, qz = 0, qw = 0;
filter->getOrientation(qx, qy, qz, qw);
expectQuatNear(qx, qy, qz, qw, 0, 0, 0, 1, 0.1);
EXPECT_NEAR(quatNorm(qx, qy, qz, qw), 1.0, 1e-4);
}
#endif
+316
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@@ -0,0 +1,316 @@
#include <gtest/gtest.h>
#include <rtabmap/core/IMUThread.h>
#include <rtabmap/core/IMU.h>
#include <rtabmap/core/IMUFilter.h>
#include <rtabmap/utilite/UEventsHandler.h>
#include <rtabmap/utilite/UEventsManager.h>
#include <rtabmap/utilite/UFile.h>
#include <rtabmap/utilite/UConversion.h>
#include <rtabmap/utilite/UTimer.h>
#include <fstream>
#include <cmath>
#include <unistd.h>
#include <vector>
using namespace rtabmap;
namespace {
static int g_fileCounter = 0;
static std::string tempImuCsvPath()
{
return uFormat("/tmp/rtabmap_imuthread_test_%d_%d.csv", getpid(), ++g_fileCounter);
}
static bool writeImuCsv(const std::string & path, const std::vector<std::string> & rows)
{
std::ofstream file(path.c_str());
if(!file.good())
{
return false;
}
file << "#timestamp,wx,wy,wz,ax,ay,az\n";
for(size_t i = 0; i < rows.size(); ++i)
{
file << rows[i] << "\n";
}
return file.good();
}
static bool orientationSet(const cv::Vec4d & orientation)
{
return orientation[0] != 0.0 || orientation[1] != 0.0 || orientation[2] != 0.0 || orientation[3] != 0.0;
}
static void expectVec3Near(const cv::Vec3d & a, const cv::Vec3d & b, double tol = 1e-5)
{
EXPECT_NEAR(a[0], b[0], tol);
EXPECT_NEAR(a[1], b[1], tol);
EXPECT_NEAR(a[2], b[2], tol);
}
static void expectQuatNear(
const cv::Vec4d & q,
double ex,
double ey,
double ez,
double ew,
double tol = 1e-3)
{
EXPECT_NEAR(q[0], ex, tol);
EXPECT_NEAR(q[1], ey, tol);
EXPECT_NEAR(q[2], ez, tol);
EXPECT_NEAR(q[3], ew, tol);
}
class IMUEventCollector : public UEventsHandler
{
public:
struct Sample
{
IMU data;
double stamp;
bool valid;
};
void clear() { samples_.clear(); }
const std::vector<Sample> & samples() const { return samples_; }
protected:
virtual bool handleEvent(UEvent * event)
{
if(event->getClassName() == "IMUEvent")
{
const IMUEvent * imuEvent = static_cast<IMUEvent *>(event);
Sample sample;
sample.data = imuEvent->getData();
sample.stamp = imuEvent->getStamp();
sample.valid = !imuEvent->getData().empty();
samples_.push_back(sample);
}
return false;
}
private:
std::vector<Sample> samples_;
};
static std::vector<IMUEventCollector::Sample> runThread(
IMUThread & thread,
size_t minValidSamples = 0,
double maxWaitSec = 2.0)
{
IMUEventCollector collector;
UEventsManager::addHandler(&collector);
thread.start();
UTimer timer;
while(timer.ticks() < maxWaitSec)
{
if(thread.isKilled())
{
break;
}
if(minValidSamples > 0)
{
size_t validCount = 0;
for(size_t i = 0; i < collector.samples().size(); ++i)
{
if(collector.samples()[i].valid)
{
++validCount;
}
}
if(validCount >= minValidSamples)
{
break;
}
}
uSleep(5);
}
if(!thread.isKilled())
{
thread.kill();
}
thread.join(true);
UEventsManager::removeHandler(&collector);
return collector.samples();
}
} // namespace
TEST(IMUThreadTest, InitFailsOnMissingFile)
{
IMUThread thread(0, Transform::getIdentity());
EXPECT_FALSE(thread.init("/tmp/rtabmap_imuthread_missing_file.csv"));
}
TEST(IMUThreadTest, InitFailsOnHeaderOnly)
{
const std::string path = tempImuCsvPath();
ASSERT_TRUE(writeImuCsv(path, std::vector<std::string>()));
IMUThread thread(0, Transform::getIdentity());
EXPECT_FALSE(thread.init(path));
UFile::erase(path);
}
TEST(IMUThreadTest, InitSucceedsWithValidFile)
{
const std::string path = tempImuCsvPath();
ASSERT_TRUE(writeImuCsv(path, {"1.0,0,0,0,0,0,9.81"}));
IMUThread thread(0, Transform::getIdentity());
EXPECT_TRUE(thread.init(path));
UFile::erase(path);
}
TEST(IMUThreadTest, PublishesSamplesFromCsv)
{
const std::string path = tempImuCsvPath();
// Equal stamps avoid captureDelay busy-wait when rate is 0.
ASSERT_TRUE(writeImuCsv(path, {
"1.0,0.1,0.2,0.3,0.0,0.0,9.81",
"1.0,0.2,0.3,0.4,0.0,0.0,9.81"}));
IMUThread thread(0, Transform::getIdentity());
ASSERT_TRUE(thread.init(path));
const std::vector<IMUEventCollector::Sample> samples = runThread(thread, 2);
ASSERT_GE(samples.size(), 2u);
EXPECT_TRUE(samples[0].valid);
EXPECT_NEAR(samples[0].stamp, 1.0, 1e-6);
expectVec3Near(samples[0].data.angularVelocity(), cv::Vec3d(0.1, 0.2, 0.3));
expectVec3Near(samples[0].data.linearAcceleration(), cv::Vec3d(0.0, 0.0, 9.81));
EXPECT_TRUE(samples[1].valid);
EXPECT_NEAR(samples[1].stamp, 1.0, 1e-6);
// End-of-file posts an invalid/empty event then kills the thread.
EXPECT_FALSE(samples.back().valid);
UFile::erase(path);
}
TEST(IMUThreadTest, PublishesEurocStampsInSeconds)
{
// EuRoC IMU CSV: integer timestamp = seconds * 1e9 + nanoseconds (no '.').
// 10.5 s -> "10500000000", 10.6 s -> "10600000000"
const std::string path = tempImuCsvPath();
ASSERT_TRUE(writeImuCsv(path, {
"10500000000,0.1,0.2,0.3,0.0,0.0,9.81",
"10600000000,0.2,0.3,0.4,0.0,0.0,9.81"}));
IMUThread thread(0, Transform::getIdentity());
ASSERT_TRUE(thread.init(path));
const std::vector<IMUEventCollector::Sample> samples = runThread(thread, 2);
ASSERT_GE(samples.size(), 2u);
EXPECT_TRUE(samples[0].valid);
EXPECT_NEAR(samples[0].stamp, 10.5, 1e-9);
EXPECT_TRUE(samples[1].valid);
EXPECT_NEAR(samples[1].stamp, 10.6, 1e-9);
UFile::erase(path);
}
TEST(IMUThreadTest, EnableFilteringSetsOrientation)
{
const std::string path = tempImuCsvPath();
ASSERT_TRUE(writeImuCsv(path, {
"0.0,0,0,0,0,0,9.81",
"0.01,0,0,0,0,0,9.81",
"0.02,0,0,0,0,0,9.81",
"0.03,0,0,0,0,0,9.81",
"0.04,0,0,0,0,0,9.81"}));
IMUThread thread(0, Transform::getIdentity());
ASSERT_TRUE(thread.init(path));
thread.enableIMUFiltering(IMUFilter::kComplementaryFilter);
const std::vector<IMUEventCollector::Sample> samples = runThread(thread, 3);
ASSERT_FALSE(samples.empty());
bool foundOrientation = false;
for(int i = static_cast<int>(samples.size()) - 1; i >= 0; --i)
{
if(samples[i].valid && orientationSet(samples[i].data.orientation()))
{
foundOrientation = true;
const cv::Vec4d & q = samples[i].data.orientation();
const double norm = std::sqrt(
q[0] * q[0] + q[1] * q[1] + q[2] * q[2] + q[3] * q[3]);
EXPECT_NEAR(norm, 1.0, 0.05);
// Static gravity, zero gyro: filter should stay near identity.
expectQuatNear(q, 0, 0, 0, 1, 0.05);
break;
}
}
EXPECT_TRUE(foundOrientation);
UFile::erase(path);
}
TEST(IMUThreadTest, DisableFilteringLeavesOrientationUnset)
{
const std::string path = tempImuCsvPath();
ASSERT_TRUE(writeImuCsv(path, {"1.0,0.1,0.2,0.3,0.0,0.0,9.81"}));
IMUThread thread(0, Transform::getIdentity());
ASSERT_TRUE(thread.init(path));
thread.enableIMUFiltering(IMUFilter::kComplementaryFilter);
thread.disableIMUFiltering();
const std::vector<IMUEventCollector::Sample> samples = runThread(thread, 1);
ASSERT_GE(samples.size(), 1u);
EXPECT_TRUE(samples[0].valid);
EXPECT_FALSE(orientationSet(samples[0].data.orientation()));
UFile::erase(path);
}
TEST(IMUThreadTest, StoresLocalTransformWithoutConvertingAcceleration)
{
// Without IMU filtering, localTransform is only attached; acc/gyro are not rotated.
const std::string path = tempImuCsvPath();
ASSERT_TRUE(writeImuCsv(path, {"1.0,0,0,0,0,0,9.81"}));
const Transform local(0.1f, 0.2f, 0.3f, 0.f, 0.f, 0.5f);
IMUThread thread(0, local);
ASSERT_TRUE(thread.init(path));
const std::vector<IMUEventCollector::Sample> samples = runThread(thread, 1);
ASSERT_GE(samples.size(), 1u);
EXPECT_TRUE(samples[0].valid);
expectVec3Near(samples[0].data.linearAcceleration(), cv::Vec3d(0, 0, 9.81));
EXPECT_FLOAT_EQ(samples[0].data.localTransform().x(), 0.1f);
EXPECT_FLOAT_EQ(samples[0].data.localTransform().theta(), 0.5f);
UFile::erase(path);
}
TEST(IMUThreadTest, BaseFrameConversionRotatesAcceleration)
{
// With filtering and baseFrameConversion=true, IMUThread calls convertToBaseFrame()
// before fusion (same rotation as IMU::convertToBaseFrame()).
const std::string path = tempImuCsvPath();
ASSERT_TRUE(writeImuCsv(path, {"1.0,0,0,0,1.0,0.0,0.0"}));
const float halfPi = static_cast<float>(CV_PI / 2.0);
const Transform local(0.f, 0.f, 0.f, 0.f, 0.f, halfPi);
IMUThread thread(0, local);
ASSERT_TRUE(thread.init(path));
thread.enableIMUFiltering(IMUFilter::kComplementaryFilter, ParametersMap(), true);
const std::vector<IMUEventCollector::Sample> samples = runThread(thread, 1);
ASSERT_GE(samples.size(), 1u);
EXPECT_TRUE(samples[0].valid);
expectVec3Near(samples[0].data.linearAcceleration(), cv::Vec3d(0, 1, 0), 1e-4);
EXPECT_NEAR(samples[0].data.localTransform().theta(), 0.0f, 1e-5f);
UFile::erase(path);
}