mirror of
https://github.com/orbbec/OrbbecSDK_ROS2.git
synced 2026-10-04 03:57:46 +08:00
Changed echo mode property checks to use OB_PROP_LIDAR_SPECIFIC_MODE_INT
This commit is contained in:
File diff suppressed because it is too large
Load Diff
@@ -162,11 +162,14 @@ void OBLidarNode::getParameters() {
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// Multi-frame publishing parameter - only for LIDAR_POINT and LIDAR_SPHERE_POINT formats
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setAndGetNodeParameter<int>(publish_n_pkts_, "publish_n_pkts", 1);
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if (publish_n_pkts_ < 1 || publish_n_pkts_ > 12000) {
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RCLCPP_WARN_STREAM(logger_, "publish_n_pkts value " << publish_n_pkts_
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<< " is out of range [1, 12000], setting to 1");
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RCLCPP_WARN_STREAM(logger_, "publish_n_pkts value "
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<< publish_n_pkts_
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<< " is out of range [1, 12000], setting to 1");
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publish_n_pkts_ = 1;
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}
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if(publish_n_pkts_ >1) RCLCPP_INFO_STREAM(logger_, "Multi-frame publishing enabled: " << publish_n_pkts_ << " frames will be merged");
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if (publish_n_pkts_ > 1)
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RCLCPP_INFO_STREAM(
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logger_, "Multi-frame publishing enabled: " << publish_n_pkts_ << " frames will be merged");
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// Setup IMU streams if enabled
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if (enable_imu_) {
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@@ -215,16 +218,16 @@ void OBLidarNode::setupDevices() {
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TRY_TO_SET_PROPERTY(setBoolProperty, OB_PROP_HEARTBEAT_BOOL, enable_heartbeat_);
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}
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if (!echo_mode_.empty() &&
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device_->isPropertySupported(OB_PROP_LIDAR_ECHO_MODE_INT, OB_PERMISSION_READ_WRITE)) {
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device_->isPropertySupported(OB_PROP_LIDAR_SPECIFIC_MODE_INT, OB_PERMISSION_READ_WRITE)) {
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if (echo_mode_ == "Last Echo") {
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TRY_TO_SET_PROPERTY(setIntProperty, OB_PROP_LIDAR_ECHO_MODE_INT, 0);
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TRY_TO_SET_PROPERTY(setIntProperty, OB_PROP_LIDAR_SPECIFIC_MODE_INT, 0);
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} else if (echo_mode_ == "First Echo") {
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TRY_TO_SET_PROPERTY(setIntProperty, OB_PROP_LIDAR_ECHO_MODE_INT, 1);
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TRY_TO_SET_PROPERTY(setIntProperty, OB_PROP_LIDAR_SPECIFIC_MODE_INT, 1);
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}
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RCLCPP_INFO_STREAM(logger_,
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"Setting echo mode to "
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<< (device_->getIntProperty(OB_PROP_LIDAR_ECHO_MODE_INT) ? "First Echo"
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: "Last Echo"));
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RCLCPP_INFO_STREAM(
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logger_, "Setting echo mode to "
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<< (device_->getIntProperty(OB_PROP_LIDAR_SPECIFIC_MODE_INT) ? "First Echo"
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: "Last Echo"));
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}
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if (repetitive_scan_mode_ != -1 &&
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device_->isPropertySupported(OB_PROP_LIDAR_REPETITIVE_SCAN_MODE_INT,
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@@ -286,11 +289,11 @@ void OBLidarNode::setupProfiles() {
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if (profile == nullptr) {
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throw std::runtime_error("Failed cast profile to LiDARStreamProfile");
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}
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RCLCPP_DEBUG_STREAM(
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logger_,
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"Sensor profile: " << "stream_type: " << magic_enum::enum_name(profile->getType())
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<< "Scan Rate: " << magic_enum::enum_name(profile->getScanRate())
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<< "Format:" << magic_enum::enum_name(profile->getFormat()));
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RCLCPP_DEBUG_STREAM(logger_,
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"Sensor profile: "
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<< "stream_type: " << magic_enum::enum_name(profile->getType())
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<< "Scan Rate: " << magic_enum::enum_name(profile->getScanRate())
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<< "Format:" << magic_enum::enum_name(profile->getFormat()));
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supported_profiles_[elem].emplace_back(profile);
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}
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std::shared_ptr<ob::LiDARStreamProfile> selected_profile;
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@@ -363,8 +366,8 @@ void OBLidarNode::setupProfiles() {
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stream_profile_[stream_index] = profile;
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}
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RCLCPP_INFO_STREAM(logger_, "stream " << stream_name_[stream_index] << " full scale range "
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<< (stream_index == ACCEL ? accel_range_ : gyro_range_) << " sample rate "
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<< imu_rate_);
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<< (stream_index == ACCEL ? accel_range_ : gyro_range_)
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<< " sample rate " << imu_rate_);
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} catch (const ob::Error &e) {
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RCLCPP_INFO_STREAM(logger_, "Failed to setup << " << stream_name_[stream_index]
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<< " profile: " << e.getMessage());
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@@ -454,7 +457,6 @@ void OBLidarNode::startStreams() {
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pipeline_started_.store(true);
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}
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void OBLidarNode::startIMU() {
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if (!enable_imu_) {
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return;
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@@ -499,10 +501,10 @@ void OBLidarNode::startIMU() {
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RCLCPP_ERROR_STREAM(
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logger_, "Failed to start IMU stream, please check the imu_rate and imu_range parameters.");
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} else {
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RCLCPP_INFO_STREAM(
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logger_, "Started IMU stream with accel range: " << fullAccelScaleRangeToString(accel_range)
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<< ", gyro range: " << fullGyroScaleRangeToString(gyro_range)
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<< ", rate: " << sampleRateToString(accel_rate));
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RCLCPP_INFO_STREAM(logger_, "Started IMU stream with accel range: "
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<< fullAccelScaleRangeToString(accel_range)
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<< ", gyro range: " << fullGyroScaleRangeToString(gyro_range)
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<< ", rate: " << sampleRateToString(accel_rate));
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}
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}
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@@ -567,7 +569,7 @@ void OBLidarNode::setupPipelineConfig() {
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}
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void OBLidarNode::onNewIMUFrameCallback(const std::shared_ptr<ob::Frame> &accelframe,
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const std::shared_ptr<ob::Frame> &gryoframe) {
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const std::shared_ptr<ob::Frame> &gryoframe) {
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if (!is_camera_node_initialized_) {
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return;
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}
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@@ -613,7 +615,6 @@ void OBLidarNode::onNewIMUFrameCallback(const std::shared_ptr<ob::Frame> &accelf
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imu_publisher_->publish(imu_msg);
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}
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void OBLidarNode::onNewFrameSetCallback(std::shared_ptr<ob::FrameSet> frame_set) {
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if (!is_running_.load()) {
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return;
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@@ -632,7 +633,8 @@ void OBLidarNode::onNewFrameSetCallback(std::shared_ptr<ob::FrameSet> frame_set)
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}
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// Handle multi-frame publishing for LIDAR_POINT and LIDAR_SPHERE_POINT formats
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if ((format_[LIDAR] == OB_FORMAT_LIDAR_POINT || format_[LIDAR] == OB_FORMAT_LIDAR_SPHERE_POINT)) {
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if ((format_[LIDAR] == OB_FORMAT_LIDAR_POINT ||
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format_[LIDAR] == OB_FORMAT_LIDAR_SPHERE_POINT)) {
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std::lock_guard<std::mutex> lock(frame_buffer_mutex_);
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frame_buffer_.push_back(frame_set);
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// If we have enough frames, publish merged point cloud
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@@ -644,8 +646,7 @@ void OBLidarNode::onNewFrameSetCallback(std::shared_ptr<ob::FrameSet> frame_set)
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}
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frame_buffer_.clear();
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}
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}
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else {
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} else {
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// Original single frame publishing logic
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if (format_[LIDAR] == OB_FORMAT_LIDAR_SCAN && !enable_scan_to_point_) {
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publishScan(frame_set);
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@@ -837,13 +838,13 @@ void OBLidarNode::publishMergedPointCloud() {
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// Calculate total point count across all frames
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size_t total_point_count = 0;
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std::vector<std::pair<OBLiDARPoint*, size_t>> frame_data;
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std::vector<std::pair<OBLiDARPoint *, size_t>> frame_data;
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std::vector<uint64_t> frame_timestamps;
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for (const auto& fs : frame_buffer_) {
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for (const auto &fs : frame_buffer_) {
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auto lidar_frame = fs->getFrame(OB_FRAME_LIDAR_POINTS);
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if (lidar_frame) {
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auto* point_data = reinterpret_cast<OBLiDARPoint*>(lidar_frame->getData());
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auto *point_data = reinterpret_cast<OBLiDARPoint *>(lidar_frame->getData());
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auto point_count = lidar_frame->getDataSize() / sizeof(OBLiDARPoint);
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frame_data.emplace_back(point_data, point_count);
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frame_timestamps.push_back(getFrameTimestampUs(lidar_frame));
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@@ -858,13 +859,11 @@ void OBLidarNode::publishMergedPointCloud() {
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// Create merged point cloud message with offset_time field
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auto point_cloud_msg = std::make_unique<sensor_msgs::msg::PointCloud2>();
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sensor_msgs::PointCloud2Modifier modifier(*point_cloud_msg);
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modifier.setPointCloud2Fields(6,
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"x", 1, sensor_msgs::msg::PointField::FLOAT32,
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"y", 1, sensor_msgs::msg::PointField::FLOAT32,
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"z", 1, sensor_msgs::msg::PointField::FLOAT32,
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"intensity", 1, sensor_msgs::msg::PointField::UINT8,
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"tag", 1, sensor_msgs::msg::PointField::UINT8,
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"offset_time", 1, sensor_msgs::msg::PointField::UINT32);
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modifier.setPointCloud2Fields(
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6, "x", 1, sensor_msgs::msg::PointField::FLOAT32, "y", 1,
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sensor_msgs::msg::PointField::FLOAT32, "z", 1, sensor_msgs::msg::PointField::FLOAT32,
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"intensity", 1, sensor_msgs::msg::PointField::UINT8, "tag", 1,
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sensor_msgs::msg::PointField::UINT8, "offset_time", 1, sensor_msgs::msg::PointField::UINT32);
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modifier.resize(total_point_count);
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// Use the timestamp of the latest frame as the header timestamp
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@@ -899,7 +898,8 @@ void OBLidarNode::publishMergedPointCloud() {
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// RCLCPP_INFO_STREAM(logger_, "Frame1 " << frame_idx << ": point_count = " << point_count
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// << ", frame_timestamp_us = " << frame_timestamp_us
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// << ", point_time_increment_us = " << point_time_increment_us);
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// << ", point_time_increment_us = " <<
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// point_time_increment_us);
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for (size_t i = 0; i < point_count;
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++i, ++iter_x, ++iter_y, ++iter_z, ++iter_intensity, ++iter_tag, ++iter_offset_time) {
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*iter_x = static_cast<float>(point_data[i].x / 1000.0);
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@@ -909,9 +909,12 @@ void OBLidarNode::publishMergedPointCloud() {
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*iter_tag = point_data[i].tag;
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// Calculate per-point offset time in nanoseconds relative to point cloud header timestamp
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double point_timestamp_us = static_cast<double>(frame_timestamp_us) + (i * point_time_increment_us);
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uint64_t header_timestamp_us = frame_timestamps[0]; // First frame timestamp
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*iter_offset_time = static_cast<uint32_t>((point_timestamp_us - static_cast<double>(header_timestamp_us)) * 1000.0); // Convert to nanoseconds
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double point_timestamp_us =
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static_cast<double>(frame_timestamp_us) + (i * point_time_increment_us);
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uint64_t header_timestamp_us = frame_timestamps[0]; // First frame timestamp
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*iter_offset_time =
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static_cast<uint32_t>((point_timestamp_us - static_cast<double>(header_timestamp_us)) *
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1000.0); // Convert to nanoseconds
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}
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}
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@@ -926,13 +929,13 @@ void OBLidarNode::publishMergedSpherePointCloud() {
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// Calculate total point count across all frames
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size_t total_point_count = 0;
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std::vector<std::pair<OBLiDARSpherePoint*, size_t>> frame_data;
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std::vector<std::pair<OBLiDARSpherePoint *, size_t>> frame_data;
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std::vector<uint64_t> frame_timestamps;
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for (const auto& fs : frame_buffer_) {
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for (const auto &fs : frame_buffer_) {
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auto lidar_frame = fs->getFrame(OB_FRAME_LIDAR_POINTS);
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if (lidar_frame) {
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auto* point_data = reinterpret_cast<OBLiDARSpherePoint*>(lidar_frame->getData());
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auto *point_data = reinterpret_cast<OBLiDARSpherePoint *>(lidar_frame->getData());
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auto point_count = lidar_frame->getDataSize() / sizeof(OBLiDARSpherePoint);
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frame_data.emplace_back(point_data, point_count);
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frame_timestamps.push_back(getFrameTimestampUs(lidar_frame));
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@@ -947,13 +950,11 @@ void OBLidarNode::publishMergedSpherePointCloud() {
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// Create merged point cloud message with timestamp field
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auto point_cloud_msg = std::make_unique<sensor_msgs::msg::PointCloud2>();
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sensor_msgs::PointCloud2Modifier modifier(*point_cloud_msg);
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modifier.setPointCloud2Fields(6,
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"x", 1, sensor_msgs::msg::PointField::FLOAT32,
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"y", 1, sensor_msgs::msg::PointField::FLOAT32,
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"z", 1, sensor_msgs::msg::PointField::FLOAT32,
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"intensity", 1, sensor_msgs::msg::PointField::UINT8,
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"tag", 1, sensor_msgs::msg::PointField::UINT8,
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"offset_time", 1, sensor_msgs::msg::PointField::UINT32);
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modifier.setPointCloud2Fields(
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6, "x", 1, sensor_msgs::msg::PointField::FLOAT32, "y", 1,
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sensor_msgs::msg::PointField::FLOAT32, "z", 1, sensor_msgs::msg::PointField::FLOAT32,
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"intensity", 1, sensor_msgs::msg::PointField::UINT8, "tag", 1,
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sensor_msgs::msg::PointField::UINT8, "offset_time", 1, sensor_msgs::msg::PointField::UINT32);
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modifier.resize(total_point_count);
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// Use the timestamp of the latest frame as the header timestamp
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@@ -991,7 +992,8 @@ void OBLidarNode::publishMergedSpherePointCloud() {
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// RCLCPP_INFO_STREAM(logger_, "Frame " << frame_idx << ": point_count = " << point_count
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// << ", frame_timestamp_us = " << frame_timestamp_us
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// << ", point_time_increment_us = " << point_time_increment_us);
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// << ", point_time_increment_us = " <<
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// point_time_increment_us);
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for (size_t i = 0; i < point_count;
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++i, ++iter_x, ++iter_y, ++iter_z, ++iter_intensity, ++iter_tag, ++iter_offset_time) {
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@@ -1002,9 +1004,12 @@ void OBLidarNode::publishMergedSpherePointCloud() {
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*iter_tag = result_point[i].tag;
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// Calculate per-point offset time in nanoseconds relative to point cloud header timestamp
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double point_timestamp_us = static_cast<double>(frame_timestamp_us) + (i * point_time_increment_us);
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uint64_t header_timestamp_us = frame_timestamps[0]; // First frame timestamp
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*iter_offset_time = static_cast<uint32_t>((point_timestamp_us - static_cast<double>(header_timestamp_us)) * 1000.0); // Convert to nanoseconds
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double point_timestamp_us =
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static_cast<double>(frame_timestamp_us) + (i * point_time_increment_us);
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uint64_t header_timestamp_us = frame_timestamps[0]; // First frame timestamp
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*iter_offset_time =
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static_cast<uint32_t>((point_timestamp_us - static_cast<double>(header_timestamp_us)) *
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1000.0); // Convert to nanoseconds
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}
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}
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@@ -1205,9 +1210,11 @@ void OBLidarNode::calcAndPublishStaticTransform() {
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// optical_frame_id_[stream_index]);
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// RCLCPP_INFO_STREAM(logger_, "Publishing static transform from " << stream_name_[stream_index]
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// << " to "
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// << stream_name_[base_stream_]);
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// RCLCPP_INFO_STREAM(logger_, "Translation " << trans[0] << ", " << trans[1] << ", " << trans[2]);
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// RCLCPP_INFO_STREAM(logger_, "Rotation " << Q.getX() << ", " << Q.getY() << ", " << Q.getZ()
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// <<
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// stream_name_[base_stream_]);
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// RCLCPP_INFO_STREAM(logger_, "Translation " << trans[0] << ", " << trans[1] << ", " <<
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// trans[2]); RCLCPP_INFO_STREAM(logger_, "Rotation " << Q.getX() << ", " << Q.getY() << ", " <<
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// Q.getZ()
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// << ", " << Q.getW());
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// }
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if (enable_imu_) {
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@@ -1241,7 +1248,8 @@ void OBLidarNode::calcAndPublishStaticTransform() {
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RCLCPP_DEBUG_STREAM(logger_, "ACCEL and GYRO extrinsics are identical");
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}
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} catch (const ob::Error &e) {
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RCLCPP_WARN_STREAM(logger_, "Could not get GYRO extrinsic for verification: " << e.getMessage());
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RCLCPP_WARN_STREAM(logger_,
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"Could not get GYRO extrinsic for verification: " << e.getMessage());
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}
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} catch (const ob::Error &e) {
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@@ -1250,8 +1258,9 @@ void OBLidarNode::calcAndPublishStaticTransform() {
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ex = base_stream_profile->getExtrinsicTo(stream_profile_[GYRO]);
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RCLCPP_INFO_STREAM(logger_, "Using GYRO extrinsic for IMU");
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} catch (const ob::Error &e2) {
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RCLCPP_ERROR_STREAM(logger_,
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"Failed to get " << frame_id << " extrinsic from both ACCEL and GYRO: " << e2.getMessage());
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RCLCPP_ERROR_STREAM(
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logger_, "Failed to get "
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<< frame_id << " extrinsic from both ACCEL and GYRO: " << e2.getMessage());
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ex = OBExtrinsic({{1, 0, 0, 0, 1, 0, 0, 0, 1}, {0, 0, 0}});
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}
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}
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@@ -1267,8 +1276,8 @@ void OBLidarNode::calcAndPublishStaticTransform() {
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auto timestamp = node_->now();
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publishStaticTF(timestamp, trans, Q, frame_id_[base_stream_], accel_gyro_frame_id_);
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RCLCPP_INFO_STREAM(logger_, "Publishing static transform from " << frame_id_[base_stream_]
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<< " to " << accel_gyro_frame_id_);
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RCLCPP_INFO_STREAM(logger_, "Publishing static transform from "
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<< frame_id_[base_stream_] << " to " << accel_gyro_frame_id_);
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RCLCPP_INFO_STREAM(logger_, "Translation " << trans[0] << ", " << trans[1] << ", " << trans[2]);
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RCLCPP_INFO_STREAM(logger_, "Rotation " << Q.getX() << ", " << Q.getY() << ", " << Q.getZ()
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<< ", " << Q.getW());
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