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autoware_pointcloud_preprocessor package from autoware_universe repo

autoware_adapi_specs autoware_agnocast_wrapper autoware_auto_common autoware_component_interface_specs_universe autoware_component_interface_tools autoware_component_interface_utils autoware_cuda_dependency_meta autoware_fake_test_node autoware_glog_component autoware_goal_distance_calculator autoware_grid_map_utils autoware_path_distance_calculator autoware_polar_grid autoware_time_utils autoware_traffic_light_recognition_marker_publisher autoware_traffic_light_utils autoware_universe_utils tier4_api_utils autoware_autonomous_emergency_braking autoware_collision_detector autoware_control_performance_analysis autoware_control_validator autoware_external_cmd_selector autoware_joy_controller autoware_lane_departure_checker autoware_mpc_lateral_controller autoware_obstacle_collision_checker autoware_operation_mode_transition_manager autoware_pid_longitudinal_controller autoware_predicted_path_checker autoware_pure_pursuit autoware_shift_decider autoware_smart_mpc_trajectory_follower autoware_trajectory_follower_base autoware_trajectory_follower_node autoware_vehicle_cmd_gate autoware_control_evaluator autoware_kinematic_evaluator autoware_localization_evaluator autoware_perception_online_evaluator autoware_planning_evaluator autoware_scenario_simulator_v2_adapter tier4_autoware_api_launch tier4_control_launch tier4_localization_launch tier4_map_launch tier4_perception_launch tier4_planning_launch tier4_sensing_launch tier4_simulator_launch tier4_system_launch tier4_vehicle_launch autoware_geo_pose_projector autoware_gyro_odometer autoware_ar_tag_based_localizer autoware_landmark_manager autoware_lidar_marker_localizer autoware_localization_error_monitor autoware_ndt_scan_matcher autoware_pose2twist autoware_pose_covariance_modifier autoware_pose_estimator_arbiter autoware_pose_initializer autoware_pose_instability_detector yabloc_common yabloc_image_processing yabloc_monitor yabloc_particle_filter yabloc_pose_initializer autoware_lanelet2_map_visualizer autoware_map_height_fitter autoware_map_tf_generator autoware_bytetrack autoware_cluster_merger autoware_compare_map_segmentation autoware_crosswalk_traffic_light_estimator autoware_detected_object_feature_remover autoware_detected_object_validation autoware_detection_by_tracker autoware_elevation_map_loader autoware_euclidean_cluster autoware_ground_segmentation autoware_image_projection_based_fusion autoware_lidar_apollo_instance_segmentation autoware_lidar_centerpoint autoware_lidar_transfusion autoware_map_based_prediction autoware_multi_object_tracker autoware_object_merger autoware_object_range_splitter autoware_object_velocity_splitter autoware_occupancy_grid_map_outlier_filter autoware_probabilistic_occupancy_grid_map autoware_radar_crossing_objects_noise_filter autoware_radar_fusion_to_detected_object autoware_radar_object_clustering autoware_radar_object_tracker autoware_radar_tracks_msgs_converter autoware_raindrop_cluster_filter autoware_shape_estimation autoware_simple_object_merger autoware_tensorrt_classifier autoware_tensorrt_common autoware_tensorrt_yolox autoware_tracking_object_merger autoware_traffic_light_arbiter autoware_traffic_light_category_merger autoware_traffic_light_classifier autoware_traffic_light_fine_detector autoware_traffic_light_map_based_detector autoware_traffic_light_multi_camera_fusion autoware_traffic_light_occlusion_predictor autoware_traffic_light_selector autoware_traffic_light_visualization perception_utils autoware_costmap_generator autoware_external_velocity_limit_selector autoware_freespace_planner autoware_freespace_planning_algorithms autoware_mission_planner_universe autoware_obstacle_cruise_planner autoware_obstacle_stop_planner autoware_path_optimizer autoware_path_smoother autoware_planning_validator autoware_remaining_distance_time_calculator autoware_rtc_interface autoware_scenario_selector autoware_surround_obstacle_checker autoware_behavior_path_avoidance_by_lane_change_module autoware_behavior_path_dynamic_obstacle_avoidance_module autoware_behavior_path_external_request_lane_change_module autoware_behavior_path_goal_planner_module autoware_behavior_path_lane_change_module autoware_behavior_path_planner autoware_behavior_path_planner_common autoware_behavior_path_sampling_planner_module autoware_behavior_path_side_shift_module autoware_behavior_path_start_planner_module autoware_behavior_path_static_obstacle_avoidance_module autoware_behavior_velocity_blind_spot_module autoware_behavior_velocity_crosswalk_module autoware_behavior_velocity_detection_area_module autoware_behavior_velocity_intersection_module autoware_behavior_velocity_no_drivable_lane_module autoware_behavior_velocity_no_stopping_area_module autoware_behavior_velocity_occlusion_spot_module autoware_behavior_velocity_rtc_interface autoware_behavior_velocity_run_out_module autoware_behavior_velocity_speed_bump_module autoware_behavior_velocity_template_module autoware_behavior_velocity_traffic_light_module autoware_behavior_velocity_virtual_traffic_light_module autoware_behavior_velocity_walkway_module autoware_motion_velocity_dynamic_obstacle_stop_module autoware_motion_velocity_obstacle_cruise_module autoware_motion_velocity_obstacle_slow_down_module autoware_motion_velocity_obstacle_velocity_limiter_module autoware_motion_velocity_out_of_lane_module autoware_bezier_sampler autoware_frenet_planner autoware_path_sampler autoware_sampler_common autoware_cuda_pointcloud_preprocessor autoware_cuda_utils autoware_image_diagnostics autoware_image_transport_decompressor autoware_imu_corrector autoware_pcl_extensions autoware_pointcloud_preprocessor autoware_radar_scan_to_pointcloud2 autoware_radar_static_pointcloud_filter autoware_radar_threshold_filter autoware_radar_tracks_noise_filter autoware_livox_tag_filter autoware_carla_interface autoware_dummy_perception_publisher autoware_fault_injection autoware_learning_based_vehicle_model autoware_simple_planning_simulator autoware_vehicle_door_simulator tier4_dummy_object_rviz_plugin autoware_bluetooth_monitor autoware_component_monitor autoware_component_state_monitor autoware_default_adapi autoware_adapi_adaptors autoware_adapi_visualizers autoware_automatic_pose_initializer autoware_diagnostic_graph_aggregator autoware_diagnostic_graph_utils autoware_dummy_diag_publisher autoware_dummy_infrastructure autoware_duplicated_node_checker autoware_hazard_status_converter autoware_mrm_comfortable_stop_operator autoware_mrm_emergency_stop_operator autoware_mrm_handler autoware_processing_time_checker autoware_system_diagnostic_monitor autoware_system_monitor autoware_topic_relay_controller autoware_topic_state_monitor autoware_velodyne_monitor reaction_analyzer autoware_accel_brake_map_calibrator autoware_external_cmd_converter autoware_raw_vehicle_cmd_converter autoware_steer_offset_estimator autoware_bag_time_manager_rviz_plugin autoware_mission_details_overlay_rviz_plugin autoware_overlay_rviz_plugin autoware_string_stamped_rviz_plugin autoware_perception_rviz_plugin tier4_adapi_rviz_plugin tier4_camera_view_rviz_plugin tier4_datetime_rviz_plugin tier4_localization_rviz_plugin tier4_planning_factor_rviz_plugin tier4_planning_rviz_plugin tier4_state_rviz_plugin tier4_system_rviz_plugin tier4_traffic_light_rviz_plugin tier4_vehicle_rviz_plugin

Package Summary

Tags No category tags.
Version 0.43.0
License Apache License 2.0
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/autowarefoundation/autoware_universe.git
VCS Type git
VCS Version main
Last Updated 2025-04-03
Dev Status UNMAINTAINED
CI status No Continuous Integration
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

Package Description

The ROS 2 autoware_pointcloud_preprocessor package

Additional Links

No additional links.

Maintainers

  • amc-nu
  • Yukihiro Saito
  • Kyoichi Sugahara
  • Dai Nguyen
  • Kenzo Lobos-Tsunekawa
  • Yihsiang Fang
  • Yoshi Ri
  • David Wong
  • Melike Tanrikulu
  • Max Schmeller
  • Kaan Colak

Authors

  • Open Perception
  • Julius Kammerl
  • William Woodall

autoware_pointcloud_preprocessor

Purpose

The autoware_pointcloud_preprocessor is a package that includes the following filters:

  • removing outlier points
  • cropping
  • concatenating pointclouds
  • correcting distortion
  • downsampling
  • densifying pointclouds

Inner-workings / Algorithms

Detail description of each filter’s algorithm is in the following links.

Filter Name Description Detail
concatenate_data subscribe multiple pointclouds and concatenate them into a pointcloud link
crop_box_filter remove points within a given box link
distortion_corrector compensate pointcloud distortion caused by ego vehicle’s movement during 1 scan link
downsample_filter downsampling input pointcloud link
outlier_filter remove points caused by hardware problems, rain drops and small insects as a noise link
passthrough_filter remove points on the outside of a range in given field (e.g. x, y, z, intensity) link
pointcloud_accumulator accumulate pointclouds for a given amount of time link
pointcloud_densifier enhance sparse point clouds by using information from previous frames link
vector_map_filter remove points on the outside of lane by using vector map link
vector_map_inside_area_filter remove points inside of vector map area that has given type by parameter link

Inputs / Outputs

Input

Name Type Description
~/input/points sensor_msgs::msg::PointCloud2 reference points
~/input/indices pcl_msgs::msg::Indices reference indices

Output

Name Type Description
~/output/points sensor_msgs::msg::PointCloud2 filtered points

Parameters

Node Parameters

Name Type Default Value Description
input_frame string ” “ input frame id
output_frame string ” “ output frame id
max_queue_size int 5 max queue size of input/output topics
use_indices bool false flag to use pointcloud indices
latched_indices bool false flag to latch pointcloud indices
approximate_sync bool false flag to use approximate sync option

Assumptions / Known limits

autoware::pointcloud_preprocessor::Filter is implemented based on pcl_perception [1] because of this issue.

Measuring the performance

In Autoware, point cloud data from each LiDAR sensor undergoes preprocessing in the sensing pipeline before being input into the perception pipeline. The preprocessing stages are illustrated in the diagram below:

pointcloud_preprocess_pipeline.drawio.png

Each stage in the pipeline incurs a processing delay. Mostly, we’ve used ros2 topic delay /topic_name to measure the time between the message header and the current time. This approach works well for small-sized messages. However, when dealing with large point cloud messages, this method introduces an additional delay. This is primarily because accessing these large point cloud messages externally impacts the pipeline’s performance.

Our sensing/perception nodes are designed to run within composable node containers, leveraging intra-process communication. External subscriptions to these messages (like using ros2 topic delay or rviz2) impose extra delays and can even slow down the pipeline by subscribing externally. Therefore, these measurements will not be accurate.

To mitigate this issue, we’ve adopted a method where each node in the pipeline reports its pipeline latency time. This approach ensures the integrity of intra-process communication and provides a more accurate measure of delays in the pipeline.

Benchmarking The Pipeline

The nodes within the pipeline report the pipeline latency time, indicating the duration from the sensor driver’s pointcloud output to the node’s output. This data is crucial for assessing the pipeline’s health and efficiency.

When running Autoware, you can monitor the pipeline latency times for each node in the pipeline by subscribing to the following ROS 2 topics:

  • /sensing/lidar/LidarX/crop_box_filter_self/debug/pipeline_latency_ms
  • /sensing/lidar/LidarX/crop_box_filter_mirror/debug/pipeline_latency_ms
  • /sensing/lidar/LidarX/distortion_corrector/debug/pipeline_latency_ms
  • /sensing/lidar/LidarX/ring_outlier_filter/debug/pipeline_latency_ms
  • /sensing/lidar/concatenate_data_synchronizer/debug/sensing/lidar/LidarX/pointcloud/pipeline_latency_ms

These topics provide the pipeline latency times, giving insights into the delays at various stages of the pipeline from the sensor output of LidarX to each subsequent node.

(Optional) Error detection and handling

(Optional) Performance characterization

[1] https://github.com/ros-perception/perception_pcl/blob/ros2/pcl_ros/src/pcl_ros/filters/filter.cpp

(Optional) Future extensions / Unimplemented parts

CHANGELOG

Changelog for package autoware_pointcloud_preprocessor

0.43.0 (2025-03-21)

  • Merge remote-tracking branch 'origin/main' into chore/bump-version-0.43
  • feat(autoware_pointcloud_preprocessor): add missing vehicle msg depency (#10313) feat(auotawre_pointcloud_preprocessor): add missing vehicle msg depency
  • chore: rename from [autoware.universe]{.title-ref} to [autoware_universe]{.title-ref} (#10306)
  • chore(autoware_pointcloud_preprocessor): fix variable naming in distortion corrector (#10185) chore: fix naming
  • feat(autoware_image_based_projection_fusion): redesign image based projection fusion node (#10016)
  • Contributors: Hayato Mizushima, Maxime CLEMENT, Yi-Hsiang Fang (Vivid), Yutaka Kondo

0.42.0 (2025-03-03)

  • Merge remote-tracking branch 'origin/main' into tmp/bot/bump_version_base
  • fix(autoware_pointcloud_preprocessor): fix potential double unlock in concatenate node (#10082)
    • feat: reuse collectors
    • fix: potential double unlock
    • style(pre-commit): autofix
    • chore: remove mutex
    • chore: reset the processing cloud only if needed

    * chore: fix grammar ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]\@users.noreply.github.com> Co-authored-by: SakodaShintaro <<shintaro.sakoda@tier4.jp>>

  • feat(autoware_utils): replace autoware_universe_utils with autoware_utils (#10191)
  • chore: refine maintainer list (#10110)
    • chore: remove Miura from maintainer

    * chore: add Taekjin-san to perception_utils package maintainer ---------

  • feat(autoware_pointcloud_preprocessor): reuse collectors to reduce creation of collector and timer (#10074)
    • feat: reuse collectors
    • chore: remove for-loop to find_if
    • chore: remove set period
    • chore: remove oldest timestamp
    • chore: fix managing collector list logic
    • chore: fix logging
    • feat: change to THROTTLE
    • feat: initialize required number of collectors when the node start
    • chore: fix init collector

    * chore: fix grammar ---------

  • fix(autoware_pointcloud_preprocessor): empty input validation (#10115)
    • fix(autoware_pointcloud_preprocessor): fix 0 division
    • style(pre-commit): autofix
    • fix float and error throttle
    • style(pre-commit): autofix
    • fix
    • fix param validation
    • fix unused var
    • feat add input validatoin
    • fix too cautious floating
    • fix error msg

    * fix plural

    • fix: set exclusiveMinimum 0.0

    * fix: reomve unnecessary validatoin ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]\@users.noreply.github.com>

  • feat(distortion_corrector_node): replace imu and twist callback with polling subscriber (#10057) * fix(distortion_corrector_node): replace imu and twist callback with polling subscriber Changed to read data in bulk using take to reduce subscription callback overhead. Especially effective when the frequency of imu or twist is high, such as 100Hz. * fix(distortion_corrector_node): include vector header for cpplint check ---------Co-authored-by: Takahisa.Ishikawa <<takahisa.ishikawa@tier4.jp>> Co-authored-by: Yi-Hsiang Fang (Vivid) <<146902905+vividf@users.noreply.github.com>>

  • chore(pointcloud_preprocessor): add Max to codeowners (#10083) chore(pointcloud_preprocessor): add Max to maintainers
  • Contributors: Fumiya Watanabe, Max Schmeller, Shumpei Wakabayashi, Shunsuke Miura, Takahisa Ishikawa, Yi-Hsiang Fang (Vivid), 心刚

0.41.2 (2025-02-19)

  • chore: bump version to 0.41.1 (#10088)
  • Contributors: Ryohsuke Mitsudome

0.41.1 (2025-02-10)

0.41.0 (2025-01-29)

  • Merge remote-tracking branch 'origin/main' into tmp/bot/bump_version_base
  • feat(autoware_pointcloud_preprocessor): redesign concatenate and time sync node (#8300)
    • chore: rebase main
    • chore: solve conflicts
    • chore: fix cpp check
    • chore: add diagnostics readme
    • chore: update figure
    • chore: upload jitter.png and add old design link
    • chore: add the link to the tool for analyzing timestamp
    • fix: fix bug that timer didn't cancel
    • chore: fix logic for logging

    * Update sensing/autoware_pointcloud_preprocessor/docs/concatenate-data.md Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>> * Update sensing/autoware_pointcloud_preprocessor/src/concatenate_data/combine_cloud_handler.cpp Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>> * Update sensing/autoware_pointcloud_preprocessor/schema/cocatenate_and_time_sync_node.schema.json Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>> * Update sensing/autoware_pointcloud_preprocessor/schema/cocatenate_and_time_sync_node.schema.json Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>> * Update sensing/autoware_pointcloud_preprocessor/src/concatenate_data/combine_cloud_handler.cpp Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>> * Update sensing/autoware_pointcloud_preprocessor/src/concatenate_data/combine_cloud_handler.cpp Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>>

    • chore: remove distortion corrector related changes
    • feat: add managed tf buffer
    • chore: fix filename
    • chore: add explanataion for maximum queue size
    • chore: add explanation for timeout_sec
    • chore: fix schema's explanation
    • chore: fix description for twist and odom
    • chore: remove license that are not used
    • chore: change guard to prama once
    • chore: default value change to string

    * Update sensing/autoware_pointcloud_preprocessor/test/test_concatenate_node_unit.cpp Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>> * Update sensing/autoware_pointcloud_preprocessor/test/test_concatenate_node_unit.cpp Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>> * Update sensing/autoware_pointcloud_preprocessor/test/test_concatenate_node_unit.cpp Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>> * Update sensing/autoware_pointcloud_preprocessor/test/test_concatenate_node_unit.cpp Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>>

    • style(pre-commit): autofix
    • chore: clang-tidy style for static constexpr
    • chore: remove unused vector header
    • chore: fix naming concatenated_cloud_publisher
    • chore: fix namimg diagnostic_updater_
    • chore: specify parameter in comment
    • chore: change RCLCPP_WARN to RCLCPP_WARN_STREAM_THROTTLE
    • chore: add comment for cancelling timer
    • chore: Simplify loop structure for topic-to-cloud mapping
    • chore: fix spell errors
    • chore: fix more spell error
    • chore: rename mutex and lock
    • chore: const reference for string parameter
    • chore: add explaination for RclcppTimeHash_
    • chore: change the concatenate node to parent node
    • chore: clean processOdometry and processTwist
    • chore: change twist shared pointer queue to twist queue
    • chore: refactor compensate pointcloud to function
    • chore: reallocate memory for concatenate_cloud_ptr
    • chore: remove new to make shared
    • chore: dis to distance
    • chore: refacotr poitncloud_sub
    • chore: return early return but throw runtime error
    • chore: replace #define DEFAULT_SYNC_TOPIC_POSTFIX with member variable
    • chore: fix spell error
    • chore: remove redundant function call
    • chore: replace conplex tuple to structure
    • chore: use reference instead of a pointer to conveys node
    • chore: fix camel to snake case
    • chore: fix logic of publish synchronized pointcloud
    • chore: fix cpp check
    • chore: remove logging and throw error directly
    • chore: fix clangd warnings
    • chore: fix json schema
    • chore: fix clangd warning
    • chore: remove unused variable
    • chore: fix launcher
    • chore: fix clangd warning
    • chore: ensure thread safety
    • style(pre-commit): autofix
    • chore: clean code
    • chore: add parameters for handling rosbag replay in loops
    • chore: fix diagonistic
    • chore: reduce copy operation
    • chore: reserve space for concatenated pointcloud
    • chore: fix clangd error
    • chore: fix pipeline latency
    • chore: add debug mode
    • chore: refactor convert_to_xyzirc_cloud function
    • chore: fix json schema
    • chore: fix logging output
    • chore: fix the output order of the debug mode
    • chore: fix pipeline latency output
    • chore: clean code
    • chore: set some parameters to false in testing
    • chore: fix default value for schema
    • chore: fix diagnostic msgs
    • chore: fix parameter for sample ros bag
    • chore: update readme
    • chore: fix empty pointcloud
    • chore: remove duplicated logic
    • chore: fix logic for handling empty pointcloud
    • chore: clean code
    • chore: remove rosbag_replay parameter
    • chore: remove nodelet cpp
    • chore: clang tidy warning
    • feat: add naive approach for unsynchronized pointclouds
    • chore: add more explanations in docs for naive approach
    • feat: refactor naive method and fix the multithreading issue
    • chore: set parameter to naive
    • chore: fix parameter
    • chore: fix readme

    * Update sensing/autoware_pointcloud_preprocessor/docs/concatenate-data.md Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>> * Update sensing/autoware_pointcloud_preprocessor/docs/concatenate-data.md Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>>

    • style(pre-commit): autofix
    • feat: remove mutually exclusive approaches
    • chore: fix spell error
    • chore: remove unused variable
    • refactor: refactor collectorInfo to polymorphic
    • chore: fix variable name
    • chore: fix figure and diagnostic msg in readme
    • chroe: refactor collectorinfo structure
    • chore: revert wrong file changes
    • chore: improve message
    • chore: remove unused input topics
    • chore: change to explicit check
    • chore: tier4 debug msgs to autoware internal debug msgs

    * chore: update documentation ---------Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]\@users.noreply.github.com>

  • feat(autoware_pointcloud_preprocessor): tier4_debug_msgs changed to autoware_internal_debug_msgs in autoware_pointcloud_preprocessor (#9920) feat: tier4_debug_msgs changed to autoware_internal_debug_msgs in files sensing/autoware_pointcloud_preprocessor
  • fix(autoware_pointcloud_preprocessor): fix autoware pointcloud preprocessor docs (#9765)
    • fix downsample and passthrough

    * fix: fix blockage-diag docs that page is not shown ---------

  • fix(autoware_pointcloud_preprocessor): fix image display in distortion corrector (#9761) fix: fix image display
  • fix(autoware_pointcloud_preprocessor): remove unused function mask() (#9751)
  • fix: enable to copy all information in pickup based pointcloud downsampler (#9686) enable to copy all information in downsampler
  • Contributors: Fumiya Watanabe, Ryuta Kambe, Vishal Chauhan, Yi-Hsiang Fang (Vivid), Yoshi Ri

0.40.0 (2024-12-12)

  • Merge branch 'main' into release-0.40.0
  • Revert "chore(package.xml): bump version to 0.39.0 (#9587)" This reverts commit c9f0f2688c57b0f657f5c1f28f036a970682e7f5.
  • fix: fix ticket links in CHANGELOG.rst (#9588)
  • chore(package.xml): bump version to 0.39.0 (#9587)
    • chore(package.xml): bump version to 0.39.0
    • fix: fix ticket links in CHANGELOG.rst

    * fix: remove unnecessary diff ---------Co-authored-by: Yutaka Kondo <<yutaka.kondo@youtalk.jp>>

  • fix: fix ticket links in CHANGELOG.rst (#9588)
  • fix(cpplint): include what you use - sensing (#9571)
  • fix(autoware_pointcloud_preprocessor): remove unused arg and unavailable param file. (#9525) Remove unused arg and unavailable param file.
  • fix(autoware_pointcloud_preprocessor): fix clang-diagnostic-inconsistent-missing-override (#9445)
  • 0.39.0
  • update changelog
  • Merge commit '6a1ddbd08bd' into release-0.39.0
  • fix: fix ticket links to point to https://github.com/autowarefoundation/autoware_universe (#9304)
  • chore: update license of pointcloud preprocessor (#9397) Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]\@users.noreply.github.com>
  • fix(autoware_pointcloud_preprocessor): clang-tidy error in distortion corrector (#9412) fix: clang-tidy
  • fix(autoware_pointcloud_preprocessor): clang-tidy for overrides (#9414) fix: clang-tidy for overrides
  • fix: fix ticket links to point to https://github.com/autowarefoundation/autoware_universe (#9304)
  • chore(package.xml): bump version to 0.38.0 (#9266) (#9284)
    • unify package.xml version to 0.37.0
    • remove system_monitor/CHANGELOG.rst
    • add changelog

    * 0.38.0

  • fix(autoware_pointcloud_preprocessor): fix the wrong naming of crop box parameter file (#9258) fix: fix the wrong file name
  • fix(autoware_pointcloud_preprocessor): launch file load parameter from yaml (#8129)
    • feat: fix launch file
    • chore: fix spell error
    • chore: fix parameters file name

    * chore: remove filter base ---------

  • Contributors: Daisuke Nishimatsu, Esteve Fernandez, Fumiya Watanabe, M. Fatih Cırıt, Mukunda Bharatheesha, Ryohsuke Mitsudome, Ryuta Kambe, Yi-Hsiang Fang (Vivid), Yutaka Kondo

0.39.0 (2024-11-25)

  • Merge commit '6a1ddbd08bd' into release-0.39.0
  • fix: fix ticket links to point to https://github.com/autowarefoundation/autoware_universe (#9304)
  • fix: fix ticket links to point to https://github.com/autowarefoundation/autoware_universe (#9304)
  • chore(package.xml): bump version to 0.38.0 (#9266) (#9284)
    • unify package.xml version to 0.37.0
    • remove system_monitor/CHANGELOG.rst
    • add changelog

    * 0.38.0

  • fix(autoware_pointcloud_preprocessor): fix the wrong naming of crop box parameter file (#9258) fix: fix the wrong file name
  • fix(autoware_pointcloud_preprocessor): launch file load parameter from yaml (#8129)
    • feat: fix launch file
    • chore: fix spell error
    • chore: fix parameters file name

    * chore: remove filter base ---------

  • Contributors: Esteve Fernandez, Yi-Hsiang Fang (Vivid), Yutaka Kondo

0.38.0 (2024-11-08)

  • unify package.xml version to 0.37.0
  • refactor(autoware_point_types): prefix namespace with autoware::point_types (#9169)
  • refactor(autoware_compare_map_segmentation): resolve clang-tidy error in autoware_compare_map_segmentation (#9162)
    • refactor(autoware_compare_map_segmentation): resolve clang-tidy error in autoware_compare_map_segmentation
    • style(pre-commit): autofix
    • include message_filters as SYSTEM

    * style(pre-commit): autofix ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]\@users.noreply.github.com>

  • feat(autoware_pointcloud_preprocessor): distortion corrector node update azimuth and distance (#8380)
    • feat: add option for updating distance and azimuth value
    • chore: clean code
    • chore: remove space
    • chore: add documentation
    • chore: fix docs
    • feat: conversion formula implementation for degree, still need to change to rad
    • chore: fix tests for AzimuthConversionExists function
    • feat: add fastatan to utils
    • feat: remove seperate sin, cos and use sin_and_cos function
    • chore: fix readme
    • chore: fix some grammar errors
    • chore: fix spell error
    • chore: set debug mode to false
    • chore: set update_azimuth_and_distance default value to false
    • chore: update readme
    • chore: remove cout
    • chore: add opencv license
    • chore: fix grammar error
    • style(pre-commit): autofix
    • chore: add runtime error when azimuth conversion failed
    • chore: change default pointcloud
    • chore: change function name
    • chore: move variables to structure
    • chore: add random seed
    • chore: rewrite get conversion function
    • chore: fix opencv fast atan2 function
    • chore: fix schema description

    * Update sensing/autoware_pointcloud_preprocessor/test/test_distortion_corrector_node.cpp Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>> * Update sensing/autoware_pointcloud_preprocessor/test/test_distortion_corrector_node.cpp Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>>

    • chore: move code to function for readability
    • chore: simplify code
    • chore: fix sentence, angle conversion
    • chore: add more invalid condition
    • chore: fix the string name to enum
    • chore: remove runtime error
    • chore: use optional for AngleConversion structure
    • chore: fix bug and clean code
    • chore: refactor the logic of calculating conversion
    • chore: refactor function in unit test
    • chore: RCLCPP_WARN_STREAM logging when failed to get angle conversion
    • chore: improve normalize angle algorithm
    • chore: improve multiple_of_90_degrees logic
    • chore: add opencv license
    • style(pre-commit): autofix
    • chore: clean code
    • chore: fix sentence
    • style(pre-commit): autofix
    • chore: add 0 0 0 points in test case
    • chore: fix spell error

    * Update common/autoware_universe_utils/NOTICE Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>> * Update sensing/autoware_pointcloud_preprocessor/src/distortion_corrector/distortion_corrector_node.cpp Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>> * Update sensing/autoware_pointcloud_preprocessor/src/distortion_corrector/distortion_corrector.cpp Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>>

    • chore: use constexpr for threshold
    • chore: fix the path of license
    • chore: explanation for failures
    • chore: use throttle
    • chore: fix empty pointcloud function
    • refactor: change camel to snake case

    * Update sensing/autoware_pointcloud_preprocessor/include/autoware/pointcloud_preprocessor/distortion_corrector/distortion_corrector_node.hpp Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>> * Update sensing/autoware_pointcloud_preprocessor/include/autoware/pointcloud_preprocessor/distortion_corrector/distortion_corrector_node.hpp Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>>

    • style(pre-commit): autofix

    * Update sensing/autoware_pointcloud_preprocessor/test/test_distortion_corrector_node.cpp Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>>

    • refactor: refactor virtual function in base class
    • chore: fix test naming error
    • chore: fix clang error
    • chore: fix error
    • chore: fix clangd
    • chore: add runtime error if the setting is wrong
    • chore: clean code

    * Update sensing/autoware_pointcloud_preprocessor/src/distortion_corrector/distortion_corrector.cpp Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>>

    • style(pre-commit): autofix
    • chore: fix unit test for runtime error

    * Update sensing/autoware_pointcloud_preprocessor/docs/distortion-corrector.md Co-authored-by: Kenzo Lobos Tsunekawa <<kenzo.lobos@tier4.jp>>

    • chore: fix offset_rad_threshold
    • chore: change pointer to reference
    • chore: snake_case for unit test
    • chore: fix refactor process twist and imu
    • chore: fix abs and return type of matrix to tf2
    • chore: fix grammar error
    • chore: fix readme description

    * chore: remove runtime error ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]\@users.noreply.github.com> Co-authored-by: Max Schmeller <<6088931+mojomex@users.noreply.github.com>> Co-authored-by: Kenzo Lobos Tsunekawa <<kenzo.lobos@tier4.jp>>

  • refactor(autoware_pointcloud_preprocessor): rework crop box parameters (#8466)
    • feat: add parameter schema for crop box
    • chore: fix readme
    • chore: remove filter.param.yaml file
    • chore: add negative parameter for voxel grid based euclidean cluster
    • chore: fix schema description

    * chore: fix description of negative param ---------

  • refactor(autoware_pointcloud_preprocessor): rework approximate downsample filter parameters (#8480)
    • feat: rework approximate downsample parameters
    • chore: add boundary
    • chore: change double to float
    • feat: rework approximate downsample parameters
    • chore: add boundary
    • chore: change double to float
    • chore: fix grammatical error
    • chore: fix variables from double to float in header
    • chore: change minimum to float

    * chore: fix CMakeLists ---------

  • refactor(autoware_pointcloud_preprocessor): rework dual return outlier filter parameters (#8475)
    • feat: rework dual return outlier filter parameters
    • chore: fix readme
    • chore: change launch file name
    • chore: fix type
    • chore: add boundary
    • chore: change boundary
    • chore: fix boundary
    • chore: fix json schema

    * Update sensing/autoware_pointcloud_preprocessor/schema/dual_return_outlier_filter_node.schema.json Co-authored-by: Kenzo Lobos Tsunekawa <<kenzo.lobos@tier4.jp>>

    • chore: fix grammar error
    • chore: fix description for weak_first_local_noise_threshold

    * chore: change minimum and maximum to float ---------Co-authored-by: Kenzo Lobos Tsunekawa <<kenzo.lobos@tier4.jp>>

  • refactor(autoware_pointcloud_preprocessor): rework ring outlier filter parameters (#8468)
    • feat: rework ring outlier parameters
    • chore: add explicit cast
    • chore: add boundary
    • chore: remove filter.param
    • chore: set default frame
    • chore: add maximum boundary

    * chore: boundary to float type ---------

  • refactor(autoware_pointcloud_preprocessor): rework pickup based voxel grid downsample filter parameters (#8481)
    • feat: rework pickup based voxel grid downsample filter parameter
    • chore: update date
    • chore: fix spell error
    • chore: add boundary

    * chore: fix grammatical error ---------Co-authored-by: Kenzo Lobos Tsunekawa <<kenzo.lobos@tier4.jp>>

  • ci(pre-commit): autoupdate (#7630)
    • ci(pre-commit): autoupdate
    • style(pre-commit): autofix

    * fix: remove the outer call to dict() ---------Co-authored-by: github-actions <<github-actions@github.com>> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]\@users.noreply.github.com> Co-authored-by: mitsudome-r <<ryohsuke.mitsudome@tier4.jp>>

  • refactor(autoware_pointcloud_preprocessor): rework random downsample filter parameters (#8485)
    • feat: rework random downsample filter parameter
    • chore: change name

    * chore: add explicit cast ---------Co-authored-by: Kenzo Lobos Tsunekawa <<kenzo.lobos@tier4.jp>>

  • refactor(autoware_pointcloud_preprocessor): rework pointcloud accumulator parameters (#8487)
    • feat: rework pointcloud accumulator parameters
    • chore: add explicit cast

    * chore: add boundary ---------

  • refactor(autoware_pointcloud_preprocessor): rework radius search 2d outlier filter parameters (#8474)
    • feat: rework radius search 2d outlier filter parameters
    • chore: fix schema
    • chore: explicit cast

    * chore: add boundary in schema ---------

  • refactor(autoware_pointcloud_preprocessor): rework ring passthrough filter parameters (#8472)
    • feat: rework ring passthrough parameters
    • chore: fix cmake
    • feat: add schema
    • chore: fix readme
    • chore: fix parameter file name
    • chore: add boundary
    • chore: fix default parameter

    * chore: fix default parameter in schema ---------

  • fix(autoware_pointcloud_preprocessor): static TF listener as Filter option (#8678)
  • fix(pointcloud_preprocessor): fix typo (#8762)
  • fix(autoware_pointcloud_preprocessor): instantiate templates so that the symbols exist when linking (#8743)
  • fix(autoware_pointcloud_preprocessor): fix unusedFunction (#8673) fix:unusedFunction
  • fix(autoware_pointcloud_preprocessor): resolve issue with FLT_MAX not declared on Jazzy (#8586) fix(pointcloud-preprocessor): FLT_MAX not declared Fixes compilation error on Jazzy: error: ‘FLT_MAX’ was not declared in this scope
  • fix(autoware_pointcloud_preprocessor): blockage diag node add runtime error when the parameter is wrong (#8564)
    • fix: add runtime error

    * Update blockage_diag_node.cpp Co-authored-by: badai nguyen <<94814556+badai-nguyen@users.noreply.github.com>>

    • fix: add RCLCPP error logging

    * chore: remove unused variable ---------Co-authored-by: badai nguyen <<94814556+badai-nguyen@users.noreply.github.com>>

  • chore(autoware_pointcloud_preprocessor): change unnecessary warning message to debug (#8525)
  • refactor(autoware_pointcloud_preprocessor): rework voxel grid outlier filter parameters (#8476)
    • feat: rework voxel grid outlier filter parameters

    * chore: add boundary ---------

  • refactor(autoware_pointcloud_preprocessor): rework lanelet2 map filter parameters (#8491)
    • feat: rework lanelet2 map filter parameters
    • chore: remove unrelated files
    • fix: fix node name in launch
    • chore: fix launcher
    • chore: fix spell error

    * chore: add boundary ---------

  • refactor(autoware_pointcloud_preprocessor): rework vector map inside area filter parameters (#8493)
    • feat: rework vector map inside area filter parameter
    • chore: fix launcher

    * chore: fix launcher input and output ---------

  • refactor(autoware_pointcloud_preprocessor): rework concatenate_pointcloud and time_synchronizer_node parameters (#8509)
    • feat: rewort concatenate pointclouds and time synchronizer parameter
    • chore: fix launch files
    • chore: fix schema
    • chore: fix schema
    • chore: fix integer and number default value in schema

    * chore: add boundary ---------

  • refactor(autoware_pointcloud_preprocessor): rework voxel grid downsample filter parameters (#8486)
    • feat:rework voxel grid downsample parameters

    * chore: add boundary ---------Co-authored-by: Kenzo Lobos Tsunekawa <<kenzo.lobos@tier4.jp>>

  • refactor(autoware_pointcloud_preprocessor): rework blockage diag parameters (#8488)
    • feat: rework blockage diag parameters
    • chore: fix readme
    • chore: fix schema description

    * chore: add boundary for schema ---------

  • chore(autoware_pcl_extensions): refactored the pcl_extensions (#8220) chore: refactored the pcl_extensions according to the new rules
  • feat(pointcloud_preprocessor)!: revert "fix: added temporary retrocompatibility to old perception data (#7929)" (#8397) * feat!(pointcloud_preprocessor): Revert "fix: added temporary retrocompatibility to old perception data (#7929)" This reverts commit 6b9f164b123e2f6a6fedf7330e507d4b68e45a09. * feat(pointcloud_preprocessor): minor grammar fix Co-authored-by: David Wong <<33114676+drwnz@users.noreply.github.com>> ---------Co-authored-by: Kenzo Lobos Tsunekawa <<kenzo.lobos@tier4.jp>> Co-authored-by: David Wong <<33114676+drwnz@users.noreply.github.com>>

  • fix(autoware_pointcloud_preprocessor): fix variableScope (#8447)
    • fix:variableScope

    * refactor:use const ---------

  • fix(autoware_pointcloud_preprocessor): fix unreadVariable (#8370) fix:unreadVariable
  • fix(ring_outlier_filter): remove unnecessary resize to prevent zero points (#8402) fix: remove unnecessary resize
  • fix(autoware_pointcloud_preprocessor): fix cppcheck warnings of functionStatic (#8163) fix: deal with functionStatic warnings Co-authored-by: Yi-Hsiang Fang (Vivid) <<146902905+vividf@users.noreply.github.com>>
  • perf(autoware_pointcloud_preprocessor): lazy & managed TF listeners (#8174)
    • perf(autoware_pointcloud_preprocessor): lazy & managed TF listeners
    • fix(autoware_pointcloud_preprocessor): param names & reverse frames transform logic
    • fix(autoware_ground_segmentation): add missing TF listener
    • feat(autoware_ground_segmentation): change to static TF buffer
    • refactor(autoware_pointcloud_preprocessor): move StaticTransformListener to universe utils
    • perf(autoware_universe_utils): skip redundant transform
    • fix(autoware_universe_utils): change checks order

    * doc(autoware_universe_utils): add docstring ---------

  • fix(autoware_pointcloud_preprocessor): fix functionConst (#8280) fix:functionConst
  • fix(autoware_pointcloud_preprocessor): fix passedByValue (#8242) fix:passedByValue
  • fix(autoware_pointcloud_preprocessor): fix redundantInitialization (#8229)
  • fix(autoware_pointcloud_preprocessor): revert increase_size() in robin_hood (#8151)
  • fix(autoware_pointcloud_preprocessor): fix knownConditionTrueFalse warning (#8139)
  • refactor(pointcloud_preprocessor): prefix package and namespace with autoware (#7983)
    • refactor(pointcloud_preprocessor)!: prefix package and namespace with autoware
    • style(pre-commit): autofix
    • style(pointcloud_preprocessor): suppress line length check for macros
    • fix(pointcloud_preprocessor): missing prefix
    • fix(pointcloud_preprocessor): missing prefix
    • fix(pointcloud_preprocessor): missing prefix
    • fix(pointcloud_preprocessor): missing prefix
    • fix(pointcloud_preprocessor): missing prefix
    • refactor(pointcloud_preprocessor): directory structure (soft)

    * refactor(pointcloud_preprocessor): directory structure (hard) ---------Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]\@users.noreply.github.com> Co-authored-by: Kenzo Lobos Tsunekawa <<kenzo.lobos@tier4.jp>>

  • Contributors: Amadeusz Szymko, Esteve Fernandez, Fumiya Watanabe, Kenzo Lobos Tsunekawa, Rein Appeldoorn, Ryuta Kambe, Shintaro Tomie, Yi-Hsiang Fang (Vivid), Yoshi Ri, Yukinari Hisaki, Yutaka Kondo, awf-autoware-bot[bot], kobayu858, taisa1

0.26.0 (2024-04-03)

Wiki Tutorials

This package does not provide any links to tutorials in it's rosindex metadata. You can check on the ROS Wiki Tutorials page for the package.

Launch files

  • launch/ring_passthrough_filter.launch.xml
      • input_topic_name [default: /sensing/lidar/top/pointcloud_raw]
      • output_topic_name [default: /sensing/lidar/top/ring_passthrough_filtered/pointcloud]
      • input_frame [default: ]
      • output_frame [default: base_link]
      • passthrough_filter_uint16_param_file [default: $(find-pkg-share autoware_pointcloud_preprocessor)/config/passthrough_filter_uint16_node.param.yaml]
  • launch/vector_map_inside_area_filter_node.launch.xml
      • input_vector_map [default: /map/vector_map]
      • input_pointcloud [default: compare_map_filtered/pointcloud]
      • output_pointcloud [default: vector_map_inside_area_filtered/pointcloud]
      • vector_map_inside_area_filter_param_file [default: $(find-pkg-share autoware_pointcloud_preprocessor)/config/vector_map_inside_area_filter_node.param.yaml]
  • launch/pointcloud_accumulator_node.launch.xml
      • input_topic_name [default: /sensing/lidar/top/pointcloud]
      • output_topic_name [default: /sensing/lidar/top/pointcloud_accumulated]
      • input_frame [default: base_link]
      • output_frame [default: base_link]
      • pointcloud_accumulator_param_file [default: $(find-pkg-share autoware_pointcloud_preprocessor)/config/pointcloud_accumulator_node.param.yaml]
  • launch/approximate_downsample_filter.launch.xml
      • input_topic_name [default: /sensing/lidar/top/pointcloud_raw]
      • output_topic_name [default: /sensing/lidar/top/approximate_downsample_filter/pointcloud]
      • input_frame [default: ]
      • output_frame [default: ]
      • approximate_downsample_filter_param_file [default: $(find-pkg-share autoware_pointcloud_preprocessor)/config/approximate_downsample_filter_node.param.yaml]
  • launch/voxel_grid_outlier_filter_node.launch.xml
      • input_topic_name [default: /pointcloud_raw]
      • output_topic_name [default: /pointcloud_filtered]
      • input_frame [default: ]
      • output_frame [default: ]
      • voxel_grid_outlier_filter_param_file [default: $(find-pkg-share autoware_pointcloud_preprocessor)/config/voxel_grid_outlier_filter_node.param.yaml]
  • launch/blockage_diag_node.launch.xml
      • input_topic_name [default: pointcloud_raw_ex]
      • output_topic_name [default: blockage_diag/pointcloud]
      • blockage_diagnostics_param_file [default: $(find-pkg-share autoware_pointcloud_preprocessor)/config/blockage_diag_node.param.yaml]
  • launch/voxel_grid_downsample_filter_node.launch.xml
      • input_topic_name [default: /sensing/lidar/top/pointcloud_raw]
      • output_topic_name [default: /sensing/lidar/top/voxel_grid_downsample_filter/pointcloud]
      • input_frame [default: base_link]
      • output_frame [default: base_link]
      • voxel_grid_downsample_filter_param_file [default: $(find-pkg-share autoware_pointcloud_preprocessor)/config/voxel_grid_downsample_filter_node.param.yaml]
  • launch/crop_box_filter_node.launch.xml
      • input_topic_name [default: /sensing/lidar/top/pointcloud_raw_ex]
      • output_topic_name [default: /sensing/lidar/top/self_cropped/pointcloud_ex]
      • input_frame [default: base_link]
      • output_frame [default: base_link]
      • crop_box_filter_param_file [default: $(find-pkg-share autoware_pointcloud_preprocessor)/config/crop_box_filter_node.param.yaml]
  • launch/concatenate_and_time_sync_node.launch.xml
      • input/twist [default: /sensing/vehicle_velocity_converter/twist_with_covariance]
      • output [default: /sensing/lidar/concatenated/pointcloud]
      • param_file [default: $(find-pkg-share autoware_pointcloud_preprocessor)/config/concatenate_and_time_sync_node.param.yaml]
  • launch/lanelet2_map_filter_node.launch.xml
      • input_vector_map [default: /map/vector_map]
      • input_pointcloud [default: detection_area/pointcloud]
      • output_pointcloud [default: vector_map_filtered/pointcloud]
      • lanelet2_map_filter_param_file [default: $(find-pkg-share autoware_pointcloud_preprocessor)/config/lanelet2_map_filter_node.param.yaml]
  • launch/dual_return_outlier_filter_node.launch.xml
      • input_topic_name [default: /pointcloud]
      • output_topic_name [default: /pointcloud_filtered]
      • input_frame [default: ]
      • output_frame [default: ]
      • dual_return_outlier_filter_param_file [default: $(find-pkg-share autoware_pointcloud_preprocessor)/config/dual_return_outlier_filter_node.param.yaml]
  • launch/time_synchronizer_node.launch.xml
      • input/twist [default: /sensing/vehicle_velocity_converter/twist_with_covariance]
      • param_file [default: $(find-pkg-share autoware_pointcloud_preprocessor)/config/time_synchronizer_node.param.yaml]
  • launch/concatenate_pointcloud.launch.xml
      • output [default: /sensing/lidar/concatenated/pointcloud]
      • param_file [default: $(find-pkg-share autoware_pointcloud_preprocessor)/config/concatenate_pointclouds.param.yaml]
  • launch/pickup_based_voxel_grid_downsample_filter_node.launch.xml
      • input_topic_name [default: /sensing/lidar/top/pointcloud_raw]
      • output_topic_name [default: /sensing/lidar/top/pickup_based_voxel_grid_downsample_filter/pointcloud]
      • input_frame [default: ]
      • output_frame [default: ]
      • pickup_based_voxel_grid_downsample_filter_param_file [default: $(find-pkg-share autoware_pointcloud_preprocessor)/config/pickup_based_voxel_grid_downsample_filter_node.param.yaml]
  • launch/preprocessor.launch.xml
      • input_points_raw_list [default: ['/points_raw']]
      • output_points_raw [default: /points_raw/cropbox/filtered]
      • tf_output_frame [default: base_link]
  • launch/random_downsample_filter_node.launch.xml
      • input_topic_name [default: /sensing/lidar/top/pointcloud_raw]
      • output_topic_name [default: /sensing/lidar/top/random_downsample_filter/pointcloud]
      • input_frame [default: ]
      • output_frame [default: ]
      • random_downsample_filter_param_file [default: $(find-pkg-share autoware_pointcloud_preprocessor)/config/random_downsample_filter_node.param.yaml]
  • launch/ring_outlier_filter_node.launch.xml
      • input_topic_name [default: /sensing/lidar/top/pointcloud_raw_ex]
      • output_topic_name [default: /sensing/lidar/top/pointcloud_ring_filtered]
      • input_frame [default: ]
      • output_frame [default: ]
      • ring_outlier_filter_param_file [default: $(find-pkg-share autoware_pointcloud_preprocessor)/config/ring_outlier_filter_node.param.yaml]
  • launch/radius_search_2d_outlier_filter_node.launch.xml
      • input_topic_name [default: /sensing/lidar/top/pointcloud_raw_ex]
      • output_topic_name [default: /sensing/lidar/top/pointcloud_filtered]
      • input_frame [default: base_link]
      • output_frame [default: base_link]
      • radius_search_2d_outlier_filter_param_file [default: $(find-pkg-share autoware_pointcloud_preprocessor)/config/radius_search_2d_outlier_filter_node.param.yaml]
  • launch/distortion_corrector_node.launch.xml
      • input/pointcloud [default: /sensing/lidar/top/mirror_cropped/pointcloud_ex]
      • input/twist [default: /sensing/vehicle_velocity_converter/twist_with_covariance]
      • input/imu [default: /sensing/imu/imu_data]
      • output/pointcloud [default: /sensing/lidar/top/rectified/pointcloud_ex]
      • param_file [default: $(find-pkg-share autoware_pointcloud_preprocessor)/config/distortion_corrector_node.param.yaml]

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

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